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Antivirus software (abbreviated to AV software), also known as anti-malware, is intended to prevent, detect, and remove .

Antivirus software was originally developed to detect and remove , hence the name. However, with the proliferation of other , antivirus software started to protect against other computer threats. Some products also include protection from malicious , spam, and .


History

1971–1980 period (pre-antivirus days)
The first known computer virus appeared in 1971 and was dubbed the "Creeper virus". This computer virus infected Digital Equipment Corporation's (DEC) PDP-10 mainframe computers running the TENEX operating system. From the first email to the first YouTube video: a definitive internet history . Tom Meltzer and Sarah Phillips. . October 23, 2009 IEEE Annals of the History of Computing, Volumes 27–28. IEEE Computer Society, 2005. 74 : "...from one machine to another led to experimentation with the Creeper program, which became the world's first computer worm: a computation that used the network to recreate itself on another node, and spread from node to node."

The Creeper virus was eventually deleted by a program created by and known as "The Reaper". Some people consider "The Reaper" the first antivirus software ever written – it may be the case, but it is important to note that the Reaper was actually a virus itself specifically designed to remove the Creeper virus.

The Creeper virus was followed by several other viruses. The first known that appeared "in the wild" was "", in 1981, which infected computers.

In 1983, the term "computer virus" was coined by in one of the first ever published academic papers on . Fred Cohen: "Computer Viruses – Theory and Experiments" (1983) . Eecs.umich.edu (November 3, 1983). Retrieved on 2017-01-03. Cohen used the term "computer virus" to describe programs that: "affect other computer programs by modifying them in such a way as to include a (possibly evolved) copy of itself." (note that a more recent definition of has been given by the Hungarian security researcher Péter Szőr: "a code that recursively replicates a possibly evolved copy of itself").

The first IBM PC compatible "in the wild" computer virus, and one of the first real widespread infections, was "Brain" in 1986. From then, the number of viruses has grown exponentially. Most of the computer viruses written in the early and mid-1980s were limited to self-reproduction and had no specific damage routine built into the code. That changed when more and more programmers became acquainted with computer virus programming and created viruses that manipulated or even destroyed data on infected computers.

Before connectivity was widespread, computer viruses were typically spread by infected . Antivirus software came into use, but was updated relatively infrequently. During this time, virus checkers essentially had to check executable files and the boot sectors of floppy disks and hard disks. However, as internet usage became common, viruses began to spread online.


1980–1990 period (early days)
There are competing claims for the innovator of the first antivirus product. Possibly, the first publicly documented removal of an "in the wild" computer virus (the "Vienna virus") was performed by in 1987. Kaspersky Lab Virus list. viruslist.com

In 1987, Andreas Lüning and Kai Figge, who founded G Data Software in 1985, released their first antivirus product for the platform. In 1987, the Ultimate Virus Killer (UVK) was also released. This was the de facto industry standard virus killer for the and , the last version of which (version 9.0) was released in April 2004. In 1987, in the United States, founded the company and, at the end of that year, he released the first version of .

(2026). 9780761477679, Paul Bernabeo. .
Also in 1987 (in ), Peter Paško, Rudolf Hrubý, and Miroslav Trnka created the first version of NOD antivirus.

In 1987, Fred Cohen wrote that there is no algorithm that can perfectly detect all possible computer viruses.Cohen, Fred, An Undetectable Computer Virus (Archived), 1987, IBM

Finally, at the end of 1987, the first two heuristic antivirus utilities were released: Flushot Plus by and Anti4us by Erwin Lanting. In his O'Reilly book, Malicious Mobile Code: Virus Protection for Windows, Roger Grimes described Flushot Plus as "the first holistic program to fight malicious mobile code (MMC)."

(2001). 9781565926820, O'Reilly Media, Inc.. .

However, the kind of heuristic used by early AV engines was totally different from those used today. The first product with a heuristic engine resembling modern ones was F-PROT in 1991. Early heuristic engines were based on dividing the binary into different sections: data section, code section (in a legitimate binary, it usually starts always from the same location). Indeed, the initial viruses re-organized the layout of the sections, or overrode the initial portion of a section in order to jump to the very end of the file where malicious code was located—only going back to resume execution of the original code. This was a very specific pattern, not used at the time by any legitimate software, which represented an elegant heuristic to catch suspicious code. Other kinds of more advanced heuristics were later added, such as suspicious section names, incorrect header size, regular expressions, and partial pattern in-memory matching.

