Abstract
The state-of-the-art Cloud Computing (CC) has been commercially popular for shared resources of third party applications. A cloud platform enables to share resources among mutually distrusting CC clients and offers cost-effective, on-demand scaling. With the exponential growth of CC environment, vulnerabilities and their corresponding exploitation of the prevailing cloud resources may potentially increase. Although CC provides numerous benefits to the cloud computing tenant. However, features namely resource sharing and Virtual Machine (VM) physical co-residency raising the potential for sensitive information leakages such as Side Channel (SC) attacks. In particular, the physical co-residency feature allows attackers to communicate with another VM on the same physical machine and leak the confidential information due to inadequate logical isolation. Unlike encryption, which protects information from being decoded by unauthorized persons, SC attacks aim to exploit the encryption systems and to hide the occurrence of communication. SC attacks were initially identified as the main threat on multi-level secure systems i.e. OS, database, and networks. More recently, the focus of the researchers has shifted toward SC attacks in CC. Since the last level cache (L2 or L3) is always shared between VM, is the most targeting device for these attacks. Therefore, the aim of this article is to explore cross-VM SC attacks involving the CPU cache and their countermeasures in CC and to compare with the traditional SC attacks and countermeasures. We categorized the SC attacks according to the hardware medium they target and exploit, the ways they access the module and the method they use to extract confidential information. We identified that traditional prevention mechanisms for SC attacks are not appropriate for prevention of cross-VM cache-based SC attacks. We also proposed countermeasures for the prevention of these attacks in order to improve security in CC.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
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.