Work place: Karpagam College of Engineering,Coimbatore,India

E-mail: ushag2@gmail.com


Research Interests: Artificial Intelligence, Computational Game Theory, Information Theory, Theory of Computation


Dr.G.Usha completed her PhD in Anna University Chennai. Currently she is working as Associate Professor in Karpagam College of Engineering Coimbatore. She obtained her PG from Anna University Chennai. She completed her UG in Anna University Chennai. She is a GATE scorer .She had seven year of working experience in Anna University Chennai. Her area of research includes wireless security, Artificial Intelligence, Game theory, Graph theory and so on.

Author Articles
Machine Learning Cross Layer Technique to Detect Sink Hole Attacks in MANET

By G.Usha K.Mahalakshmi

DOI: https://doi.org/10.5815/ijmecs.2016.07.07, Pub. Date: 8 Jul. 2016

Adhoc networks uses mobile nodes to communicate among itself in which it does not have any fixed infrastructure like access point or base station. Due to dynamic network topology MANET security is a challenging task. Most of the routing protocols in MANET assumes a cooperative environment for communication. But, in the presence of malicious nodes, providing security to MANET is critical issue. Due to the increasing applications of MANET building an effective intrusion detection system are essential. This paper addresses using an intelligent approach for intrusion detection in MANET using cross layer technique. We show an paradigm of SVMs, FDAs and AIS approaches for intrusion detection in terms of classification accuracy.

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