THE BENCHMARKING MODEL FOR IDEAL ANTIVIRUS SOFTWARE FOR ALL USERS
DOI:
https://doi.org/10.53555/eijse.v2i4.6Keywords:
Network, Virus, Security threats, Attack of computer Virus, Antivirus softwareAbstract
A computer virus is software intentionally written to copy itself without the computer owner’s permission and then perform some other action on any system where it resides. Now a days, viruses are being written for almost every computing platform Antivirus protection is, or should be, an integral part of any Information Systems operation, be it personal or professional. There are number of computer virus are created and these computer virus are affected in day today life. The large number of Antivirus software available in the market and some are being launched, each one of them offers new features for detecting and eradicating viruses and malware. People frequently change their Antivirus software according to their liking and needs without evaluating the performance and capabilities of the various Antivirus software available. This research paper highlights the basic concepts of computer viruses and antivirus software. And also suggest the benchmarking model for ideal antivirus software for all types of user.
References
. Paul Mobbs, Computer Viruses, Association for Progressive Communications, March 2002.
. Jacob M. Rutledge, Research report Virus, 2010.
. Chuck Hauge, Anatomy of Computer Viruses CPH Solutions 2006.
. Paul, Sophos Plc, Computer Virus Demystified. PDF, ISBN 0-9538336-0-7.
. Thomas M. Chen, Trends in Viruses and Worms, The Internet Protocol Journal, 23-33.
. Kiran Karki, Malik H Muzaffar, Virus and Antivirus.
. Francesco Gennai, Marina Buzzi, Computer viruses and electronic mail.
. Matt Bishop, An overview of computer virus in research environment, Technical Report PHC- TR91 156.
. Robin Sharp, An Introduction to Malware, Spring 2011.
. Pele Li, Mehdi Salour, And Xiao Su, San, A Survey Of Internetworm Detection And Containment, Ieee Communications, The Electronic Magazine Of Orig inal Peer-Reviewed Survey Articles, 1st Quarter 2008, Volume 10, No. 1.
. Bharath Madhusudan, John Lockwood Design of a System for Real-Time Worm Detection, Applied Research Laboratory, 2005.
. Ruiqi Hu and Aloysius K. Mok, Detecting Unknown Massive Mailing Viruses Using Proactive Methods, UTCS Technical Report RTS-TR-04-0, 2004.
. Lap Fan Lam, E-mail Viruses Detection: Detect Email virus by network traffic, Thesis in TCC402, 2002.
. Protecting Your Computer and Your Identity, Security Awareness, Office of Enterprise Security Dept. of Information Technology, 2007.
. K. Lai, D. Wren, T. Rowling, Consumer Antivirus Performance Benchmarks
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