De-centralized information flow control for cloud virtual machines with hybrid AES-ECC and improved meta-heuristic optimization based optimal key generation
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机译：De-centralized information flow control for cloud virtual machines with hybrid AES-ECC and improved meta-heuristic optimization based optimal key generation
Cloud computing is now used by many enterprises due to its increased computational efficiency, economic effectiveness, as well as flexibility. However, security is currently the main issue impeding the cloud computing platform's growth. Therefore, Decentralized Information Flow Control (DIFC) has been proposed as a suitable remedy for resolving the cloud security problems. Using conventional network access and encryption technology was not practicable in the DIFC to effectively restrict the spread of the tenant's personal data inside the system. Therefore, a novel DIFC framework for cloud virtual machines (VM) is suggested here. The suggested system encapsulates four entities such as central authority (CA), encryption proxy (EP), cloud server (CS), and cloud tenant VM. The EP has implemented the ciphertext data-flow security technique. Encryption is carried out using the newly proposed hybrid "Advanced Encryption Standard (AES)-Elliptic Curve Cryptography (ECC) algorithm". The hybrid AES-ECC encryption technique uses the proposed Improved Poor Rich Optimization (IPRO) model to compute the optimal key. The implementation of the developed work is evaluated against the existing works for the "Chess, T1014D100K, and Retail datasets". In particular, for the T1014D100K dataset, the cost function of the suggested model at the 2.5th iteration is 57.14%, 62.05%, 80%, 54.2%, and 56% better than the old models like BOA, SMO, SSA, PRO, and LA correspondingly.
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