Artificial intelligence for designing user profiling system for cloud computing security: Experiment

Sahil,; Sood, Sandeep K.; Mehmi, Sandeep; Dogra, Shikha

doi:10.1109/icacea.2015.7164645

Cited by 5 publications

(1 citation statement)

References 11 publications

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“…Thus, several researchers focus on the incorporation of user behavior analysis for anomaly detection and misuse of the service. The user profiling system using Fuzzy and genetic algorithms to monitor the usage pattern and detect suspicious activity in the system (Sahil et al, 2015).…”

Section: User Behavior Learning Methodsmentioning

confidence: 99%

Application of Machine Learning to User Behavior-Based Authentication in Smartphone and Web

Jayabalan

2022

Applications of Machine Learning and Deep Learning for Privacy and Cybersecurity

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Authentication is the preliminary security mechanism employed in the information system to identify the legitimacy of the user. With technological advancements, hackers with sophisticated techniques easily crack single-factor authentication (username and password). Therefore, organizations started to deploy multi-factor authentication (MFA) to increase the complexity of the access to the system. Despite the MFA increasing the security of the digital service, the usable security should be given equal importance. The user behavior-based authentication provides a means to analyze the user interaction with the system in a non-intrusive way to identify the user legitimacy. This chapter presents a review of user behavior-based authentication in smartphones and websites. Moreover, the review highlights some of the common features, techniques, and evaluation criteria usually considered in the development of user behavior profiling.

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Section: User Behavior Learning Methodsmentioning

confidence: 99%