In 1988, the growth of antivirus companies continued. In Germany, Tjark Auerbach founded ( H+BEDV at the time) and released the first version of (named "Luke Filewalker" at the time). In Spain, Carlos Jiménez released the first version of his antivirus (he founded Anyware Seguridad Informática, now part of McAfee, one year later). In , Vesselin Bontchev released his first freeware antivirus program (he later joined FRISK Software). Also Frans Veldman released the first version of ThunderByte Antivirus, also known as TBAV (he sold his company to Norman Safeground in 1998). In , Pavel Baudiš and Eduard Kučera founded (at the time ALWIL Software) and released their first version of avast! antivirus. In June 1988, in , released its first antivirus software, called V1 (he founded AhnLab later in 1995). Finally, in autumn 1988, in the United Kingdom, Alan Solomon founded S&S International and created his Dr. Solomon's Anti-Virus Toolkit (although he launched it commercially only in 1991 – in 1998 Solomon's company was acquired by , then known as Network Associates Inc.).

Also in 1988, a mailing list named VIRUS-L was started on the /EARN network where new viruses and the possibilities of detecting and eliminating viruses were discussed. Some members of this mailing list were: Alan Solomon, (), Friðrik Skúlason (FRISK Software), (), Luis Corrons (), Mikko Hyppönen (), Péter Szőr, Tjark Auerbach () and Vesselin Bontchev (FRISK Software).

In 1989, in , Friðrik Skúlason created the first version of F-PROT Anti-Virus (he founded FRISK Software only in 1993). Meanwhile, in the United States, (founded by Gary Hendrix in 1982) launched its first (SAM).SAM Identifies Virus-Infected Files, Repairs Applications, InfoWorld, May 22, 1989 SAM 2.0, released March 1990, incorporated technology allowing users to easily update SAM to intercept and eliminate new viruses, including many that didn't exist at the time of the program's release.SAM Update Lets Users Program for New Viruses, InfoWorld, February 19, 1990

In the end of the 1980s, in United Kingdom, Jan Hruska and Peter Lammer founded the security firm and began producing their first antivirus and encryption products. In the same period, in Hungary, was founded (and subsequently incorporated by ).


1990–2000 period (emergence of the antivirus industry)
In 1990, in Spain, Mikel Urizarbarrena founded ( Panda Software at the time). In Hungary, the security researcher Péter Szőr released the first version of Pasteur antivirus.

In 1990, the Computer Antivirus Research Organization () was founded. In 1991, CARO released the "Virus Naming Scheme", originally written by Friðrik Skúlason and Vesselin Bontchev. Although this naming scheme is now outdated, it remains the only existing standard that most computer security companies and researchers ever attempted to adopt. members includes: Alan Solomon, Costin Raiu, Dmitry Gryaznov, , Friðrik Skúlason, , Mikko Hyppönen, Morton Swimmer, Nick FitzGerald, , Peter Ferrie, Righard Zwienenberg and Vesselin Bontchev. CAROids, Hamburg 2003

In 1991, in the United States, released the first version of . In the same year, in the , Jan Gritzbach and Tomáš Hofer founded ( Grisoft at the time), although they released the first version of their Anti-Virus Guard (AVG) only in 1992. On the other hand, in , (founded in 1988 by Petri Allas and Risto Siilasmaa – with the name of Data Fellows) released the first version of their antivirus product. claims to be the first antivirus firm to establish a presence on the World Wide Web.

In 1991, the European Institute for Computer Antivirus Research (EICAR) was founded to further antivirus research and improve development of antivirus software.

In 1992, in Russia, Igor Danilov released the first version of SpiderWeb, which later became Dr.Web.

In 1994, reported that there were 28,613 unique malware samples (based on MD5) in their database.In

Over time other companies were founded. In 1996, in , was founded and released the first version of Anti-Virus eXpert (AVX). In 1997, in Russia, and Natalya Kaspersky co-founded security firm .

In 1996, there was also the first "in the wild" virus, known as "".

In 1999, reported that there were 98,428 unique malware samples (based on MD5) in their database.


