Benha University

محمد عبد الفتاح محمد حامد عوض

أستاذ

كلية الحاسبات والذكاء الاصطناعي نظم المعلومات

AIS MODEL FOR BOTNET DETECTION IN MANET USING FUZZY FUNCTION

• 2013
العودة
معلومات البحث
المؤلفون I.M.HANAFY1, A.A.SALAMA1, M. ABDELFATTAH2 & Y. M. WAZERY
الكلمات المفتاحية Not Available
المجلة العلمية Not Available
الناشر Not Available
المجلد Not Available
العدد Not Available
الصفحات Not Available
publication.type International
رابط البحث Open Link
المواد المرفقة Not Available
الملخص
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
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