Secured Technique to Detect and Avoid Malicious Nodes in Internet of Things

Objectives: To detect rank attacks during topology establishment and updated the RPL Destination Oriented Directed Acyclic Graph (DODAG) formation algorithm. The algorithm’s distributed module runs across all participating nodes, while centralized in sink. Methods: integrity authenticity of control messages transmitted among two nodes sink are verified using a lightweight Hashed Message Authentication Code - Light-weight One-way Cryptographic Hash Algorithm (HMAC-LOCHA). Secured Technique to Detect Avoid Malicious Nodes (STDAMN) technique is proposed overcome attack nodes. Findings: scheme STDAMN outperforms LEADER SBIDS schemes when considering 50% malicious accuracy rate 3% higher than 17% Security mode whereas it 4% 14% non-security respectively decreased attack. Again 2% 13% with- 2.2% 16.1% without-security increased Also indeed, false positive for lower by 72.5% 72%, 15.3% 21.2% negative 77.2% 62.1%, 32.5%, 39.5% on average with-security Novelty: This paper presents detection approach non-storing used IoT cope with both address this issue. performance suggested assessed conceptually through simulation Contiki-based Cooja simulator. surpasses state-of-the-art techniques terms positive/negative maintaining acceptable network performance, according results. Keywords: Security; RPL; Rank attack; HMAC; Node; DODAG