A Fog Computing Approach for Securing IoT Devices Data using DNA-ECC Cryptography

R.Surendiran, K. Raja

doi:https://doi.org/10.59232/DST-V1I1P102

Research Article | Open Access | Download Full Text

Volume 1 | Issue 1 | Year 2022 | Article Id: DST-V1I1P102 DOI: https://doi.org/10.59232/DST-V1I1P102

A Fog Computing Approach for Securing IoT Devices Data using DNA-ECC Cryptography

R.Surendiran, K. Raja

Received	Revised	Accepted	Published
11 May 2022	29 Jun 2022	02 Jul 2022	09 Jul 2022

Citation

R.Surendiran, K. Raja. “A Fog Computing Approach for Securing IoT Devices Data using DNA-ECC Cryptography.” DS Journal of Digital Science and Technology, vol. 1, no. 1, pp. 10-16, 2022.

Abstract

In recent times, the Internet of Things (IoT) placed a vital role in various applications because various devices are connected to make communication effective. Most people utilize the IoT to gather private information and the gathered details are saved in a third-parties database. Intermediary access or unauthorised individuals attempting to access sensitive information during storage pose a threat to data confidentiality, integrity, and privacy. During this process, fog computing is worked with IoT devices because it collects a large volume of data and is computationally intensive.the security, energy consumption of fog nodes and IoT devices is critical because they generate data that can be exploited by attackers. in order to ensure data security, encryption is an effective method. Various encryption schemes exist, but each has its own constraints.in this paper we develop a DNA-based Elliptic Curve Cryptography technique with RedFox Optimization algorithmfor clustering (RF-DECC) to control data security in fog computing. Initially, the cluster heads are identified according to the Redfox optimization. Once clustering has been completed, the cluster head begins the data encryption process by encrypting cluster members' data with DNA-Elliptic Curve Cryptography (ECC). in comparison to other well-known public key cryptography algorithms, the ECC is the most lightweight cryptography. Using DNA with ECC increases encryption complexity by encoding DNA.Based on the experimental results, proposed RF-DECC method is superior in terms of delays, throughput, energy consumption, and the data security ratio. the proposed RF-DECC method improves the overall data security of 24%, 32% better than existing DIoTA and FUPA respectively.

Keywords

Fog computing, Encryption, IoT, DNA, Elliptic curve cryptography, Cluster head

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