An optimistic technique to detect Cache based Side Channel attacks in Cloud

Data security is the most critical field in Cloud Computing. The Critical data can leak through unpredictable side channels, posing very risky threats to information security. The Cache-based Side Channel Attacks (CSCAs) is one of the most challenging attacks. Different secure cache architectures ha...

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Bibliographic Details
Published in:Peer-to-peer networking and applications 2021-07, Vol.14 (4), p.2473-2486
Main Authors: Sangeetha, G., Sumathi, G.
Format: Article
Language:English
Subjects:
Cloud computing
Communications Engineering
Computer architecture
Computer Communication Networks
Critical field (superconductivity)
Customers
Engineering
Information Systems and Communication Service
Networks
Peer to peer computing
Prevention
Security
Signal,Image and Speech Processing
Software
Virtual memory systems
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Summary:Data security is the most critical field in Cloud Computing. The Critical data can leak through unpredictable side channels, posing very risky threats to information security. The Cache-based Side Channel Attacks (CSCAs) is one of the most challenging attacks. Different secure cache architectures have been proposed to defend against these attacks. But these solutions are not reliable to detect and prevent those attacks. Detection of CSCAs is a very important research-related problem. In this paper we demonstrated the detection of CSCAs. We measured the vCPU cycle, virtual memory utilization and cache miss rate to detect the attackers. We illustrated Prime + Probe attack, Flush + Flush attack, and Flush + Reload attack on the AES cryptosystem. Our detection technique is compared with the existing detection solution to demonstrate the accuracy. Our proposed work is achieved 92.5% accuracy to detect the CSC attacks. With the help of our proposed system the Cloud Service Providers(CSPs) can identify the attackers of VMs and host machines to safe guard victim users from the CSCA.
ISSN:1936-6442
1936-6450
DOI:10.1007/s12083-020-00996-1