Abstract
Due to the lack of a centralized management, mobile ad hoc networks (MANETs) are prone to various types of attacks. Trust management systems has been proposed to allow such networks to identify misbehaving nodes, enforce their collaboration in network functions. However, the trust management can be challenged by unique characteristics of MANETs in terms of absence of centralized management, severe resource constraints, important network dynamics. Mainly, trust-distortion attacks may attempt to deceive nodes 'estimation on other nodes' trustworthiness by generating dishonest recommendations or fulfilling double-face conducts. Besides, the energy devoted to establish the trust system may be important, reducing the network lifetime, producing environmental pollution. In this paper, we propose a green trust management scheme, called GTMS, capable to handle different trust-distortion attacks in a multi-attack environment, with minimum energy consumption. To achieve this, GTMS reinforces the knowledge of nodes on their neighborhood to inhibit trust-distortion attacks. Moreover, it self-adapts the frequency of its local, remote knowledge monitoring according to the network context to minimize energy consumption. GTMS is characterized by its energy efficiency, high quality of knowledge, resistance to trust-distortion attacks, protocol independence, self-adaptation, low computational intensiveness. Simulation results prove that GTMS significantly outperforms the existing alternatives in the literature in presence of simultaneous, contradictory different trust-distortion attacks.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.