2000–2005 period
In 2000, Rainer Link and Howard Fuhs started the first open source antivirus engine, called OpenAntivirus Project.

In 2001, Tomasz Kojm released the first version of , the first ever open source antivirus engine to be commercialised. In 2007, was bought by , which in turn was acquired by in 2013.

In 2002, in United Kingdom, Morten Lund and Theis Søndergaard co-founded the antivirus firm BullGuard. Der Unternehmer – brand eins online . Brandeins.de (July 2009). Retrieved on January 3, 2017.

In 2005, reported that there were 333,425 unique malware samples (based on MD5) in their database.


2005–2014 period
In 2007, reported a number of 5,490,960 new unique malware samples (based on MD5) only for that year. In 2012 and 2013, antivirus firms reported a new malware samples range from 300,000 to over 500,000 per day.

Over the years it has become necessary for antivirus software to use several different strategies (e.g. specific email and network protection or low level modules) and detection algorithms, as well as to check an increasing variety of files, rather than just executables, for several reasons:

  • Powerful macros used in applications, such as , presented a risk. Virus writers could use the macros to write viruses embedded within documents. This meant that computers could now also be at risk from infection by opening documents with hidden attached macros.
  • The possibility of embedding executable objects inside otherwise non-executable file formats can make opening those files a risk.
  • Later email programs, in particular Microsoft's and Outlook, were vulnerable to viruses embedded in the email body itself. A user's computer could be infected by just opening or previewing a message.

In 2005, was the first security firm that developed an Anti-Rootkit technology, called BlackLight.

Because most users are usually connected to the Internet on a continual basis, first proposed a antivirus design in 2008.

In February 2008 McAfee Labs added the industry-first cloud-based anti-malware functionality to VirusScan under the name Artemis. It was tested by in February 2008 McAfee Artemis Preview Report . av-comparatives.org and officially unveiled in August 2008 in . McAfee Third Quarter 2008 . corporate-ir.net

Cloud AV created problems for comparative testing of security software – part of the AV definitions was out of testers control (on constantly updated AV company servers) thus making results non-repeatable. As a result, Anti-Malware Testing Standards Organisation (AMTSO) started working on method of testing cloud products which was adopted on May 7, 2009.

In 2011, AVG introduced a similar cloud service, called Protective Cloud Technology.


2014–present: rise of next-gen, market consolidation
Following the 2013 release of the APT 1 report from , the industry has seen a shift towards signature-less approaches to the problem capable of detecting and mitigating zero-day attacks. Numerous approaches to address these new forms of threats have appeared, including behavioral detection, artificial intelligence, machine learning, and cloud-based file detection. According to Gartner, it is expected the rise of new entrants, such Carbon Black, and will force end point protection incumbents into a new phase of innovation and acquisition.

One method from involves micro-virtualization to protect desktops from malicious code execution initiated by the end user. Another approach from and Carbon Black focuses on behavioral detection by building a full context around every process execution path in real time, while Cylance leverages an artificial intelligence model based on machine learning.

Increasingly, these signature-less approaches have been defined by the media and analyst firms as "next-generation" antivirus and are seeing rapid market adoption as certified antivirus replacement technologies by firms such as Coalfire and DirectDefense. In response, traditional antivirus vendors such as , and have responded by incorporating "next-gen" offerings into their portfolios as analyst firms such as Forrester and have called traditional signature-based antivirus "ineffective" and "outdated". The Forrester Wave™: Endpoint Security Suites, Q4 2016 . Forrester.com (October 19, 2016). Retrieved on 2017-01-03.

As of Windows 8, Windows includes its own free antivirus protection under the brand. Despite bad detection scores in its early days, AV-Test now certifies Defender as one of its top products. While it isn't publicly known how the inclusion of antivirus software in Windows affected antivirus sales, Google search traffic for antivirus has declined significantly since 2010. In 2014, bought McAfee.

Since 2016, there has been a notable amount of consolidation in the industry. purchased in 2016 for $1.3 billion. was acquired by owner (then NortonLifeLock) in 2020 for $360 million. In 2021, the division of acquired BullGuard. The BullGuard brand was discontinued in 2022 and its customers were migrated to Norton. In 2022, Gen Digital acquired Avast, effectively consolidating four major antivirus brands under one owner.

