Cooperation monitoring issues in ad hoc networks
Proceedings of the 2006 international conference on Wireless communications and mobile computing
Featuring trust and reputation management systems for constrained hardware devices
Proceedings of the 1st international conference on Autonomic computing and communication systems
Subjective logic based trust model for mobile ad hoc networks
Proceedings of the 4th international conference on Security and privacy in communication netowrks
A trust model based on fuzzy recommendation for mobile ad-hoc networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Proceedings of the 2009 International Conference on Hybrid Information Technology
Reliable and energy-efficient routing in mobile ad hoc networks
ICOIN'09 Proceedings of the 23rd international conference on Information Networking
A trust-based routing framework in energy-constrained wireless sensor networks
WASA'06 Proceedings of the First international conference on Wireless Algorithms, Systems, and Applications
Trustpert: a reputation model for collaboration in MANETs using fuzzy expert systems
Proceedings of the Second Kuwait Conference on e-Services and e-Systems
| Hi-index | 0.00 |
The main characterisrics of ad hoc networks are the lack of predefined infrastructure and the dynamic topology. These characteristics present some new security vulnerabilities for this emerging networking paradigm. Usually, security in ad hoc networks is handled through authentication and encryption. This can be considered as a first line of defense, however, this remain inefficient against some other kind of attacks such as malicious packet dropping. The purpose of this work is to provide a mechanism for detecting malicious incorrect packet forwarding attacks. To this end, a trust model extending routing protocols and based on the reputation concept is developed. Our model provides two main functionalities: monitoring the behavior of the neighboring nodes in the network and computing their reputations based on the information provided by the monitoring. This paper also discusses how the reputation information is gathered, stored and exchanged between the nodes, and computed according to the different scenarios. Our mechanism is also validated with some simulation work showing its feasibility, performance and benefits.