Visible to the public Multi-factor Biometric Authentication Approach for Fog Computing to ensure Security Perspective

TitleMulti-factor Biometric Authentication Approach for Fog Computing to ensure Security Perspective
Publication TypeConference Paper
Year of Publication2021
AuthorsAhmadi, Fardin, Sonia, Gupta, Gaurav, Zahra, Syed Rameem, Baglat, Preeti, Thakur, Puja
Conference Name2021 8th International Conference on Computing for Sustainable Global Development (INDIACom)
Date Publishedmar
Keywordsauthentication, Bio-Metric Authentication Technique, Biological system modeling, biometrics (access control), cloud computing, Cloud Security, Computational modeling, Data Security Analysis, decoy technique, Fog Computing, Human Behavior, human factors, Metrics, multifactor authentication, pubcrawl, resilience, Resiliency, Scalability, security, Theft Attacks
AbstractCloud Computing is a technology which provides flexibility through scalability. Like, Cloud computing, nowadays, Fog computing is considered more revolutionary and dynamic technology. But the main problem with the Fog computing is to take care of its security as in this also person identification is done by single Sign-In system. To come out from the security problem raised in Fog computing, an innovative approach has been suggested here. In the present paper, an approach has been proposed that combines different biometric techniques to verify the authenticity of a person and provides a complete model that will be able to provide a necessary level of verification and security in fog computing. In this model, several biometric techniques have been used and each one of them individually helps extract out more authentic and detailed information after every step. Further, in the presented paper, different techniques and methodologies have been examined to assess the usefulness of proposed technology in reducing the security threats. The paper delivers a capacious technique for biometric authentication for bolstering the fog security.
DOI10.1109/INDIACom51348.2021.00031
Citation Keyahmadi_multi-factor_2021