In September 2024, following the US Commerce Department's ban on , Pango Group acquired its customers (about 1 million). The customers received continued services with no action required on their part. Then, in December 2024, Pango Group merged with Total Security, the provider of Total AV antivirus. The combined entity, now called Point Wild, has an enterprise value of $1.7 billion.

As of 2024, more than half of Americans use built-in antivirus protection for their devices like Microsoft Defender or XProtect from Apple. However, about 121 million adults still use third-party antivirus software. Half of these adults use paid products, and about 50% of third-party software users - the owners of personal computers and operating systems. Antivirus programs on mobile devices are used by 17% of adults.

The 2025 antivirus market report confirms that most third-party antivirus users are on desktop devices, primarily aged between 35 and 45. In contrast, younger users (18–25) tend to rely on instead. In the U.S., on average, 75–85% of people use antivirus software or some other form of protection on at least one device. Antivirus software for computers and is predominantly used by residents of large cities. Mobile device users more often rely on rather than antivirus software for digital security. Moreover, the majority of password‑manager users live in medium‑sized and small towns.


Identification methods
In 1987, demonstrated that the algorithm which would be able to detect all possible viruses can't possibly exist (like the algorithm which determines ). However, using different layers of defense, a good detection rate may be achieved.

There are several methods which antivirus engines can use to identify malware:

  • Sandbox detection: a particular behavioural-based detection technique that, instead of detecting the behavioural fingerprint at run time, it executes the programs in a , logging what actions the program performs. Depending on the actions logged which can include memory usage and network accesses, the antivirus engine can determine if the program is malicious or not. Sandboxing Protects Endpoints | Stay Ahead Of Zero Day Threats . Enterprise.comodo.com (June 20, 2014). Retrieved on 2017-01-03. If not, then, the program is executed in the real environment. Although this technique has shown to be quite effective, given its heaviness and slowness, it is rarely used in end-user antivirus solutions.
  • techniques: one of the latest approaches applied in malware detection. and algorithms are used to try to classify the behaviour of a file (as either malicious or benign) given a series of file features, that are extracted from the file itself.
    (2026). 9781424487462
    (2026). 9780769510460


Signature-based detection
Traditional antivirus software relies heavily upon signatures to identify malware.

Substantially, when a malware sample arrives in the hands of an antivirus firm, it is analysed by malware researchers or by dynamic analysis systems. Then, once it is determined to be a malware, a proper signature of the file is extracted and added to the signatures database of the antivirus software. Automatic Malware Signature Generation . (PDF) . Retrieved on January 3, 2017.

Although the signature-based approach can effectively contain malware outbreaks, malware authors have tried to stay a step ahead of such software by writing "oligomorphic", "" and, more recently, "" viruses, which encrypt parts of themselves or otherwise modify themselves as a method of disguise, so as to not match virus signatures in the dictionary.


Heuristics
Many viruses start as a single infection and through either or refinements by other attackers, can grow into dozens of slightly different strains, called variants. Generic detection refers to the detection and removal of multiple threats using a single virus definition.

For example, the trojan has several family members, depending on the antivirus vendor's classification. classifies members of the Vundo family into two distinct categories, Trojan.Vundo and Trojan.Vundo.B.

While it may be advantageous to identify a specific virus, it can be quicker to detect a virus family through a generic signature or through an inexact match to an existing signature. Virus researchers find common areas that all viruses in a family share uniquely and can thus create a single generic signature. These signatures often contain non-contiguous code, using wildcard characters where differences lie. These wildcards allow the scanner to detect viruses even if they are padded with extra, meaningless code. A detection that uses this method is said to be "heuristic detection".


Rootkit detection
Anti-virus software can attempt to scan for rootkits. A is a type of designed to gain administrative-level control over a computer system without being detected. Rootkits can change how the functions and in some cases can tamper with the anti-virus program and render it ineffective. Rootkits are also difficult to remove, in some cases requiring a complete re-installation of the operating system.


Real-time protection
Real-time protection, on-access scanning, background guard, resident shield, autoprotect, and other synonyms refer to the automatic protection provided by most antivirus, anti-spyware, and other anti-malware programs. This monitors computer systems for suspicious activity such as computer viruses, spyware, adware, and other malicious objects. Real-time protection detects threats in opened files and scans apps in real-time as they are installed on the device. When inserting a CD, opening an email, or browsing the web, or when a file already on the computer is opened or executed.


