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Fuzzy associated trust-based data security in cloud computing by mining user behaviour

Publication Type : Journal Article

Publisher : International Journal of Advanced Intelligence Paradigms

Source : International Journal of Advanced Intelligence ParadigmsVolume 25Issue 3-42023pp 382–397

Url : https://dl.acm.org/doi/abs/10.1504/ijaip.2023.132377

Campus : Amaravati

School : School of Engineering

Department : Computer Science and Engineering

Year : 2023

Abstract : As of now cloud computing assumes an essential part in a variety of areas. Despite the fact that cloud is adaptable and confident, it has a few testing issues to be tended to. A portion of the fundamental issues are cloud security and protection. The proposed fuzzy based security mechanism enhances the security level of data storage in cloud by computing cloud user's trustworthiness depending on their behaviour. Reliability is assessed utilising parameters that express user behaviours such as transfer rate, bandwidth and number of bytes per second of data from service provider to user, time period of access to the cloud system, timings of user visit and IP address used by user for cloud access. Cloud information is ensured by encoding by utilising key created in view of trust level of clients and their continuous admittance design. Frequent access pattern is detected by mining users past behaviour using FP-Growth algorithm. Experiment results show that the proposed scheme withstands black hole attack and offers higher packet delivery ratio.

Cite this Research Publication : Thulasi Bikku, "Fuzzy associated trust-based data security in cloud computing by mining user behaviour", International Journal of Advanced Intelligence ParadigmsVolume 25Issue 3-42023pp 382–397

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