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Presenter: Fahad Alruwaili
Supervisor: Prof. Aaron Gulliver

Date: Wed, July 15, 2015
Time: 10:00:00 - 00:00:00
Place: EOW 430

ABSTRACT

Summary:

With the recent emergence and rapid advancement of cloud computing infrastructure and services, outsourcing Information Technology (IT) and digital services to Cloud Providers (CPs) has become attractive. This raises Confidentiality, Integrity, and Availability (CIA) concerns as well as trust related issues, particularly when the cloud hosts sensitive infrastructure and applications. However, the majority of cloud service providers tailor their services to address functionality (such as availability, speed, and utilization) and design requirements (such as integration), rather than protection against cyber-attacks and associated security issues. Our work considers the detection and prevention of security attacks against cloud computing systems. A proactive Cooperative Cloud Intrusion Prevention System (CCIPS) framework is proposed to detect and prevent known and zero-day threats targeting cloud computing networks. This framework provides enhanced threat detection and prevention via behavioral and anomaly data analysis. A multi-layered approach to security is employed to provide a cooperative model cloud which has both high performance and high availability. Additionally, a trust model based on CCIPS framework is devised to evaluate CCIPS performance to address CIA concerns. The trusted model supports transparency and promotes security and privacy in cloud computing environment by enabling accredited third parties to assess and audit the CCIPS systems.