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An Enhanced User Authentication and Key Agreement Scheme for Wireless Sensor Networks Tailored for IoT.
Tyagi, Pooja; Kumari, Saru; Alzahrani, Bander A; Gupta, Anshay; Yang, Ming-Hour.
Afiliação
  • Tyagi P; Department of Mathematics, Chaudhary Charan Singh University, Meerut 250004, India.
  • Kumari S; Department of Mathematics, Chaudhary Charan Singh University, Meerut 250004, India.
  • Alzahrani BA; Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 21589, Saudi Arabia.
  • Gupta A; Department of Computer Science and Engineering, HMR Institute of Technology and Management, New Delhi 110036, India.
  • Yang MH; Department of Information and Computer Engineering, Chung Yuan Christian University, Taoyuan 320314, Taiwan.
Sensors (Basel) ; 22(22)2022 Nov 14.
Article em En | MEDLINE | ID: mdl-36433388
ABSTRACT
A security protocol for wireless transmission is essential to defend sensitive information from malicious enemies by providing a variety of facilities such as privacy of the user's information, secure session key, associated authentication, and user-repeal facility when a person's authorizations are suddenly disclosed. Singh et al. proposed an improved user authentication and key agreement system for wireless sensor networks (WSNs). Authors are sure that their protocol is secure from various attacks. Here, we find several security pitfalls in their scheme, such as an offline password-guessing attack, failure to protect the session key, and a man-in-the-middle attack. To remove the identified pitfalls found in Singh et al.'s scheme, we design an enhanced authentication scheme for WSNs tailored for IoT. We prove the reliability of our proposed protocol using the real or random (RoR) model. We also evaluate the proposed scheme with the associated schemes and show its superior efficacy as compared to its counterparts.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Privacidade Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Privacidade Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article