A game-theoretical approach to incentive design in collaborative intrusion detection network
GameNets'09 Proceedings of the First ICST international conference on Game Theory for Networks
A new agent based security framework for collaborative cloud environment
Proceedings of the Seventh Annual Workshop on Cyber Security and Information Intelligence Research
TIDS: trust-based intrusion detection system for wireless ad-hoc networks
CISIM'12 Proceedings of the 11th IFIP TC 8 international conference on Computer Information Systems and Industrial Management
Game theory meets network security and privacy
ACM Computing Surveys (CSUR)
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In this paper, a new Honest-rate base collaborative Intrusion Detection System (HIDS) has been proposed for mobile, ad-hoc networks. The method uses promiscuous mode of working along with rating and collaborative decision making based on multiple threshold values. All nodes join the network with an initial value of 1 for an honesty rate index, termed as h-rate. The h-rate of a node dynamically increases or decreases depending on its behavior. A node is rewarded when it forwards packets for other nodes. It is penalized when it does some malicious act like dropping packets, etc. The h-rate for a node NX is recomputed based on its current h-rate, and the rewards or penalty points that it has accrued. The proposed rule-based scheme reduces the h-rate of a node gradually, if it behaves abnormally. This provides an inherent mechanism against phantom intrusion detection. The h-rate may also be used for secure routing in MANET.