Previously-Selected-Server-First based Scalable VM Placement Algorithm for Mitigating Side Channel Attacks in Cloud Computing

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Author(s)

Adi Maheswara Reddy G 1 K Venkata Rao 2 JVR Murthy 3

1. JNTUK, Kakinada, AP, INDIA

2. Vignan Institute of Information Technology Visakhapatnam, AP, INDIA

3. JNTUK College of Engineering, Kakinada, AP, INDIA

* Corresponding author.

DOI: https://doi.org/10.5815/ijwmt.2018.01.06

Received: 8 Sep. 2017 / Revised: 28 Sep. 2017 / Accepted: 11 Oct. 2017 / Published: 8 Jan. 2018

Index Terms

Cloud Security, Co-resistance Attacks, VM placement policy, PSSF, Greedy Algorithm, VM migration

Abstract

Pertaining to the rapid usage of cloud computing, cloud based approaches are growing as an fascinating domain for numerous malignant tasks. Security is one of the vital issues faced by the cloud computing environment while sharing resources over the internet. Consumers are facing distinct security hazards while using cloud computing platform. Previous works mainly attempted to mitigate the side channels attacks by altering the infrastructure and the internal procedures of the cloud stack. However, the deployments of these alterations are not so easy and could not resist the attacks. In this paper, the authors attempted to solve the issues by enhancing the VM Placement policies in such a way that, it is complex for the invaders to collocate their object. A secure Dynamic VM placement approach is presented for the VM allocations into different servers in the cloud. The performance comparison of the suggested methodology is shows that the proposed approach has better efficiency evaluations such as hit rate, loss rate and resource loss when compared to other V M placement policies.

Cite This Paper

Adi Maheswara Reddy G, K Venkata Rao, JVR Murthy," Previously-Selected-Server-First based Scalable VM Placement Algorithm for Mitigating Side Channel Attacks in Cloud Computing", International Journal of Wireless and Microwave Technologies(IJWMT), Vol.8, No.1, pp. 50-59, 2018. DOI:10.5815/ijwmt.2018.01.06

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