Energy Efficient Secured Cluster based Distributed Fault Diagnosis Protocol for IoT

• Published in: International journal of communication networks and information security Vol. 10; no. 3; p. 539
• Main Authors: Ara, Tabassum, Prabhkar, M, Shah, Pritam Gajkumar
• Format: Journal Article
• Language: English
• Published: Kohat Kohat University of Science and Technology (KUST) 01.12.2018
• Subjects: Algorithms; Clusters; Communication; Cybersecurity; Encryption; Fault detection; Fault diagnosis; Internet of Things; Wireless communications; Wireless networks
• ISSN: 2073-607X; 2076-0930

The rapid growth of internet and internet services provision offers wide scope to the industries to couple the various network models to design a flexible and simplified communication infrastructure. A significant attention paid towards Internet of things (IoT), from both academics and industries. Connecting and organizing of communication over wireless IoT network models are vulnerable to various security threats, due to the lack of inappropriate security deployment models. In addition to this, these models have not only security issues; they also have many performance issues. This research work deals with an IoT security over WSN model to overcome the security and performance issues by designing a Energy efficient secured cluster based distributed fault diagnosis protocol (EESCFD) Model which combines the self-fault diagnosis routing model using cluster based approach and block cipher to organize a secured data communication and to identify security fault and communication faults to improve communication efficiency. In addition we achieve an energy efficiency by employing concise block cipher which identifies the ideal size of block, size of key, number of rounds to perform the key operations in the cipher.