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A Study on Hazards of Computer Viruses

Computer use is becoming part of our lives every other day however there have been considerable threats of computer viruses in the recent past. Viruses have had adverse effects on data and programs ranging from formatting hard disks, damaging information infrastructure, suddenly restarting machines, deleting or modifying data and in some cases mild effects such as slowing down machines or producing irritating sounds. Viruses have been a major cause for worry especially with the advances in data processing, storage and movement of information technologically. Many computer users and organizations especially the computer intensive organizations have had to invest heavily in dealing with viruses particularly those organizations running the windows platform. These computer viruses have been defined by their characteristics of entry and multiplication without the user’s notice as well as diverting the normal functioning of the computer. This paper seeks to define a virus and explain its related terms such as malicious software, worms, and Trojan horses. It explains vulnerabilities of operating systems in relation to viruses, it makes an observation on strengths of Linux versus Windows, outline the present state of affairs, apart from using anti-virus software, there are other procedures which can help protect against viruses which are also mentioned, the future of computer viruses and the conclusion that the Internet is serving its purpose of interconnecting computer and hence promoting distribution of viruses then makes some recommendations on viruses.

Comparison, Analysis and Analogy of Biological and Computer Viruses

Correlation of biological and computer viruses through evolutionary game theory, pemodelan matematika terhadap penyebaran virus komputer dengan probabilitas kekebalan.

The increase in the number of computer viruses can be modeled with a mathematical model of the spread of SEIR type of diseases with immunity probability. This study aims to model the pattern of the spread of computer viruses. The method used in this research is the analytical method with the probability of mathematical immunity. Based on the analysis of the model, two equilibrium points free from disease E1 and endemic equilibrium points E2 were obtained. The existence and local stability of the equilibrium point depends on the basic reproduction number R0. Equilibrium points E1 and E2 tend to be locally stable because R0<1 which means there is no spread of disease. While the numerical simulation results shown that the size of the probability of immunity will affect compartment R and the minimum size of a new computer and the spread of computer viruses will affect compartments S and E on the graph of the simulation results. The conclusion obtained by the immune model SEIR successfully shows that increasing the probability of immunity significantly affects the increase in the number of computer hygiene after being exposed to a virus.

Predicting Spread Probability of Learning-Effect Computer Virus

With the rapid development of network technology, computer viruses have developed at a fast pace. The threat of computer viruses persists because of the constant demand for computers and networks. When a computer virus infects a facility, the virus seeks to invade other facilities in the network by exploiting the convenience of the network protocol and the high connectivity of the network. Hence, there is an increasing need for accurate calculation of the probability of computer-virus-infected areas for developing corresponding strategies, for example, based on the possible virus-infected areas, to interrupt the relevant connections between the uninfected and infected computers in time. The spread of the computer virus forms a scale-free network whose node degree follows the power rule. A novel algorithm based on the binary-addition tree algorithm (BAT) is proposed to effectively predict the spread of computer viruses. The proposed BAT utilizes the probability derived from PageRank from the scale-free network together with the consideration of state vectors with both the temporal and learning effects. The performance of the proposed algorithm was verified via numerous experiments.

EVOLUTION OF COMPUTER VIRUSES

The dynamical analysis of computer viruses model with age structure and delay.

This paper deals with the dynamical behaviors for a computer viruses model with age structure, where the loss of the acquired immunity and delay are incorporated. Through some rigorous analyses, an explicit formula for the basic reproduction number of the model is calculated, and some results about stability and instability of equilibria for the model are established. These findings show that the age structure and delay can produce Hopf bifurcation for the computer viruses model. The numerical examples are executed to validate the theoretical results.

A Fractional SAIDR Model in the Frame of Atangana–Baleanu Derivative

It is possible to produce mobile phone worms, which are computer viruses with the ability to command the running of cell phones by taking advantage of their flaws, to be transmitted from one device to the other with increasing numbers. In our day, one of the services to gain currency for circulating these malignant worms is SMS. The distinctions of computers from mobile devices render the existing propagation models of computer worms unable to start operating instantaneously in the mobile network, and this is particularly valid for the SMS framework. The susceptible–affected–infectious–suspended–recovered model with a classical derivative (abbreviated as SAIDR) was coined by Xiao et al., (2017) in order to correctly estimate the spread of worms by means of SMS. This study is the first to implement an Atangana–Baleanu (AB) derivative in association with the fractional SAIDR model, depending upon the SAIDR model. The existence and uniqueness of the drinking model solutions together with the stability analysis are shown through the Banach fixed point theorem. The special solution of the model is investigated using the Laplace transformation and then we present a set of numeric graphics by varying the fractional-order θ with the intention of showing the effectiveness of the fractional derivative.

