Title: Hybrid coherent encryption scheme for multimedia big data management using cryptographic encryption methods

Authors: A. Stephen Dass; J. Prabhu

Addresses: School of Information Technology & Engineering (SITE), Vellore Institute of Technology, Vellore, Tamil Nadu, India ' School of Information Technology & Engineering (SITE), Vellore Institute of Technology, Vellore, Tamil Nadu, India

Abstract: In today's world of technology, data has been playing an imperative role in many different technical areas. Data confidentiality, integrity and data security over internet from different media and applications have greater challenging tasks. Data generation from multimedia and IoT data is another biggest big data in internet now. When sensitive and confidential data are counterfeit by attacks this requires serious countermeasures for security and privacy. Many cryptographic techniques are used for multimedia and IoT but when massive data are developed there are more computational challenges. This paper proposes a new coherent encryption algorithm solving issue of IoT and multimedia big data. Handling huge data with the help of GPU is included in order to enhance the data processing more efficiently. The proposed algorithm is compared with other symmetric cryptographic algorithms based on architecture, flexibility, scalability, security level and also based on computational running time, throughput for both encryption and decryption process and avalanche effect.

Keywords: big data; symmetric key encryption; analysis; security; GPU; IoT; multimedia big data.

DOI: 10.1504/IJGUC.2020.108449

International Journal of Grid and Utility Computing, 2020 Vol.11 No.4, pp.496 - 508

Received: 26 Mar 2018
Accepted: 01 May 2018
Published online: 14 Jul 2020 *

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