DocumentCode :
3306335
Title :
Understanding Botnet: From Mathematical Modelling to Integrated Detection and Mitigation Framework
Author :
Yong, Wang ; Tefera, Solomon Haile ; Beshah, Yonas Kibret
Author_Institution :
Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear :
2012
fDate :
8-10 Aug. 2012
Firstpage :
63
Lastpage :
70
Abstract :
No one is absolutely sure about cyber security as long as a communication system is connected to the internet, since internet is a wild that comprises all kind of people around the world from white hat to black hat. In other words, virtually any Internet connected system is vulnerable to major outrages from receiving a spam email to a botnet originated DDOS attack. But every individual, company and government wants to make sure that the security of their system is dependable so that they can use the outmost benefits of the twenty first century information society advantage. Since the problem is inevitable it very critical to understand the properties of this nefarious attacking machines from different perspective. In this paper we have developed a mathematical model to scrutinize the favouring and hindering factors for botnet propagation and growth. In addition we have proposed a detection and mitigation framework based on the model we developed.
Keywords :
Internet; invasive software; software agents; unsolicited e-mail; DDOS attack; Internet connected system; botnet propagation; communication system; cyber security; integrated detection framework; integrated mitigation framework; malware; mathematical modelling; spam email; Computational modeling; Malware; Mathematical model; Sensors; Sociology; Statistics; Botnet; Botnet Detection Framework; Botnet Modelling; Net Flow Analysis; SIRS Model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering, Artificial Intelligence, Networking and Parallel & Distributed Computing (SNPD), 2012 13th ACIS International Conference on
Conference_Location :
Kyoto
Print_ISBN :
978-1-4673-2120-4
Type :
conf
DOI :
10.1109/SNPD.2012.78
Filename :
6299259
Link To Document :
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