Machine learning detection
Machine learning has emerged as a core detection method in modern antivirus software, using algorithms trained on large datasets to classify software as malicious or benign. ML-based approaches are diverse, but detectors typically extract features from files, such as API call sequences, byte n-grams, opcode distributions, behavioral characteristics, or even raw bytes, and train classifiers to identify malware based on learned patterns from this data.

ML-based detection can be highly effective, but still faces significant challenges. Concept drift occurs as malware continuously evolves, causing trained models to degrade in accuracy over time without regular retraining on fresh samples. Research has demonstrated that even simple obfuscation techniques can create adversarial variants that bypass ML-based detectors while preserving malicious functionality.

(2026). 9781450377751
Additionally, the highly imbalanced nature of real-world data, where benign files vastly outnumber malicious ones, makes acquiring training data difficult and requires careful tuning to avoid unacceptable false positive rates.
(2026). 9781450368339


Issues of concern

Unexpected renewal costs
Some commercial antivirus software end-user license agreements include a clause that the subscription will be automatically renewed, and the purchaser's credit card automatically billed, at the renewal time without explicit approval. For example, requires users to unsubscribe at least 60 days before the expiration of the present subscription, while sends notifications to unsubscribe 30 days before the renewal. also renews subscriptions automatically by default.


Rogue security applications
Some apparent antivirus programs are actually masquerading as legitimate software, such as , MS Antivirus, and .


Problems caused by false positives
A "false positive" or "false alarm" is when antivirus software identifies a non-malicious file as malware. When this happens, it can cause serious problems. For example, if an antivirus program is configured to immediately delete or quarantine infected files, as is common on Microsoft Windows antivirus applications, a false positive in an essential file can render the Windows or some applications unusable. Recovering from such damage to critical software infrastructure incurs technical support costs and businesses can be forced to close whilst remedial action is undertaken.

Examples of serious false-positives:

  • May 2007: a faulty virus signature issued by mistakenly removed essential operating system files, leaving thousands of PCs unable to .
  • May 2007: the required by on Windows was falsely detected by as being a Trojan and it was automatically removed, preventing Pegasus Mail from running. Norton AntiVirus had falsely identified three releases of Pegasus Mail as malware, and would delete the Pegasus Mail installer file when that happened. In response to this Pegasus Mail stated:
:
  • April 2010: detected svchost.exe, a normal Windows binary, as a virus on machines running with Service Pack 3, causing a reboot loop and loss of all network access.
  • December 2010: a faulty update on the AVG anti-virus suite damaged 64-bit versions of Windows 7, rendering it unable to boot, due to an endless boot loop created.
  • October 2011: Microsoft Security Essentials (MSE) removed the web browser, rival to Microsoft's own Internet Explorer. MSE flagged Chrome as a Zbot banking trojan.
  • September 2012: ' anti-virus suite identified various update-mechanisms, including its own, as malware. If it was configured to automatically delete detected files, Sophos Antivirus could render itself unable to update, required manual intervention to fix the problem.
  • September 2017: the Google Play Protect anti-virus started identifying 's Moto G4 Bluetooth application as malware, causing Bluetooth functionality to become disabled.
  • September 2022: Microsoft Defender flagged all Chromium based web browsers and Electron based apps like WhatsApp, Discord, Spotify as a severe threat.


System and interoperability related issues
Running (the real-time protection of) multiple antivirus programs concurrently can degrade performance and create conflicts. However, using a concept called , several companies (including G Data Software and ) have created applications which can run multiple engines concurrently.

It is sometimes necessary to temporarily disable virus protection when installing major updates such as Windows Service Packs or updating graphics card drivers. Active antivirus protection may partially or completely prevent the installation of a major update. Anti-virus software can cause problems during the installation of an operating system upgrade, e.g. when upgrading to a newer version of Windows "in place"—without erasing the previous version of Windows. Microsoft recommends that anti-virus software be disabled to avoid conflicts with the upgrade installation process. Mentioned within "Before you begin". Mentioned within "General troubleshooting". Active anti-virus software can also interfere with a update process.

