Novel Encryption and Decryption Technique Using ATP & New Sequent Rules in Three Variables

Abstract

In this study, we extend wireless sensor networks (WSNs) with biometric authentication to propose a novel  self-verification authentication mechanism for securing Internet of Things (IoT) services.  With regard to real-world applications in WSNs, communication security is a top priority. This system prevents user credentials from being lost,  stolen, or used improperly, ensuring secure access to IoT sensor nodes. The  proposed scheme employs  biometric  authentication  for  user  verification,  which  improves  communication  security  and  provides users with a number of benefits. Along with user-friendly password/biometric change mechanisms, the scheme also supports dynamic node addition. Formal security techniques like ROR and analysis tools like AVISPA are used  to  examine  the  proposed  mechanism’s  security,  showing  that  the  scheme  is  secure  even  with  a  finite number  of  sessions.  Additionally,  the  performance  evaluation’s  analytical  findings  show  that  the  proposed scheme effectively implements authentication, information exchange, and other crucial security features.

Keywords: ATP, New antecedent rules, New consequent rules, Encryption, Decryption and Security, Authentication, Internet of Things, Random oracle model, AVISPA, Security, privacy