Framework with temporal attribute for secure data aggregation in sensor network

• Published in: SN applied sciences Vol. 2; no. 12; p. 1975
• Main Authors: Mathapati, Mahantesh, Kumaran, T. Senthil, Prasad, K. H. Shiva, Patil, Kavita
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 01.12.2020; Springer Nature B.V
• Subjects: Agglomeration; Applied and Technical Physics; Case studies; Chemistry/Food Science; Collaboration; Comparative analysis; Computer applications; Computing time; Cost analysis; Data management; Data transmission; Earth Sciences; Energy; Energy efficiency; Engineering; Engineering: Edge Computing for Big Data; Environment; Game theory; Intrusion detection systems; Iterative methods; Materials Science; Mathematical models; Research Article; Sensors; Threat evaluation; Wireless sensor network; Secure data aggregation; Encryption; Data security
• ISSN: 2523-3963; 2523-3971
• DOI: 10.1007/s42452-020-03773-0

This study presents a cost-effective analytical model that is capable of resisting the majority of the lethal threats in WSN. The significant contribution of this paper is the inclusion of the temporal factors associated with the message transmission behavior of the sensors that act as a contributory player to retain maximum resource retention and maximum security. So the aim of the proposed system develops a cost-effective non-iterative framework that can offer robust, secure data aggregation in the presence of threats of unknown nature. The comparative analysis of the proposed system shows that it is capable of offering a higher degree of energy efficiency, reduced delay, and reduced computational time in contrast to existing models of secure data aggregation. The study outcome shows that proposed system is 45% faster with 56% of energy reduction capability than existing approaches.