Visible to the public Enhanced Homomorphic Encryption Scheme with PSO for Encryption of Cloud Data

TitleEnhanced Homomorphic Encryption Scheme with PSO for Encryption of Cloud Data
Publication TypeConference Paper
Year of Publication2019
AuthorsKhan, Saif Ali, Aggarwal, R. K, Kulkarni, Shashidhar
Conference Name2019 5th International Conference on Advanced Computing Communication Systems (ICACCS)
Keywordscloud computing, cloud data, cloud server, cryptography, encoding, encoding procedure, encoding technique, Encryption, Homomorphic, homomorphic algorithm, homomorphic encoding scheme, homomorphic encryption, homomorphic encryption approach, homomorphic encryption scheme, human factors, key allocation, Key Management, key organization, metaheuristic algorithms, Metrics, Nature Inspired, particle swarm optimisation, particle swarm optimization, PSO algorithms, pubcrawl, Resiliency, Resource management, resource utilization, Scalability
AbstractCloud computing can be described as a distributed design that is accessible to different forms of security intrusions. An encoding technique named homomorphic encoding is used for the encoding of entities which are utilized for the accession of data from cloud server. The main problems of homomorphic encoding scheme are key organization and key allocation. Because of these issues, effectiveness of homomorphic encryption approach decreases. The encoding procedure requires the generation of input, and for this, an approach named Particle swarm optimization is implemented in the presented research study. PSO algorithms are nature encouraged meta-heuristic algorithms. These algorithms are inhabitant reliant. In these algorithms, societal activities of birds and fishes are utilized as an encouragement for the development of a technical mechanism. Relying on the superiority of computations, the results are modified with the help of algorithms which are taken from arbitrarily allocated pattern of particles. With the movement of particles around the searching area, the spontaneity is performed by utilizing a pattern of arithmetical terminology. For the generation of permanent number key for encoding, optimized PSO approach is utilized. MATLAB program is used for the implementation of PSO relied homomorphic algorithm. The investigating outcomes depicts that this technique proves very beneficial on the requisites of resource exploitation and finishing time. PSO relied homomorphic algorithm is more applicable in terms of completion time and resource utilization in comparison with homomorphic algorithm.
Citation Keykhan_enhanced_2019