Title: Privacy preserving of intermediate dataset using hybridisation of oppositional gravitational search algorithm and elliptic curve cryptography
Authors: S. Saravanan; V. Venkatachalam
Addresses: Department of Computer Science and Engineering, Vel Tech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering College, Avadi, Chennai 600-062, Tamil Nadu, India ' Erode Sengunthar Engineering College, Perundurai, Erode, Tamilnadu, India
Abstract: Distributed computing gives the gigantic capacity ability to the clients to send their applications without any infrastructure investment. Based on the application lot of intermediate dataset will be created. To protecting these intermediate dataset is a challenging task. Moreover, encrypting all dataset is a time and cost consuming. To overcome the problem, in this paper we proposed a privacy preserving of intermediate dataset using a combination of oppositional gravitational search algorithm and elliptic curve cryptography (OGSA + ECC). Initially, we split the dataset into a number of the intermediate datasets, then, we choose the node corresponding intermediate dataset from the cloud using an oppositional gravitational search algorithm (OGSA). After that, we choose the sensitive data from the dataset using the information gain measure to minimise the processing time and cost. Then, using the ECC algorithm the sensitive data is encrypted and in the cloud the secure data are stored. The experimentation is carried out in terms of encryption time and memory use.
Keywords: cloud computing; OGSA; elliptic curve cryptography; ECC; cloud specialist organisation; CSP; POS; trapdoor; encryption; decryption.
International Journal of Business Information Systems, 2019 Vol.31 No.2, pp.265 - 281
Received: 13 Jan 2017
Accepted: 26 Aug 2017
Published online: 24 Jun 2019 *