Year: 2025
Type: article
Abstract: Cyberspace is a complex environment consisting of heterogeneous technologies, i.e., fog computing, Internet of Things, cloud computing, and so forth, that result from interacting with services, software, and people on the Internet. It allows users to interact, share information, swap ideas, engage in social or discussion forums, play games, and conduct business, among many other activities. Cyberspace's biggest challenge is cyber-attacks, which affect security and integrity services. However, many traditional security mechanisms provide protection and security services to solve these issues. Therefore, many researchers have focused on solving security and integrity issues by addressing the need for effective lightweight encryption techniques that incorporate the advantages of lightweight symmetric and asymmetrical algorithms. In this paper, a lightweight encryption technique was created and applied with the following features: Keyless, Encryption & Integrity, Text & Number End-to-End Encryption, Reduce Traffic, and processing overhead. In addition, the proposed system provides data integrity by applying the HASH 256 function to generate a HASH value. The proposed lightweight encryption algorithm focuses on the optimal use of the resources of Internet of Things devices so that it dramatically saves all of (Processor, Memory, Energy, Time, and Bandwidth (no need to distribute the keys)), on the other hand, giving high security, especially against the crypto analyzer. In addition, the proposed lightweight encryption algorithm can manipulate text and numbers in the English and Arabic languages. Also, to achieve data integrity in the proposed system within the Internet of Things environment, 4 hexadecimal digits from the HASH value were used instead of the original 64 hexadecimal digit HASH value to reduce the network bandwidth, processing, and storage.
DOI: 10.25130/tjes.32.4.5
Authors: Hussein A. Mustafa, Galip Cansever
Institution: Altınbaş University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W7103168173
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