A Lion Optimization Algorithm for an Efficient Cloud Computing With High Security
S. Periyanatchi, K. Chitra · Journal of scientific research · 2020
Cloud computing is a developing paradigm to provide reliable and resilient infrastructure allowing the users (data owners) to store their data and the data consumers (users) can access the data from cloud servers.This paradigm reduces storage and maintenance cost of the data owner.However, cloud data storage still gives rise to security related problems.In case of shared data, the data face both cloud-specific and insider threats.In this work, we propose lion optimization algorithm (LOA) optimized centrality measure fragmentation and replication of data in the cloud for optimum performance and security that consider both security and performance issues.The Lion Optimization Algorithm (LOA) is introduced.Special lifestyle of lions and their cooperation characteristics has been the basic motivation for development of this optimization algorithm.In our methodology, Mating that refers to deriving new solutions and Territorial Defense and Territorial Takeover intend to find and replace the worst solution by new the best solution.Likewise, we divide a data files and replicate the fragmented data over the cloud nodes using LOA optimized centrality measures.Each of the nodes stores only a single data fragment of a particular data file that guarantees that even in case of a successful attack, no significant information is revealed to the attacker.We also proposed a fused technique which is used for the encryption and decryption to enhance the high security for the data in the cloud environment.This can be implemented after the LOA performance and also protects the information in the cloud efficiently.We also compare the performance of the LOA methodology and fused encryption and decryption techniques with other standard replication schemes.The higher level of security with improved performance overhead was observed.