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Trust-Based SAODV Protocol with Intrusion Detection, Trust Management and Incentive Cooperation in MANETs

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  • Floriano De Rango

    (University of Calabria, Rende, Italy)

Abstract

Distributed wireless systems present many security issues, and offering security preserving network resources is often a challenging effort. Offering security through only cryptography is not always a suitable solution if the high dynamic context of MANET is considered and the trust mechanism that reduces the computationally intensive number of security operations becomes strategic. In this work, a well-known routing protocol, called SAODV, has been considered. To improve its performance and offer more resilience to attack from malicious nodes authenticated by the network, some additional features are added. A preventive approach based on a cryptographic mechanism and a reactive approach to detect anomalous and malicious nodes are considered. An extension of SAODV offering an Intrusion Detection Mechanism (IDM) and a Trust-based Mechanism (TBM) to promote the collaboration of the cooperating nodes and penalize the selfish nodes are proposed. Simulation results were performed under a NS-2 simulator to show the effectiveness of our proposal compared with AODV and SAODV. Simulation parameters, such as Normalized Routing Overhead, Data Packet Delivery Ratio, average number of signatures and throughput of collaborating and malicious nodes, have been considered.

Suggested Citation

  • Floriano De Rango, 2009. "Trust-Based SAODV Protocol with Intrusion Detection, Trust Management and Incentive Cooperation in MANETs," International Journal of Interdisciplinary Telecommunications and Networking (IJITN), IGI Global, vol. 1(4), pages 54-70, October.
  • Handle: RePEc:igg:jitn00:v:1:y:2009:i:4:p:54-70
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    Cited by:

    1. Mauro Tropea & Mattia Giovanni Spina & Floriano De Rango & Antonio Francesco Gentile, 2022. "Security in Wireless Sensor Networks: A Cryptography Performance Analysis at MAC Layer," Future Internet, MDPI, vol. 14(5), pages 1-20, May.

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