Hybrid Cuckoo-ABC Search: A comprehensive framework for vulnerability solutions in cloud computing

Abstract

In the increase in cloud technology, data security became an concern over from application service (SaaS) to Infrastructure services (IaaS).As term virtualization, Vulnerability is one of the major concerns over Private and hybrid-Clouds have been Soft target in attacks, So perceived as a relatively impervious deployment model among Cloud models. Confidentiality, integrity, availability, authenticity, and accountability are the essence of security objectives for information systems and the services they offer. In this paper , artificial bee colony algorithm and Hybrid Cuckoo-ABC Search algorithm have been analyzed , The optimization problem solving successes of above algorithms compared statistically by testing over different files , which build a security framework approach for vulnerabilities which coverage and cost optimization .And found the run-time performance of the Cuckoo Search algorithms are statistically better than the ABC algorithm.

Authors and Affiliations

SK Prashanth, N Sambasiva Rao

Keywords

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  • EP ID EP392507
  • DOI 10.9790/9622-07010015458.
  • Views 95
  • Downloads 0

How To Cite

SK Prashanth, N Sambasiva Rao (2017). Hybrid Cuckoo-ABC Search: A comprehensive framework for vulnerability solutions in cloud computing. International Journal of engineering Research and Applications, 7(10), 54-58. https://europub.co.uk/articles/-A-392507