DocumentCode
3589352
Title
A review on taxonomy of botnet detection
Author
Panimalar, P. ; Rameshkumar, K.
Author_Institution
R&D Centre, Bharathiar Univ., Coimbatore, India
fYear
2014
Firstpage
1
Lastpage
4
Abstract
Malicious software, `malware`, has acquired an important position in modern high-tech life. There are several malware like virus, worms, trojan horses, root kit forms regularly attacking the networks particularly on internet to steal the information. Apart from these threats botnet is one of the widespread and serious threats, which occurs commonly in today´s cyber attacks. The botnet detection has been a major research topic in recent years. This paper clarifies about botnet phenomenon, some of the botnet detection and overview of an extensible fuzzy pattern recognition-based filtering algorithm for botnet detection.
Keywords
filtering theory; invasive software; pattern recognition; botnet detection taxonomy; extensible fuzzy pattern recognition; filtering algorithm; malicious software; malware; Computer crime; Computers; Conferences; IP networks; Malware; Pattern recognition; Attacks; Botnet; Command and Control (C&C); Fuzzy Pattern Recognition-based Filtering (FPRF); Malware;
fLanguage
English
Publisher
ieee
Conference_Titel
Advances in Engineering and Technology (ICAET), 2014 International Conference on
Type
conf
DOI
10.1109/ICAET.2014.7105225
Filename
7105225
Link To Document