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Mitigating Threats and Security Metrics in Cloud Computing 원문보기

Journal of information processing systems, v.12 no.2, 2016년, pp.226 - 233  

Kar, Jayaprakash (Dept. of Information Systems, Faculty of Computing & Information Technology, Information Security Research Group, King Abdulaziz University) ,  Mishra, Manoj Ranjan (School of Computer Application, KIIT University)

Abstract AI-Helper 아이콘AI-Helper

Cloud computing is a distributed computing model that has lot of drawbacks and faces difficulties. Many new innovative and emerging techniques take advantage of its features. In this paper, we explore the security threats to and Risk Assessments for cloud computing, attack mitigation frameworks, and...

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제안 방법

  • It enables the identification of the countermeasures, which achieve an acceptable tradeoff between the residual risk and the corresponding defense cost. In evaluating the performance of different defensive strategies four metrics were considered: ROA at the root, the risk at the root, the attack cost, and the ROI. The development of access control systems for cloud computing is of great importance because these systems are fundamental to enabling the security of these environments [11].
  • For large-scale open networks identifying the attack profile, predicting the likelihood of a successful attack, and estimating the cost of appropriate countermeasures represents a significant challenge. The aim in solving the TRA problem is to identify a feasible set of defense solutions that are subject to certain constraints (e.g., a limitation on the defense cost). Our iADTree mechanism recognizes two basic types of events: attack events and defense events.
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참고문헌 (11)

  1. D. V. Bernardo, "Utilizing security risk approach in managing cloud computing services," in Proceedings of 2013 16th International Conference on Network-Based Information Systems (NBiS), Gwangju, Korea, 2013, pp. 119-125. 

  2. E. Datta and N. Goyal, "Security attack mitigation framework for the cloud," in Proceedings of 2014 Annual Reliability and Maintainability Symposium (RAMS), Colorado Springs, CO, 2014, pp. 1-6. 

  3. D. R. Dos Santos, C. Merkle Westphall, and C. Becker Westphall, "A dynamic risk-based access control architecture for cloud computing," in Proceedings of 2014 IEEE Network Operations and Management Symposium (NOMS), Krakow, Poland, 2014, pp. 1-9. 

  4. P. Wang, K. M. Chao, and C. C. Lo, "A novel threat and risk assessment mechanism for security controls in service management," in Proceedings of 2013 IEEE 10th International Conference on e-Business Engineering (ICEBE), Coventry, UK, 2013, pp. 337-344. 

  5. I. Kotenko and E. Doynikova, "Security metrics for risk assessment of distributed information systems," in Proceedings of 2013 IEEE 7th International Conference on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS), Berlin, 2013, pp. 646-650. 

  6. J. Kar, "Provably secure online/off-line identity-based signature scheme for wireless sensor network," IJ Network Security, vol. 16, no. 1, pp. 29-39, 2014. 

  7. M. R. Mishra, J. Kar, and B. Majhi, "Practical deployment of one-pass key establishment protocol on wireless sensor networks," International Journal of Pure and Applied Mathematics, vol. 100, no. 4, pp. 531-542, 2015. 

  8. J. Kar, "A novel construction of certificateless signcryption scheme for smart card," in Case Studies in Secure Computing Achievements and Trends. Boca Raton, FL: Taylor and Francis, 2014, pp. 437-456. 

  9. P. K. Manadhata and J. M. Wing, "An attack surface metric," IEEE Transactions on Software Engineering, vol. 37, no. 3, pp. 371-386, 2011. 

  10. B. Grobauer, T. Walloschek, and E. Stocker, "Understanding cloud computing vulnerabilities," IEEE Security & Privacy, vol. 9, no. 2, pp. 50-57, 2011. 

  11. D. V. Bernardo, "Security risk assessment: toward a comprehensive practical risk management," International Journal of Information and Computer Security, vol. 5, no. 2, pp. 77-104, 2012. 

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