Securely Offloading Computation to the Edge with the Tangle Cache


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Ayub A., Rizwan M., Shrivastava S., Anjum A., ANGIN P., SEVER Y.

Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications, vol.13, no.4, pp.40-60, 2022 (Scopus) identifier

Abstract

The rising area of the Internet of Things (IoT) faces various issues related to the scalability and security of the data produced. Most IoT devices cannot perform complex computations on their own due to resource constraints, which require them to outsource their jobs. Due to the abundance of devices and the IoT network’s heterogeneous nature, there is a large attack surface against IoT systems. During outsourcing jobs, a major factor that affects performance is the delay in data transmission. However, the security issues such as data manipulation and leakage for edge caching have not been fully addressed in existing literature. This paper proposes a Tangle based caching model for edge services, as well as an efficient and effective scheme that will aid the offloading process between IoT devices and edge devices. The proposed model utilizes reversible integer transformation in the context of edge computing to build a secure data transfer technique that distorts the original data so that an adversary cannot access it. Experimental studies and theoretical evaluation demonstrate that our proposed scheme is promising for adoption in future IoT systems with its efficiency and security features.