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

  • Farzaneh Abazari Iran University of Science and Technology
  • Morteza Analoui Iran University of Science and Technology
  • Hassan Takabi University of North Texas
Keywords: Cloud Computing;, Attack Response;, Cloud Security;, Co-resident Attack;, Graph Theory


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.


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Author Biographies

Farzaneh Abazari, Iran University of Science and Technology

Farzaneh Abazari is a Ph.D. candidate in the Department of Computer Engineering at Iran University of Science and Technology. She was a visiting scholar in Department of Computer Science and Engineering of University of North Texas, Denton, TX, USA. She received her B.S. (2008) and M.S.C (2011) from Amirkabir University of Technology (Tehran Polytechnic) in Software engineering and Information Security. Her research interests include cloud computing security and malware propagation.

Morteza Analoui, Iran University of Science and Technology

Morteza Analoui is Associate Professor in the Department of Computer Engineering at Iran University of Science and Technology, where he is also director of the Networking Laboratory. He received a B.Sc. degree in electrical engineering from Iran University of Science & Technology and a Ph.D. degree in telecommunication from Okayam University, Japan. Dr. Analoui has been an Assistant Professor at Electrical and Electronic Engineering of Okayama University, Japan, and Electrical & Computer Engineering Department of Tarbiat Modaress University, Tehran, Iran. His research interests include modeling and performance evaluation, network protocols and architecture, network measurement, virtualization and cloud computing.

Hassan Takabi, University of North Texas

Hassan Takabi is Assistant Professor of Computer Science and Engineering at the University of North Texas, Denton, TX, USA. He is director and founder of the INformation Security and Privacy: Interdisciplinary Research and Education (INSPIRE) Lab and a member of the Center for Information and Computer Security (CICS). His research is focused on various aspects of cybersecurity and privacy including advanced access control models, insider threats, cloud computing security, mobile privacy, privacy and security of online social networks, and usable security and privacy. He is a member of ACM and IEEE.


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Multi-Objective Response to Co-Resident Attacks in Cloud Environment
How to Cite
Abazari, F., Analoui, M., & Takabi, H. (2018, February 17). Multi-Objective Response to Co-Resident Attacks in Cloud Environment. International Journal of Information & Communication Technology Research, 9(3), 25-36. Retrieved from