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  Published Paper Details:

  Paper Title

An Analysis of Computer Virus and Detection Methods Comparison

  Authors

  Chetan N. Rathod,  Bhumika K. Charnanand

  Keywords

Virus, Virus Detection, Signature-Based Virus Detection, Anomaly-Based Detection, Trojan

  Abstract


Large organisations today have to manage big data that is dispersed throughout the globe. A virus is a type of programme that seriously compromises the system. Because of this, security is now a top concern for all businesses. These days, the most valuable resource for anyone is data which requires a variety of maintenance measures to safeguard those assets. Maintaining system security is becoming increasingly difficult as different types of viruses, such as malware, trojans, hackers, and adware, become more and more common. The prevalence of the internet in our daily lives is growing, and with it comes the ever-growing risk of various threats. Different viruses can be caught by different mechanisms, which calls for careful analysis. This paper presents a brief overview of different types of virus detection techniques and the effects they have on the system. This will assist in comprehending the advantages and disadvantages of every virus following the survey. A conclusion and some advice on how to avoid the virus in a sizable virtual world are provided at the end.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT1135554

  Paper ID - 261729

  Page Number(s) - 805-809

  Pubished in - Volume 3 | Issue 1 | January 2015

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Chetan N. Rathod,  Bhumika K. Charnanand,   "An Analysis of Computer Virus and Detection Methods Comparison", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.3, Issue 1, pp.805-809, January 2015, Available at :http://www.ijcrt.org/papers/IJCRT1135554.pdf

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ISSN: 2320-2882
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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