%0 Conference Proceedings
%T A Novel Approach Towards Analysis of Attacker Behavior in DDoS Attacks
%+ Birla Institute of Technology and Science (BITS Pilani)
%A Gupta, Himanshu
%A Kulkarni, Tanmay, Girish
%A Kumar, Lov
%A Murthy, Neti
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 2nd International Conference on Machine Learning for Networking (MLN)
%C Paris, France
%Y Selma Boumerdassi
%Y Éric Renault
%Y Paul Mühlethaler
%I Springer International Publishing
%3 Machine Learning for Networking
%V LNCS-12081
%P 392-402
%8 2019-12-03
%D 2019
%R 10.1007/978-3-030-45778-5_27
%K Distributed denial of service attacks
%K Honey pot
%K Machine learning
%K Clustering algorithms
%K Attacker profiling
%Z Computer Science [cs]
%Z Computer Science [cs]/Networking and Internet Architecture [cs.NI]Conference papers
%X Traditionally, research in Network Security has largely focused on Intrusion Detection and the use of Machine Learning techniques towards identifying malicious agents as well as work on methods towards protecting ourselves from such attacks. In this paper, we wish to make use of the same techniques to analyze the profile of the attacker in the case of a DDoS attack on a distributed honeypot.
%G English
%Z TC 6
%2 https://inria.hal.science/hal-03266457/document
%2 https://inria.hal.science/hal-03266457/file/487577_1_En_27_Chapter.pdf
%L hal-03266457
%U https://inria.hal.science/hal-03266457
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC6
%~ IFIP-LNCS-12081
%~ IFIP-MLN