A novel approach for malicious nodes detection in ad-hoc networks based on cellular learning automata

Author(s):  
Amir Bagheri Aghababa ◽  
Amirhosein Fathinavid ◽  
Abdolreza Salari ◽  
Seyedeh Elaheh Haghayegh Zavareh
2013 ◽  
Vol 59 (10) ◽  
pp. 968-975 ◽  
Author(s):  
P. Venkata Krishna ◽  
Sudip Misra ◽  
V. Saritha ◽  
Harshit Agarwal ◽  
Naveen Chilamkurti

Author(s):  
Abdelaziz Amara Korba ◽  
Mohamed Amine Ferrag

This chapter proposes a new cluster-based secure routing scheme to detect and prevent intrusions in ad hoc networks. The proposed scheme combines both specification and anomaly detection techniques to provide an accurate detection of wide range of routing attacks. The proposed secure scheme provides an adaptive response mechanism to isolate malicious nodes from the network. A key advantage of the proposed secure scheme is its capacity to prevent wormhole and rushing attacks and its real-time detection of both known and unknown attacks which violate specification. The simulation results show that the proposed scheme shows high detection rate and low false positive rate compared to other security mechanisms.


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