Secure public administration using wireless blockchain technology with efficient routing policy

• Published in: International journal of communication systems Vol. 36; no. 6
• Main Authors: P, Anitha Rajakumari, Parwekar, Pritee
• Format: Journal Article
• Language: English
• Published: Chichester Wiley Subscription Services, Inc 01-04-2023
• Subjects: Blockchain; Confidentiality; corruption; Cryptography; Graph neural networks; hyper ledger; New technology; Performance measurement; Public administration; smart contracts; Transparency; wireless sensor network; Wireless sensor networks; wireless‐based public administration process
• ISSN: 1074-5351; 1099-1131
• DOI: 10.1002/dac.5441

Summary
Current research works are majorly focused on the security importance and prevention measures in wireless sensor network (WSN). The survey of existing papers states that there are no efficient protocols for achieving secure and reliable peer authentication that ensures trust and confidentiality of the end‐users, as public administration worldwide invokes many maximized resources demanding transparency with security. Nowadays, a number of nations have started implementing smart city ideas; new technology should be used to safeguard various public administration services against corruption, intruders rendering an active part, and public transparency. By integrating blockchain (BC) technology with wireless‐based public administration process (WBPAP), the challenge of gaining trust, and eliminating corruption can be attained. Auto‐metric graph neural network (AGNN) approach is proposed for eliminating data tampering and malicious attack in the peer network. Trust, confidentiality, and integrity can be achieved using the proposed BC‐AGNN‐WBPAP‐WSN approach. The simulation of this model is activated in MATLAB, and its performance is examined using some performance metrics. Finally, the attained outcomes prove that the proposed method is the first wireless‐based public blockchain experimental method for public administration analyzed with theoretical methods.
The current research works are majorly focused on the security importance and prevention measures in wireless sensor network (WSN). Auto‐metric graph neural network (AGNN) approach is proposed for eliminating data tampering and malicious attack in the peer network. Trust, confidentiality, and integrity can be achieved using the proposed BC‐AGNN‐WBPAP‐WSN approach.