Abstract
The academic community has placed a lot of emphasis on privacy and security as a result of the expanding use of the internet of things. Security and privacy are crucial given the volume of personally identifiable information collected by Internet of Things devices, such as identification, location, phone numbers, and energy use. The application of Internet of Things technologies on the client side will be hampered by the lack of clearly defined privacy and security solutions afforded by the Internet of Things. In order to secure people's privacy within the framework of the internet of things, this research suggests the ElGamal public key cryptosystem (EGPKC) with optimum key generation utilizing the oppositional artificial flora optimization (EGPKC-OAFA) algorithm. The IEEE 802.15.4 MAC standard, which incorporates the security field as a component of the MAC header, is the main focus of the EGPKC-OAFA technique. Additionally, the MAC header incorporates the EGPKC method, enabling the most effective creation of authentication keys. Additionally, the OAFA technique uses the OAFA approach, with the results of several functions, such as opposition-based and conventional AFA concepts, defined. The best EGPKC applicant screening process, it has been demonstrated through a variety of simulations that the EGPKC- can accurately analyses its performance.
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Choudhary, D., Pahuja, R. Artificial flora optimization algorithm in connected vehicular network. Int J Syst Assur Eng Manag 14, 323–333 (2023). https://doi.org/10.1007/s13198-022-01798-9
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DOI: https://doi.org/10.1007/s13198-022-01798-9