The functionality of a few computer programs can be hampered by active anti-virus software. For example, , a disk encryption program, states on its troubleshooting page that anti-virus programs can conflict with TrueCrypt and cause it to malfunction or operate very slowly. Anti-virus software can impair the performance and stability of games running in the Steam platform. Steam support page.

Support issues also exist around antivirus application interoperability with common solutions like and network access control products. These technology solutions often have policy assessment applications that require an up-to-date antivirus to be installed and running. If the antivirus application is not recognized by the policy assessment, whether because the antivirus application has been updated or because it is not part of the policy assessment library, the user will be unable to connect.


Effectiveness
Studies in December 2007 showed that the effectiveness of antivirus software had decreased in the previous year, particularly against unknown or zero day attacks. The computer magazine c't found that detection rates for these threats had dropped from 40 to 50% in 2006 to 20–30% in 2007. At that time, the only exception was the NOD32 antivirus, which managed a detection rate of 68%. According to the ZeuS tracker website the average detection rate for all variants of the ZeuS trojan is as low as 40%.

The problem is magnified by the changing intent of virus authors. Some years ago it was obvious when a virus infection was present. At the time, viruses were written by amateurs and exhibited destructive behavior or . Modern viruses are often written by professionals, financed by .

In 2008, , of , stated that the anti-virus industry has over-hyped how effective its products are—and so has been misleading customers—for years.

Independent testing on all the major virus scanners consistently shows that none provides 100% virus detection. The best ones provided as high as 99.9% detection for simulated real-world situations, while the lowest provided 91.1% in tests conducted in August 2013. Many virus scanners produce false positive results as well, identifying benign files as malware.

Although methods may differ, some notable independent quality testing agencies include , , SE Labs, West Coast Labs, , and other members of the Anti-Malware Testing Standards Organization.

(2026). 9780080558660, . .


New viruses
Anti-virus programs are not always effective against new viruses, even those that use non-signature-based methods that should detect new viruses. The reason for this is that the virus designers test their new viruses on the major anti-virus applications to make sure that they are not detected before releasing them into the wild.

Some new viruses, particularly , use to avoid detection by virus scanners. Jerome Segura, a security analyst with ParetoLogic, explained:

A proof of concept virus has used the Graphics Processing Unit (GPU) to avoid detection from anti-virus software. The potential success of this involves bypassing the CPU in order to make it much harder for security researchers to analyse the inner workings of such malware.


Rootkits
Detecting rootkits is a major challenge for anti-virus programs. Rootkits have full administrative access to the computer and are invisible to users and hidden from the list of running processes in the . Rootkits can modify the inner workings of the and tamper with antivirus programs.


Damaged files
If a file has been infected by a computer virus, anti-virus software will attempt to remove the virus code from the file during disinfection, but it is not always able to restore the file to its undamaged state. In such circumstances, damaged files can only be restored from existing backups or (this is also true for ); installed software that is damaged requires re-installation (however, see System File Checker).


Firmware infections
Any writeable firmware in the computer can be infected by malicious code. This is a major concern, as an infected could require the actual BIOS chip to be replaced to ensure the malicious code is completely removed. Anti-virus software is not effective at protecting firmware and the BIOS from infection. In 2014, security researchers discovered that devices contain writeable firmware which can be modified with malicious code (dubbed "BadUSB"), which anti-virus software cannot detect or prevent. The malicious code can run undetected on the computer and could even infect the operating system prior to it booting up.


Performance and other drawbacks
Antivirus software has some drawbacks, first of which that it can impact a computer's performance.

Furthermore, inexperienced users can be lulled into a false sense of security when using the computer, considering their computers to be invulnerable, and may have problems understanding the prompts and decisions that antivirus software presents them with. An incorrect decision may lead to a security breach. If the antivirus software employs heuristic detection, it must be fine-tuned to minimize misidentifying harmless software as malicious ().

Antivirus software itself usually runs at the highly trusted kernel level of the to allow it access to all the potential malicious process and files, creating a potential avenue of attack. The US National Security Agency (NSA) and the UK Government Communications Headquarters (GCHQ) intelligence agencies, respectively, have been exploiting anti-virus software to spy on users. Anti-virus software has highly privileged and trusted access to the underlying operating system, which makes it a much more appealing target for remote attacks. Additionally anti-virus software is "years behind security-conscious client-side applications like browsers or document readers. It means that Acrobat Reader, Microsoft Word or Google Chrome are harder to exploit than 90 percent of the anti-virus products out there", according to Joxean Koret, a researcher with Coseinc, a Singapore-based information security consultancy.


