Securing Cloud Technology’s Service Management using Cognitive and Biometric Approaches
P. Adlene Ebenezer1, Amritesh Singh2, Sakshi Singh3, Ayush Sinha4, Tarun Keshri5
1P. Adlene Ebenezer, Assistant Professor, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai (T.N), India.
2Amritesh Singh, B.Tech (IV) Year Student, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai (T.N), India.
3Sakshi Singh, B.Tech (IV) Year Student, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai (T.N), India.
4Ayush Sinha, B.Tech (IV) Year Student, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai (T.N), India.
5Tarun Keshri, B.Tech (IV) Year Student, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai (T.N), India.
Manuscript received on 03 June 2019 | Revised Manuscript received on 28 June 2019 | Manuscript Published on 04 July 2019 | PP: 359-365 | Volume-8 Issue-1S4 June 2019 | Retrieval Number: A10640681S419/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Cloud computing is an emerging technology that lets users to access the cloud server to store their data and access it on-demand, anywhere and at anytime. But it also has many security issues since the CSPs are not in the domain of trust. Thus, to guarantee the safety of data from untrusted sources many securing mechanisms are being adopted since the security of services in a cloud technology is a very important aspect, which cannot be ignored. If certain critical data falls in the wrong hands, it can wreak havoc. The existing systems apply cryptographic methods at a fine-grained access control and data sharing levels for the services of dynamic user groups in cloud, but it poses to be a challenging issue. In fine-grained access control each data item is given its own control policy. If an entity wants to access a data item it will have to provide its credentials to a third party policy enforcer, which is not the owner of the data. These access control policies and the entity credentials might reveal some critical information to the policy enforcer to which it is not entitled to know. In this paper we propose securing cloud technology services using biometric and cognitive methodologies for dynamic cloud user groups. Extraction of unique and different personal characteristics and behavioral patterns are used in management protocols. Cognitive security is based on application of AI technology of human thought process to find the most appropriate solution in a situation, and along with the users Biometric features like palm/finger prints, voice recognition, retina scan, facial recognition and with the addition of cryptographic methods to these an efficient and secure solution is developed.
Keywords: Cloud Computing, Biometric, Security, Cognitive, Cryptography, Service Management.
Scope of the Article: Cloud Computing