
Detection and differentiation of application layer DDoS attack from flash events using fuzzy‐GA computation
Author(s) -
Singh Khundrakpam Johnson,
Thongam Khelchandra,
De Tanmay
Publication year - 2018
Publication title -
iet information security
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.308
H-Index - 34
eISSN - 1751-8717
pISSN - 1751-8709
DOI - 10.1049/iet-ifs.2017.0500
Subject(s) - denial of service attack , application layer ddos attack , computer science , network packet , header , application layer , unavailability , fuzzy logic , computer network , packet drop attack , server , data mining , the internet , routing protocol , artificial intelligence , mathematics , operating system , statistics , world wide web , software deployment , link state routing protocol
Distributed Denial-of-Service (DDoS) attacks are serious threats in the data center application, mainly affecting the web server. Even though there are various techniques to detect and mitigate such attacks so far they fail to meet in the case of application layer attack and Flash Events (FE). In the paper, we aim at detecting application layer DDoS attacks and distinguish it from FE. We have cons...