Alternative solutions
Antivirus software running on individual computers is the most common method employed of guarding against malware, but it is not the only solution. Other solutions can also be employed by users, including Unified Threat Management (UTM), hardware and network firewalls, antivirus, online scanners, and Content Disarm & Reconstruction (CDR).


Hardware and network firewall
Network firewalls prevent unknown programs and processes from accessing the system. However, they are not antivirus systems and make no attempt to identify or remove anything. They may protect against infection from outside the protected computer or network, and limit the activity of any malicious software which is present by blocking incoming or outgoing requests on certain TCP/IP ports. A firewall is designed to deal with broader system threats that come from network connections into the system and is not an alternative to a virus protection system.


Cloud antivirus
Cloud antivirus is a technology that uses lightweight agent software on the protected computer, while offloading the majority of data analysis to the provider's infrastructure.

One approach to implementing cloud antivirus involves scanning suspicious files using multiple antivirus engines. This approach was proposed by an early implementation of the cloud antivirus concept called CloudAV. CloudAV was designed to send programs or documents to a where multiple antivirus and behavioral detection programs are used simultaneously in order to improve detection rates. Parallel scanning of files using potentially incompatible antivirus scanners is achieved by spawning a virtual machine per detection engine and therefore eliminating any possible issues. CloudAV can also perform "retrospective detection", whereby the cloud detection engine rescans all files in its file access history when a new threat is identified thus improving new threat detection speed. Finally, CloudAV is a solution for effective virus scanning on devices that lack the computing power to perform the scans themselves.

Some examples of cloud anti-virus products are Panda Cloud Antivirus and . has also produced cloud-based anti-virus.


Online scanning
Some antivirus vendors maintain websites with free online scanning capability of the entire computer, critical areas only, local disks, folders or files. Periodic online scanning is a good idea for those that run antivirus applications on their computers because those applications are frequently slow to catch threats. One of the first things that malicious software does in an attack is disable any existing antivirus software and sometimes the only way to know of an attack is by turning to an online resource that is not installed on the infected computer.


Content disarm & reconstruction
Content Disarm & Reconstruction (CDR) technology protects a network from malware by removing components from inbound files which do not rigorously conform with the standards of that file type. It does so by rebuilding the original files without any illegitimate components present. Part of the CDR process may also involve flattening and converting the reconstructed files to (PDF) for maximum safety.

CDR malware removal does not attempt to identify malware behavior before taking action; rather, it employs a zero-trust approach against files entering a network perimeter. This can make it an effective solution for protecting networks against zero-day vulnerabilities.


Specialized tools
Virus removal tools are available to help remove stubborn infections or a certain type of infection. Examples include Windows Malicious Software Removal Tool, Virus Removal Tool, and Scan & Clean. It is also worth noting that sometimes antivirus software can produce a false-positive result, indicating an infection where there is none.

A rescue disk that is bootable, such as a CD or USB storage device, can be used to run antivirus software outside of the installed operating system in order to remove infections while they are dormant. A bootable rescue disk can be useful when, for example, the installed operating system is no longer bootable or has malware that is resisting all attempts to be removed by the installed antivirus software. Examples of software that can be used on a bootable rescue disk include the Rescue Disk, Rescue Disk, and Rescue Disk.


Usage and risks
According to an FBI survey, major businesses lose $12 million annually dealing with virus incidents. A survey by in 2009 found that a third of small to medium-sized business did not use antivirus protection at that time, whereas more than 80% of home users had some kind of antivirus installed. According to a sociological survey conducted by G Data Software in 2010 49% of women did not use any antivirus program at all. Nearly 50% Women Don't Use Anti-virus Software . Spamfighter.com (September 2, 2010). Retrieved on January 3, 2017.


See also
  • Anti-virus and anti-malware software
  • , the Computer Antivirus Research Organization
  • Comparison of antivirus software
  • EICAR, the European Institute for Computer Antivirus Research
  • Endpoint detection and response
  • Firewall software
  • Internet security
  • Quarantine (antivirus program)
  • Sandbox (computer security)
  • Timeline of computer viruses and worms


Citations

General bibliography

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