DocumentCode
3159705
Title
An Agent Based Security Framework for Protecting Routing Layer Operations in MANET
Author
Jaisankar, N. ; Saravanan, R. ; Swamy, K. Durai
Author_Institution
Sch. of Comput. Sci. & Eng., VIT Univ., Vellore, India
fYear
2009
fDate
27-29 Dec. 2009
Firstpage
381
Lastpage
385
Abstract
In mobile ad hoc networks the nodes are dynamically changing and they have a fully decentralized topology. Hence, security is hard to achieve due to the dynamic nature of the relationships between the participating nodes as well as the vulnerabilities and limitations of the wireless transmissions medium. We proposed a novel agent based framework to monitor, detect, and isolate misbehaving nodes in the MANET. The proposed framework protect both routing and data forwarding operations, which aiming at improving the efficiency in detecting and isolating misbehaving nodes with a minimum overhead. In this paper local neighboring nodes collaboratively monitor each other. A novel honesty rate strategy is introduced in each node to determine the well-behaving nodes. We evaluate through network simulations the effectiveness of the framework in detecting malicious nodes and improving the network performance.
Keywords
ad hoc networks; mobile communication; object-oriented programming; performance evaluation; telecommunication network topology; telecommunication security; MANET; agent based security framework; data forwarding; decentralized topology; mobile ad hoc networks; network performance; routing layer operations protection; Ad hoc networks; Communication system security; Data security; Mobile ad hoc networks; Mobile agents; Monitoring; Network topology; Protection; Routing protocols; Spread spectrum communication; honesty rate; malicious nodes; mobile ad hoc network; mobile agents; network-layer security; packet forwarding; public key; routing; routing protocols;
fLanguage
English
Publisher
ieee
Conference_Titel
Networks and Communications, 2009. NETCOM '09. First International Conference on
Conference_Location
Chennai
Print_ISBN
978-1-4244-5364-1
Electronic_ISBN
978-0-7695-3924-9
Type
conf
DOI
10.1109/NetCoM.2009.64
Filename
5383976
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