The New Jersey Institute of Technology's
Electronic Theses & Dissertations Project

Title:	Unified architecture of mobile ad hoc network security (MANS) system
Author:	Ling, Li
View Online:	njit-etd2006-112 (xiv, 124 pages ~ 7.2 MB pdf)
Department:	Department of Electrical and Computer Engineering
Degree:	Doctor of Philosophy
Program:	Electrical Engineering
Document Type:	Dissertation
Advisory Committee:	Manikopoulos, Constantine N. (Committee chair) Zhou, MengChu (Committee member) Rojas-Cessa, Roberto (Committee member) Hu, Jie (Committee member) Statica, Robert (Committee member)
Date:	2006-08
Keywords:	Mobile ad-hoc networks Network security Authentication Intrusion detection
Availability:	Unrestricted
Abstract:	In this dissertation, a unified architecture of Mobile Ad-hoc Network Security (MANS) system is proposed, under which IDS agent, authentication, recovery policy and other policies can be defined formally and explicitly, and are enforced by a uniform architecture. A new authentication model for high-value transactions in cluster-based MANET is also designed in MANS system. This model is motivated by previous works but try to use their beauties and avoid their shortcomings, by using threshold sharing of the certificate signing key within each cluster to distribute the certificate services, and using certificate chain and certificate repository to achieve better scalability, less overhead and better security performance. An Intrusion Detection System is installed in every node, which is responsible for colleting local data from its host node and neighbor nodes within its communication range, pro-processing raw data and periodically broadcasting to its neighborhood, classifying normal or abnormal based on pro-processed data from its host node and neighbor nodes. Security recovery policy in ad hoc networks is the procedure of making a global decision according to messages received from distributed IDS and restore to operational health the whole system if any user or host that conducts the inappropriate, incorrect, or anomalous activities that threaten the connectivity or reliability of the networks and the authenticity of the data traffic in the networks. Finally, quantitative risk assessment model is proposed to numerically evaluate MANS security.