A cluster based signature evaluation mechanism for protecting the user data in cloud environment through fuzzy ordering approach

Abstract

A Fuzzy set techniques which perhaps eliminate the several ambiguities on the particular issue to take right decision. Users may prefer the fuzzy approaches for their internal computation conflicts or manipulation to access boundless of data from cloud. Even though we have many security approaches, users are facing massive difficulties to safeguard their owning data in cloud environment. Protecting the confidential data from various hackers is the tedious problem in the current trend. So, possibly we will achieve the efficient security outcome by applying the different set of security principles. This proposed model is well suitable for securing the user confidential information's from the attackers in any situation. It focuses on clustering the different sort of input factors of customer validation attributes and evaluates these attributes to ensure the authenticity of unique users in cloud environment by ranking the distinguished threshold levels to prove user authentication function.

Big Data Meet Cyber-Physical Systems: A Panoramic Survey

“…For instance, in [144], the authors used NoSQL for big data workflows execution to improve the scalability, parallelism and execution compared to traditional MapReduce framework. Hierarchical clustering [120], [130], [131] [121], [132] [122], [133], [134] [123]…”