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A fuzzy based Co-Operative Blackmailing Attack detection scheme for Edge Computing nodes in MANET-IOT environment - 2021

A fuzzy based Co-Operative Blackmailing Attack detection scheme for Edge Computing nodes in MANET-IOT environment

Research Area:  Mobile Ad Hoc Networks


Smart cities have been developed with the help of large scale Internet of Things (IoT) device deployment. Under the combination of IoT and traditional Mobile ad-hoc network, the developers could design the communication model for smart city. The increased deployment of IoT devices in smart environment also raised the security and Quality of Service (QoS) related issues. The proposed, Secure approach for Smart city Environment by Accusation based List management (Secure SEAL) primarily explores the various chances of disruption in IoT network caused by co-operative attacks at the edge nodes. The internal co-operative attack is a type of attack which is jointly performed by a group of nodes in IoT network. There is no fine-grained technique to defend against co-operative attacks. To this end, a fuzzy based trustworthy environment is established for reducing the security threats in smart cities with the help of Edge Computing. The trustworthy environment ensures the timely identification of malicious entities and the detection of co-operative attacks. In Edge Computing, the computations required to perform at the end devices can be placed at Edge servers. This will reduce the expected latency and bandwidth utilization required for traditional cloud access. Secure SEAL uses a fuzzy based approach to avoid and isolate the presence of malicious nodes in IoT network. The suspected nodes are re-analyzed based on the reputation value obtained by reaction based trust evaluation. Eventually, the performance of the proposed trustworthy environment has been validated. The proposed works efficacy in minimizing the impact of co operative attacks (more than 90%) is comparatively high.


Author(s) Name:  Serin V. Simpson,G. Nagarajan

Journal name:  Future Generation Computer Systems

Conferrence name:  

Publisher name:  Elsevier B.V.

DOI:  10.1016/j.future.2021.06.052

Volume Information:  Volume 125, December 2021, Pages 544-563