You are in:Home/Publications/AIS MODEL FOR BOTNET DETECTION IN MANET USING FUZZY FUNCTION

Prof. Mohamed Abd El-Fattah Mohamed Hamed Awad :: Publications:

Title:
AIS MODEL FOR BOTNET DETECTION IN MANET USING FUZZY FUNCTION
Authors: I.M.HANAFY1, A.A.SALAMA1, M. ABDELFATTAH2 & Y. M. WAZERY
Year: 2013
Keywords: Not Available
Journal: Not Available
Volume: Not Available
Issue: Not Available
Pages: Not Available
Publisher: Not Available
Local/International: International
Paper Link:
Full paper Not Available
Supplementary materials Not Available
Abstract:

Mobile adhoc networks (MANETs) poses a large area of challenges in the field of security, this is due to the lake of infrastructure and the continuous changing in the network topology. Botnets are believed to be the most harmful danger that threatens any type of networks; because it controls the units in a non noticeable manner so detection of botnets is more difficult . in this paper the Artificial Immune System (AIS) is used as the defense system to the MANET to face botnets. Experimental results show that the use of fuzzy based security can enhance the security of AIS in MANETs

Google ScholarAcdemia.eduResearch GateLinkedinFacebookTwitterGoogle PlusYoutubeWordpressInstagramMendeleyZoteroEvernoteORCIDScopus