Hybrid Confidentiality Framework for Secured Cloud Computing

Abstract

Cloud computing has emerged as a time changing technology provides variety of applications in shared mode. It provides an anytime, anywhere, anything over the Internet with one-stop service to end users. Open nature and public network make it vulnerable and security prone for several security threats. This paper investigates that single security algorithm may be easy target to compromise communication and intercept messages. Subsequently wide use and heavy traffic also raise concern of overload and performance. To keep the tradeoff between performance and security, a hybrid encryption model has been proposed based on two symmetric key cryptographic techniques. RC6 and Blowfish algorithms with 256 bit key long to create hard secure ecosystem. To associate originality and integrity, it involves MD5 and message digest solution for individual chunk. File chunking system has been implemented as like Google File System to consider large file with high performance. Proposed solution has been implemented using java technology through REST API and deployed on Amazon Web Server -EC2 instance. Performance evolution has been done in terms of computation time, memory complexity for different file size. Experimental analysis concludes that hybrid model enhances the encryption time but symmetric algorithms help to keep tradeoff between security and performance in comparison of asymmetric key cryptographic hybrid model.