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Issue title: Special section: Recent trends, Challenges and Applications in Cognitive Computing for Intelligent Systems
Guest editors: Vijayakumar Varadarajan, Piet Kommers, Vincenzo Piuri and V. Subramaniyaswamy
Article type: Research Article
Authors: Devarajan, Malathi; * | Sasikaladevi, N.
Affiliations: School of Computing, SASTRA Deemed University, Thanjavur, Tamil Nadu, India
Correspondence: [*] Corresponding author. Malathi Devarajan, School of Computing, SASTRA Deemed University, Thanjavur, Tamil Nadu, India. E-mail: malathipuducherry@gmail.com.
Abstract: With the growing trend of Communication Technologies (ICT), buying goods through online has been increased drastically. Besides, e-payment makes online purchase easier and made our daily life more convenient. However, there exists a user privacy and data security issue in conventional e-payment systems. Thus, a hyper elliptic curve based signcryption scheme is proposed to achieve reduced computational cost. Because, most of the payment is processed on resource constraint devices like smart phone, hence an energy efficient e-payment system is in requisite. In order to ensure user authenticity, an aadhaar number (unique identity) is used to generate signcryption key. The proposed signcryption scheme can be implemented in real-time applications like e-payment system to ensure confidentiality, privacy, authenticity and integrity. The security of the system is validated through a simulation tool – AVISPA (Automated Validation of Internet Security Protocols and Applications). Further, the resistivity against various cryptographic attacks was analyzed informally and also the computational cost is estimated and compared with other related schemes.
Keywords: E-payment system, signcryption, hyper elliptic curve, security analysis, cybersecurity
DOI: 10.3233/JIFS-189144
Journal: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 6, pp. 8237-8247, 2020
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