Multi-Objective Response to Co-Resident Attacks in Cloud Environment

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This article introduces a novel multi-objective attack response system.

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12 p.

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Abazari, Farzaneh; Analoui, Morteza & Takabi, Hassan September 17, 2017.

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This article is part of the collection entitled: UNT Scholarly Works and was provided by UNT College of Engineering to Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 34 times , with 6 in the last month . More information about this article can be viewed below.

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Description

This article introduces a novel multi-objective attack response system.

Physical Description

12 p.

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Abstract: Cloud computing is a dynamic environment that offers variety of on-demand services with low cost. However, customers face new security risks due to shared infrastructure in the cloud. Co-residency of virtual machines on the same physical machine, leads to several threats for cloud tenants. Cloud administrators are often encountered with a more challenging problem since they have to work within a fixed budget for cloud hardening. The problem is how to select a subset of countermeasures to be within the budget and yet minimize the residual damage to the cloud caused by malicious VMs. We address this problem by introducing a novel multi-objective attack response system. We consider response cost, co-residency threat, and virtual machines interactions to select optimal response in face of the attack. Optimal response selection as a multi-objective optimization problem calculates alternative responses, with minimum threat and cost. Our method estimates threat level based on the collaboration graph and suggests proper countermeasures based on threat type with minimum cost. Experimental result shows that our system can suggest optimal responses based on the current state of the cloud.

Source

  • International Journal of Information & Communicatino Technology Research, 2017. Tehran, Iran: Iran Telecom Research Center

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Publication Information

  • Publication Title: International Journal of Information & Communication Technology Research
  • Volume: 9
  • Issue: 3
  • Pages: 25-36
  • Peer Reviewed: Yes

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UNT Scholarly Works

Materials from the UNT community's research, creative, and scholarly activities and UNT's Open Access Repository. Access to some items in this collection may be restricted.

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Submitted Date

  • March 24, 2017

Accepted Date

  • September 17, 2017

Creation Date

  • September 17, 2017

Added to The UNT Digital Library

  • Feb. 28, 2018, 6:41 p.m.

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Abazari, Farzaneh; Analoui, Morteza & Takabi, Hassan. Multi-Objective Response to Co-Resident Attacks in Cloud Environment, article, September 17, 2017; Tehran, Iran. (digital.library.unt.edu/ark:/67531/metadc1114884/: accessed December 10, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT College of Engineering.