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Compressive sensing and paillier cryptosystem based secure data collection in WSN - 2021

Compressive sensing and paillier cryptosystem based secure data collection in WSN

Research Area:  Wireless Sensor Networks


Due to the technological advancements and smart deployment, wireless sensor networks (WSNs) receive much attention in numerous real-time application fields. The stringent limitations of the battery of sensor devices and dubious wireless medium incur enormous challenges in the secure data collection and routing. Integration of compressive sensing and cryptography mechanism provide an efficient paradigm for reliable and energy efficient data collection over WSNs. With the aim of reducing communication cost and resilience against different WSN security attacks, this paper proposes a paillier cryptosystem and compressive sensing based routing (PC2SR) protocol. To achieve its objective, the proposed PC2SR designs three mechanisms that are paillier cryptosystem based key distribution and management, intra-cluster data gathering, and secure data transmission. Initially, the PC2SR provides paillier security keys to each device for data authentication. Instead of providing a long term security keys among two entities, the lightweight key refreshing mechanism of paillier cryptosystem in PC2SR updates the keys over a specific time interval. Secondly, the design of the Spatio-temporal measurement matrix within the intra-cluster reduces the computation and communication costs considerably. The integration of zero noise factors with all transmitted data assists the BS in detecting and isolating malicious behaviors in the network. Thus, the PC2SR efficiently offers high security in terms of integrity and confidentiality over WSN. We compare PC2SR to existing schemes, CSDA developed in 2017 and CSHEAD in early 2021 which outperform CSDA. The new scheme PC2SR offer better performance for all KPIs and thus is the best model combining data confidentiality and attack detection in WSN


Author(s) Name:   Samir Ifzarne, Imad Hafidi & Nadia Idrissi

Journal name:  Journal of Ambient Intelligence and Humanized Computing

Conferrence name:  

Publisher name:  Springer

DOI:  10.1007/s12652-021-03449-6

Volume Information: