Device Authentication using Homomorphic Encryption
by Supriya Yadav1,* 
, Gareth Howells2
1 School of Engineering & Digital Arts, University of Kent, Canterbury, CT2 7NB, United Kingdom
2 School of Computing, University of Kent, Canterbury, CT2 7NB, United Kingdom
* Author to whom correspondence should be addressed.
Journal of Engineering Research and Sciences, Volume 2, Issue 10, Page # 1-8, 2023; DOI: 10.55708/js0210001
Keywords: Data Security, Device Authentication, Homomorphic Encryption, Encrypted Data, CKKS
Received: 02 August 2023, Revised: 27 August 2023, Accepted: 05 November 2023, Published Online: 30 October 2023
APA Style
Yadav, S., & Howells, G. (2023). Device Authentication using Homomorphic Encryption. Journal of Engineering Research and Sciences, 2(10), 1–8. https://doi.org/10.55708/js0210001
Chicago/Turabian Style
Yadav, Supriya, and Gareth Howells. “Device Authentication using Homomorphic Encryption.” Journal of Engineering Research and Sciences 2, no. 10 (October 1, 2023): 1–8. https://doi.org/10.55708/js0210001.
IEEE Style
S. Yadav and G. Howells, “Device Authentication using Homomorphic Encryption,” Journal of Engineering Research and Sciences, vol. 2, no. 10, pp. 1–8, Oct. 2023, doi: 10.55708/js0210001.
In the digital era, data security in files, databases, accounts, and networks is of utmost importance. Due to the sensitive, private, or protected information they contain, databases are a common target for cyber attacks. To assess threats to data and lower the risk involved with data processing and storage, data security is crucial. Therefore, it is necessary to find solutions to the data security problems. It has become crucial to be up-to-date on different encryption technologies and trends due to the internet’s growing sophistication and dependence on internet data transmission. It can help protect confidential information and sensitive data and enhance the security of the system. In this paper, we propose a homomorphic encryption-based device authentication method while safeguarding template data. Homomorphic encryption technology has the capability of computing on encrypted data, making it more difficult for attackers to get their hands on the original template. In this study, the CKKS technique was used, which supports the approximation of real or complex numbers.
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