DocumentCode :
1735284
Title :
Distributed Node Selection for Threshold Key Management with Intrusion Detection in Mobile Ad Hoc Networks
Author :
Yu, F. Richard ; Tang, Helen ; Wang, Fei ; Leung, Victor C M
Author_Institution :
Dept. of Syst. & Comput. Eng., Carleton Univ., Ottawa, ON, Canada
Volume :
2
fYear :
2009
Firstpage :
787
Lastpage :
794
Abstract :
In mobile ad hoc networks (MANETs), identity (ID)-based cryptography with threshold secret sharing is a popular approach for the key management design. Most previous work for key management in MANETs concentrates on the protocols and structures. How to optimally conduct node selection in ID-based cryptography with threshold secret sharing merits further investigation. In this paper, we propose a distributed scheme to dynamically select nodes with master key shares to provide the private key generation service. The proposed scheme considers the node security and energy states in the process of selecting best nodes to construct a private key generator (PKG). Intrusion detection systems are modeled as noisy sensors to monitor the system security situations. The node selection process is formulated as a stochastic optimization problem. Simulation results are presented to illustrate the effectiveness of the proposed scheme.
Keywords :
ad hoc networks; computer network management; cryptographic protocols; mobile computing; private key cryptography; distributed node selection; identity-based cryptography; intrusion detection; mobile ad hoc networks; node selection process; private key generation service; private key generator; protocols; stochastic optimization as problem; threshold key management; Cryptographic protocols; Cryptography; Energy states; Identity management systems; Identity-based encryption; Intrusion detection; Mobile ad hoc networks; Monitoring; Security; Sensor systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Science and Engineering, 2009. CSE '09. International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4244-5334-4
Electronic_ISBN :
978-0-7695-3823-5
Type :
conf
DOI :
10.1109/CSE.2009.138
Filename :
5283067
Link To Document :
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