Information Technology Act 2000 and the Potential Use of Data Analytics in Reducing Cybercrime in India

Cybercrime is increasing rapidly in this digitized world. Be it business, education, shopping, or banking transactions, everything is on cyberspace. Cybercrime covers a wide range of different attacks such as financial cybercrime, spreading computer viruses or malware, internet fraud, pornography cybercrime, intellectual property rights violation, etc. Due to increased cyber-attacks these days, the online users must be aware of these kinds of attacks and need to be cautious with their data online. Each country has their own laws for dealing with cybercrime. The different measures taken by the government of India to combat cybercrime are explained in this chapter. How the potential use of data analytics can help in reducing cybercrime in India is also explained.

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Computer viruses: What they are, how they work, how they might get you, and how to control them in academic institutions

• Session XIII Tutorial: Computer Viruses
• Published: March 1989
• Volume 21 , pages 334–340, ( 1989 )

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• Walter Schneider 1  

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A computer virus is a program that replicates itself and spreads to computers with the goal of disrupting or destroying normal computer use. In academic computing, viruses represent a serious problem that costs millions of dollars in losses annually and hinders the free exchange of information so critical to education. Viruses operate in incubation, infection, and destroy phases. The nature, mechanisms, and preventive measures for personal-computer viruses are reviewed. Different procedures are recommended to protect research laboratories, instructional laboratories, and software lending libraries. Tradeoffs between providing adequate protection and not having the security become too burdensome are considered.

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Immune Systems in Computer Virology

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Computer Security Institute . (1988). A manager’s guide to computer viruses . Northborough, MA: Author.

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Duncan, R. (Ed.). (1988). The MS-DOS encyclopedia . Redmond, WA: Microsoft Press.

Roberts, R. (1988). Computers computer viruses . Radnor, PA: Compute! Publishing.

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Learning Research and Development Center, University of Pittsburgh, 3939 O’Hara St., 15260, Pittsburgh, PA

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This work was supported in part by Office of Naval Research Contracts N00014-87-K-0397 and N00014-86-K-0678 and Army Research Institute Contract MDA903-86-C-0149.

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Schneider, W. Computer viruses: What they are, how they work, how they might get you, and how to control them in academic institutions. Behavior Research Methods, Instruments, & Computers 21 , 334–340 (1989). https://doi.org/10.3758/BF03205604

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Computer Science > Cryptography and Security

Title: computer viruses: the abstract theory revisited.

Abstract: Identifying new viral threats, and developing long term defences against current and future computer viruses, requires an understanding of their behaviour, structure and capabilities. This paper aims to advance this understanding by further developing the abstract theory of computer viruses. A method of providing abstract definitions for classes of viruses is presented in this paper, which addresses inadequacies of previous techniques. Formal definitions for some classes of viruses are then provided, which correspond to existing informal definitions. To relate the abstract theory to the real world, the connection between the abstract definitions and concrete virus implementations is examined. The use of the proposed method in studying the fundamental properties of computer viruses is discussed.

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Library Hi Tech News

ISSN : 0741-9058

Article publication date: 14 September 2012

The purpose of this paper is to discuss various types of computer viruses, along with their characteristics, working, effects on the computer systems and to suggest measures for detecting the virus infection in a computer system and to elaborate means of prevention.

Design/methodology/approach

The author undertook an extensive study and review of the literature available online and on relevant web sites on the present topic.

A large number of viruses were found during the study, which are causing serious damages to computer systems. The author suggests ways to detect and prevent the different computer viruses.

Research limitations/implications

The research is based on and limited to the study of the relevant literature available on different relevant web sites.

Practical implications

The research will benefit business organizations, business houses, educational institutions and libraries working in fully computerized environments, in detection of viruses and preventing infection of their computer systems.

Social implications

The society will also benefit by attaining knowledge about the different types of computer viruses and the measures of prevention of infection.

Originality/value

There are a number of studies and articles available on the topic but almost all of them appear to be incomplete in the sense that either they discuss only a limited number of known viruses or suggest only limited ways of prevention. The paper has made an attempt to discuss almost all the computer viruses and every possible way of prevention of infection from them.

• Computer viruses
• Data security
• Computer security
• Information security
• Security measures

Khan, I. (2012), "An introduction to computer viruses: problems and solutions", Library Hi Tech News , Vol. 29 No. 7, pp. 8-12. https://doi.org/10.1108/07419051211280036

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Copyright © 2012, Emerald Group Publishing Limited

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Optogenetics, the Big Revolution in Brain Study

Intellectual abilities of artificial intelligence, openmind books, scientific anniversaries, edward o. wilson and island biodiversity, featured author, latest book, the history of computer viruses.

On November 10, 1983, a handful of seminar attendees at Lehigh University, Pennsylvania, USA, heard for the first time the term “virus” applied to computing. The use of the word was strange. The virus that was then on everyone’s mind was the one isolated a few months earlier at the Pasteur Institute in Paris that could be the cause of a new disease called AIDS. In the digital world, talking about viruses was almost nonsense. The first PC had been launched on the market just two years earlier and only the most technologically informed were running an Apple II computer or one of its early competitors.

