Cipher Block Chaining Support Vector Machine for Secured Decentralized Cloud Enabled Intelligent IoT Architecture
Block chaining; cloud computing; cryptography; cryptosystem; symmetric key
The growth of internet era leads to a major transformation in a storage of data and accessing the applications. One such new trend that promises the endurance is the Cloud computing. Computing resources offered by the Cloud includes the servers, networks, storage, and applications, all as services. With the advent of Cloud, a single application is delivered as a metered service to numerous users, via an Application Programming Interface (API) accessible over the network. The services offered via the Cloud are such as the infrastructure, software, platform, database and web services. The main motivation of this application model is to provide computationally secure key generation to protect the data via encryption. This key generation in the cryptography process falls into three categories in this research work. In the first part, SVM based encryption service model is constructed for which the key generation is from the conventional encryption operation mode with some improvements. To make the process more complex, the optimization techniques are taken into account for the key generation in descendant two methods application model that acts computationally more secure specifically for Cloud environment. The results of security analysis confirm the effectiveness of the proposed application model withstands potentially against various attacks such as Chosen Cipher Attack, Chosen Plain text Attack indistinguishable attacks for files. In case of images, it resists well against statistical and differential attacks. Comparative Analysis shows evidence of the efficiency of the developed pioneering application model quality and strength compared with that of the existing services. 2013 IEEE.
Samanta D.; Alahmadi A.H.; Karthikeyan M.P.; Khan M.Z.; Banerjee A.; Dalapati G.K.; Ramakrishna S.
Institute of Electrical and Electronics Engineers Inc.
https://doi.org/10.1109/ACCESS.2021.3095297 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85110647577&doi=10.1109%2fACCESS.2021.3095297&partnerID=40&md5=24cc37caf68837a18e4d2a722a91aff3
Samanta D., Department of Computer Science, CHRIST (Deemed to Be) University, Karnataka, Bengaluru, India; Alahmadi A.H., Department of Computer Science and Information, Taibah University, Medina, Saudi Arabia; Karthikeyan M.P., Department of Computer Science, PPG College of Arts and Science, Coimbatore, India; Khan M.Z., Department of Computer Science and Information, Taibah University, Medina, Saudi Arabia; Banerjee A., Physics Department, Bidhan Chandra College, West Bengal, Asansol, India; Dalapati G.K., Department of Mechanical Engineering, Center for Nanofibers and Nanotechnology, National University of Singapore, Singapore; Ramakrishna S., Department of Mechanical Engineering, Center for Nanofibers and Nanotechnology, National University of Singapore, Singapore