Artificial flora optimization algorithm in connected vehicular network

Deepak Choudhary () and Roop Pahuja
Additional contact information
Deepak Choudhary: Dr. B.R Ambedkar National Institute of Technology
Roop Pahuja: Dr. B.R Ambedkar National Institute of Technology

International Journal of System Assurance Engineering and Management, 2023, vol. 14, issue 1, No 28, 323-333

Abstract: 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.

Keywords: Vehicular networks; Internet of things; Privacy; Security; Public key cryptosystem (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s13198-022-01798-9 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:ijsaem:v:14:y:2023:i:1:d:10.1007_s13198-022-01798-9

Ordering information: This journal article can be ordered from
http://www.springer.com/engineering/journal/13198

DOI: 10.1007/s13198-022-01798-9

Access Statistics for this article

International Journal of System Assurance Engineering and Management is currently edited by P.K. Kapur, A.K. Verma and U. Kumar

More articles in International Journal of System Assurance Engineering and Management from Springer, The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().