Artificial Neural Network To Detect Know And Unknown DDOS Attack

Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2017, Vol 19, Issue 2

Abstract

The key objective of Disturbed Denial of Service (DdoS) attack is to compile multiple systems across the internet with the infected zombies/agents and form the botnets of network. The infected systems are remotely controlled by an attacker that is programmed to launch packet flood. Within this context the purpose of this paper is to detect known and unknown DdoS attack. It can also detect DdoS attack from genuine traffic and also the encrypted packets are detected.

Authors and Affiliations

Dr. D. Karunkuzhali, G. Aishwarya,, S. Eliza Paulin, A. Meena

Keywords

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  • EP ID EP384369
  • DOI 10.9790/0661-1902025661
  • Views 95
  • Downloads 0

How To Cite

Dr. D. Karunkuzhali, G. Aishwarya, , S. Eliza Paulin, A. Meena (2017). Artificial Neural Network To Detect Know And Unknown DDOS Attack. IOSR Journals (IOSR Journal of Computer Engineering), 19(2), 56-61. https://europub.co.uk/articles/-A-384369