A Framework for Continuous Authentication in Secure Cloud Access Systems

Abstract

The cloud computing technology provides the ability to store the data of the users along with offering the service through the Internet. Cloud computing environments are vulnerable to threats such as session hijacking and credential misuse. Traditional authentications methods are based on one time verification of the authentication process alone.

This paper presents a model for continuous authentication that can be used to improve cloud security by ensuring the identification of user activity during an active session. Specifically, behavioral biometrics like keystroke dynamics will be used to detect user activity in an online environment and create a unique behavior pattern for every individual.

Moreover, Since continuous authentication requires large-scale data analysis, scalable big data computing solutions such as Apache Spark will be used to handle authentication log files. The objective of this paper is to develop a model for continuous authentication that enhances cloud security cloud computing systems from any breaches.

Index Terms—Continuous Authentication, Keystroke Dynamics, Cloud Security, Zero Trust, Behavioral Biometrics