Securing Cloud Data Against Cyber-Attacks Using Hybrid Aes With MHT Algorithm

Abstract

Cloud computing is dealing with large amount of data during data communication. This data processing is named as big data. The big data is growth of the demand in accessing the storage, computation and communication. This big data has the major defects. A raising issue in emerging big data is cost minimization. The architecture of big data ranges over multiple machines and cluster which have sub system. The major challenge of this big data is pre-processing and analysing the data patterns. This research article is dealing with different data pre-processing and secure data storage. There are many research challenges during this data process. The possible gap and drawbacks in the technology are identified through this survey and the efficient big data service is provided through MHT and AES algorithm. The main aim of this proposed method is to provide better data security during larger data process. The proposed hybrid MHT with AES algorithm is to minimize the encryption and decryption time apart from that it reduces the attacker ratio. All these parameters automatically increase the Quality of Service.

Efficient Cloud Environment for Secure User Authentication to Prevent Cyber Attacks Using DES Over AES

“…The need of the hour leads to the cost-effective mechanism in cloud with low power consumption, less delay in key transaction and enhanced security methods [14,15]. The limitations were found in the proposal of secure cloud data management against the attacks by AES integrated with MHT algorithm [14][15][16]. Based on the above finding, proposed algorithm was chosen to improve the execution time.…”