Improved TOPSIS: A multi-criteria decision making for research productivity in cloud security

摘要

Cloud Computing (CC) paradigm has become a mainstream solution for deployment of business processes and applications. It provides an ability to utilize geographically distributed resources a pay-as-you-go model. According to industry reports, 76% of prospective cloud clients viewed security as the major barrier in the adaption of CC. During the last decades, the research community has immensely focused on developing and optimizing security techniques to overcome this hurdle in computing. Due to a huge amount of literature, it becomes difficult to comprehend the overall structure and advancements. This domain needs an analytic approach to completely understand the problem domain. Therefore, in accordance to architecture layer of CC is the need of hour. This article represents the same in context to security in CC. Further, a notion on Security Issues (SI's) in CC with respect to vulnerabilities, threats, and attacks are discussed. Paper also proposed two research evaluation parameters that are Effective Citation (EC) and Effective Impact Factor (EIF) for better appreciate and analyse the patterns, trends and other important factors as a basis for directing research activities. A case study is demonstrated based on proposed parameters and generic parameters to rank effective journals by using improved TOPSIS method. Finally, global research trends on security domain are evaluated and analysed.