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Enhancing IP blacklist for botnet detection

Citation

Rahim, ASM and Hayat, K and Sher, M and Kim, TH, Enhancing IP blacklist for botnet detection, Information, 14, (10) pp. 3335-3341. ISSN 1343-4500 (2011) [Refereed Article]


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Copyright Statement

Copyright 2011 International Information Institute

Official URL: http://www.information-iii.org/abs_e2.html#No10-20...

Abstract

Comprised computer so called bot obey the order of master. These bots perform malicious activities and group together to form botnet. Different mechanism exists to detect the botnet. IP Blacklist is used for this purpose but it also contains some drawbacks. Some legitimate users become the part of IP blacklist because of spoofed IP address. In this paper we have proposed a certified list to remove legitimate users and overcome the deficiency of IP blacklist. We also measure quality of blacklist by determine the responsiveness and completeness of blacklist.

Item Details

Item Type:Refereed Article
Keywords:botnet, blacklist, malicious data, security, malicious node
Research Division:Information and Computing Sciences
Research Group:Distributed Computing
Research Field:Networking and Communications
Objective Division:Information and Communication Services
Objective Group:Communication Networks and Services
Objective Field:Communication Networks and Services not elsewhere classified
Author:Kim, TH (Dr Tai Kim)
ID Code:82475
Year Published:2011
Deposited By:Information and Communication Technology
Deposited On:2013-02-05
Last Modified:2013-06-12
Downloads:0

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