antivirus data driven event triggering for iot for applications

R. Saranya. ,T. Saranya

Published in International Journal of Advanced Research in Computer Science Engineering and Information Technology

ISSN: 2321-3337          Impact Factor:1.521         Volume:6         Issue:3         Year: 02 May,2019         Pages:1410-1419

International Journal of Advanced Research in Computer Science Engineering and Information Technology

Abstract

The problem of spam or Unsolicited Bulk Email (UBE) is becoming a pressing issue. In spite of the development of many anti-spam techniques, the war against spam is far from being successful. This is partly due to several characteristics of spam that make it a difficult problem. E-MAIL communication is prevalent and indispensable nowadays. However, the threat of unsolicited junk emails, also known as spams, becomes more and more serious. The primary challenge of spam detection problem lies in the fact that spammers will always find new ways to attack spam filters owing to the economic benefits of sending spams. Note that existing filters generally perform well when dealing with clumsy spams, which have duplicate content with suspicious keywords or are sent from an identical notorious server. Therefore, the next stage of spam detection research should focus on coping with cunning spams which evolve naturally and continuously.

Kewords

iot ,antivirus

Reference

[1] Leonard Adleman. An abstract theory of computer viruses. In Lecture Notes in Computer Science, vol 403. Springer-Verlag, 2018. [2] M. Stamp, “Information Security: Principles and Practice,” August 2005. [3] Fred Cohen. Computer Viruses. PhD thesis, University of Southern California, 2017. [4] Peter J. Denning, editor. Computers Under Attack: Intruders, Worms and Viruses. ACMPress (Addison-Wesley), 1990. [5] Christopher V. Feudo. The Computer VirusDesk Reference. Business One Irwin, Homewood, IL, 2015.