However, when on that day the graduate student from the University of Southern California Fred Cohen inserted a diskette into a VAX11/750 mainframe computer, the attendees noted how code hidden in a Unix program installed itself and took control in a few minutes , replicating and spreading to other connected machines, similar to a biological virus.

Cohen tells OpenMind that it was on November 3 when a conversation with his supervisor, Leonard Adleman, led to the idea of ​​giving the name of virus to that code capable of infecting a network of connected computers. The Cohen virus was simple: “The code for reproduction was perhaps a few lines and took a few minutes to write,” says the author. “The instrumentation and controls took almost a day.”

Cohen published his creation in 1984, in an article that began: “This paper defines a major computer security problem called a virus.” But though the extensive research of Cohen and Adleman in the specialized literature would draw attention to their existence, the truth is that before that first virus defined as such appeared, there had already been earlier cases.

Interactive timeline: A malware history

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Catch me if you can

In 1971, Robert Thomas, from the company BBN, created Creeper , a program that moved between computers connected to ARPANET and that displayed the message “I’m the creeper: catch me if you can.” According to David Harley, IT security consultant and researcher for the ESET company, “in the research community, we usually consider the experimental program Creeper to be the first virus and/or worm.”

Moreover, a year before Cohen’s seminar, 15-year-old Rich Skrenta developed Elk Cloner, the first computer virus—not named that yet—that spread outside a laboratory. Skrenta created it as a joke for his friends, whose Apple II computers became infected by inserting a diskette with a game that hid the virus.

So, Cohen was not really the first one. But according what computer security expert Robert Slade explains to OpenMind, the special thing in Cohen’s case was not so much his programming as his method. “He was doing the original academic research on the concept; his structure of antiviral software is still comprehensive despite all the developments since.” Cohen also introduced an informal definition of virus: “a program that can infect other programs by modifying them to include a, possibly evolved, version of itself.”

Those first viruses were technological demonstrations. The motivation of their creators was research and their codes were not malicious. Cohen points out that the objective of his program was “to measure spread time, not to attack.” In the case of Creeper , it was about designing a mobile application that could move to the machine where the data resided, instead of going the other way. As the professor of Computer Science at the University of Calgary (Canada) John Aycock points out to OpenMind, computer viruses were born as “a natural product of human curiosity.” And as such, “their invention was inevitable.”

The first malicious codes

It was also inevitable that the first malicious codes would soon emerge. In 1986, Brain appeared, a virus created by two Pakistani brothers whose purpose was to punish the users of IBM computers who installed a pirated copy of software developed by them. However, the effects of Brain were slight and the virus included the contact information of its authors so that those affected could contact them and request a cure. Spread by means of diskettes, Brain reached international diffusion, giving rise to the birth of the first antivirus companies.

At the end of the 1980s, codes began to proliferate that erased data or disabled systems. In 1988, the worm created by Robert Morris infected many of the computers connected to the then nascent Internet, especially in research institutions, causing a drop in email services. Its effects were more damaging than anticipated by Morris himself, who became the first person to be prosecuted in the US under the Computer Fraud and Abuse Act of 1986.

In this way, so-called malware began to diversify into different families: worms are programs that move from one computer to another without hiding in another application, while Trojans are harmful programs with an innocent appearance. In 1995, WM/Concept appeared, which infected Word documents. “It opened the door for a plague of document-borne malware that dominated the threat landscape for several years after,” says Harley. The expert lists other typologies that have emerged over time, such as bots that manipulate other people’s systems to launch spam campaigns, send malware or denial of service attacks; or ransomware , codes that hijack a system and force the payment of a ransom, such as the recent case of WannaCry , which in May 2017 infected hundreds of thousands of computers in more than 150 countries.

To this threat landscape we must add the current media, such as social networks, which facilitate the expansion of malware. As explained to OpenMind by Jussi Parikka, expert in technological culture at the Winchester School of Art of the University of Southampton (United Kingdom) and author of Digital Contagions: A Media Archeology of Computer Viruses (2nd ed., Peter Lang Publishing, 2016), “the online platforms for communication and interaction are themselves part of the problem due to their various security issues.”

But despite the many headaches caused by the malware, experts point out that these developments can benefit other technologies. Cohen argues that “benevolent” viruses can, for example, be useful in maintaining and updating systems. “I think artificial life (reproducing programs) still have enormous potential, largely unrealized as of today,” he reflects. “History will tell, but I still hold hope that viral computation will be a benefit to humanity in the future.”

Javier Yanes

More publications related to this article, more about technology, artificial intelligence, digital world, visionaries, more publications about ventana al conocimiento (knowledge window), comments on this publication.

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