An improved security approach for attack detection and mitigation over IoT networks using HACABO and Merkle signatures Online publication date: Mon, 06-Sep-2021
by E.S. Phalguna Krishna; Thangavelu Arunkumar
International Journal of Internet Technology and Secured Transactions (IJITST), Vol. 11, No. 5/6, 2021
Abstract: IoT is an agglomeration of heterogeneous technologies and interconnected devices that are autonomous and self-configurable. Its constrained resources characteristic has made it more vulnerable to harmful attacks and tend to data loss and resource exhaustion due to wireless architecture of IoT. Handling security attacks, more particularly DDoS attack, is one of the key challenges in an IoT environment. This paper focuses on detection and prevention mechanism of IoT attacks. For that, an attack detection mechanism with hybrid ant colony African buffalo optimisation and hash-based Merkle signature-prevention mechanism is proposed. The paper also introduces economic DoS (E-DoS) shield mechanism using CloudWatch to prevent high rate DDoS attacks since the conventional approaches cannot prevent it. Also, the efficiency of the developed model is compared with recent works.
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