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An Investigation for Cellular Automata-Based Lightweight Data Security Model Towards Possible Uses in Fog Networks

An Investigation for Cellular Automata-Based Lightweight Data Security Model Towards Possible Uses in Fog Networks

Arnab Mitra, Sayantan Saha
ISBN13: 9781799875116|ISBN10: 1799875113|ISBN13 Softcover: 9781799883586|EISBN13: 9781799875178
DOI: 10.4018/978-1-7998-7511-6.ch012
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MLA

Mitra, Arnab, and Sayantan Saha. "An Investigation for Cellular Automata-Based Lightweight Data Security Model Towards Possible Uses in Fog Networks." Examining the Impact of Deep Learning and IoT on Multi-Industry Applications, edited by Roshani Raut and Albena Dimitrova Mihovska, IGI Global, 2021, pp. 209-226. https://doi.org/10.4018/978-1-7998-7511-6.ch012

APA

Mitra, A. & Saha, S. (2021). An Investigation for Cellular Automata-Based Lightweight Data Security Model Towards Possible Uses in Fog Networks. In R. Raut & A. Mihovska (Eds.), Examining the Impact of Deep Learning and IoT on Multi-Industry Applications (pp. 209-226). IGI Global. https://doi.org/10.4018/978-1-7998-7511-6.ch012

Chicago

Mitra, Arnab, and Sayantan Saha. "An Investigation for Cellular Automata-Based Lightweight Data Security Model Towards Possible Uses in Fog Networks." In Examining the Impact of Deep Learning and IoT on Multi-Industry Applications, edited by Roshani Raut and Albena Dimitrova Mihovska, 209-226. Hershey, PA: IGI Global, 2021. https://doi.org/10.4018/978-1-7998-7511-6.ch012

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Abstract

A lightweight data security model is of much importance in view of security and privacy of data in several networks (e.g., fog networks) where available computing units at edge nodes are often constrained with low computing capacity and limited storage/availability of energy. To facilitate lightweight data security at such constrained scenarios, cellular automata (CA)-based lightweight data security model is presented in this chapter to enable low-cost physical implementation. For this reason, a detailed investigation is presented in this chapter to explore the potential capabilities of CA-based scheme towards the design of lightweight data security model. Further, a comparison among several existing lightweight data security models ensure the effectiveness for proposed CA-based lightweight data security model. Thus, application suitability in view of fog networks is explored for the proposed CA-based model which has further potential for easy training of a reservoir of computers towards uses in IoT (internet of things)-based multiple industry applications.

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