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Hash and Physical Unclonable Function (PUF)-Based Mutual Authentication Mechanism.
Bhatia, Kavita; Pandey, Santosh K; Singh, Vivek K; Gupta, Deena Nath.
Affiliation
  • Bhatia K; Department of Computer Science, Banaras Hindu University, Varanasi 221005, India.
  • Pandey SK; Ministry of Electronics and IT, Government of India, New Delhi 110003, India.
  • Singh VK; Department of Computer Science, Banaras Hindu University, Varanasi 221005, India.
  • Gupta DN; Center for Development of Advanced Computing, Mumbai 400049, India.
Sensors (Basel) ; 23(14)2023 Jul 11.
Article in En | MEDLINE | ID: mdl-37514605
The security of web applications in an enterprise is of paramount importance. To strengthen the security of applications, the identification and mitigation of vulnerabilities through appropriate countermeasures becomes imperative. The Open Web Application Security Project (OWASP) Top 10 API Security Risks, 2023 Edition, indicates the prominent vulnerabilities of API security risks. Broken authentication, however, is placed in second position with level-3 exploitability, level-2 prevalence, level-3 detectability, and level-3 technical impact. To mitigate this vulnerability, many mitigation strategies have been proposed by using the cryptographic primitives wherein two techniques, namely hashing and PUF, are used. Some of the proposals have integrated the concepts of hashing and PUF. However, the unnecessarily lengthy and complex mathematics used in these proposals makes them unsuitable for current API-based application scenarios. Therefore, in this paper, the authors propose a privacy-preserving authentication protocol that incorporates the capability of both mechanisms in an easy and low-complexity manner. In addition to overcoming existing limitations, the proposed protocol is tested to provide more security properties over existing schemes. Analysis of their performance has demonstrated that the proposed solutions are secure, efficient, practical, and effective for API-based web applications in an enterprise environment.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Guideline / Risk_factors_studies Language: En Journal: Sensors (Basel) Year: 2023 Type: Article Affiliation country: India

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Guideline / Risk_factors_studies Language: En Journal: Sensors (Basel) Year: 2023 Type: Article Affiliation country: India