Abstract
Cloud computing has emerged as a new computing paradigm with enormous benefits that have attracted many businesses and service providers. As a result, it is critical to ensure highly available and resilient cloud system that continues to operate correctly under different circumstances. This is endangered by risks of cloud insider attacks. In this work, we propose an artificial intelligence based system to detect cloud insider attacks. A hierarchical detection system is used to ensure high detection accuracy and speed. In the first layer, we use a simple expert system to classify the insider as a normal, an attacker, or a probable attacker. The system reacts accordingly by allowing normal insiders to continue their work, blocking attackers, and performing further investigation on probable attackers in the second layer using a decision tree. Simulation results show that our system is able to detect insider attacks with 99.67% detection accuracy.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Information and Computer Security
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
