A New Security Framework for Cloud Data

Abstract

In many organizations and institutions, the use of cloud has increased rapidly. Cloud data storage is one of the main advantages of cloud computing, where the data owners do not store their data on own servers, but the data are mainly stored on the cloud by the data owners. On this end, cloud security is one of the most analytical aspects due to the confidential information and responsive data. This paper presents a new security framework which provides more data security and confidentiality. In the new security framework, a data is spilt in the blocks of bits. Genetic algorithm is applied on every two blocks of bits. Final output of every genetic algorithm operation is a ciphertext which is also two blocks of bits. Each ciphertext is stored on cloud at distinct location and location of the ciphertext is not fixed. So, it is difficult for an attacker to detect where ciphertext is. Also, genetic algorithm has no key concept due to which security of data increases. The new security framework applies genetic algorithm on smaller block size which increases the security. The framework also uses the capability list for secure and fine grain access of data.