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Surviving advanced persistent threats in a distributed environment – Architecture and analysis

Author

Listed:
  • Ruchika Mehresh

    (The State University of New York)

  • Shambhu Upadhyaya

    (The State University of New York)

Abstract

Designing robust mission-critical systems demands bringing together fault tolerance and security. The emergence of Advanced Persistent Threats (APT) has further added to the challenge of meeting mission assurance goals. Despite the advances in mission survivability, the existing solutions remain ineffective against APTs. In this paper, we propose a novel survivability architecture against APTs in a distributed environment. It involves tamper-resistant and surreptitious detection and node-to-node verification of suspicious events. The solution aims to identify Attacker Intent, Objectives and Strategies (AIOS) and to design targeted recoveries that promote survivability. Its security strength has been theoretically analyzed, while the performance and scalability aspects are measured via simulation. Our simulations demonstrate high scalability with respect to network size and application runtime and the time overhead for long running applications can be easily kept under 1 % of original runtime by carefully adjusting the security strength.

Suggested Citation

  • Ruchika Mehresh & Shambhu Upadhyaya, 2015. "Surviving advanced persistent threats in a distributed environment – Architecture and analysis," Information Systems Frontiers, Springer, vol. 17(5), pages 987-995, October.
  • Handle: RePEc:spr:infosf:v:17:y:2015:i:5:d:10.1007_s10796-015-9569-y
    DOI: 10.1007/s10796-015-9569-y
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    Cited by:

    1. Chittaranjan Hota & Shambhu Upadhyaya & Jamal Nazzal Al-Karaki, 2015. "Advances in secure knowledge management in the big data era," Information Systems Frontiers, Springer, vol. 17(5), pages 983-986, October.
    2. Simona Bernardi & Lacramioara Dranca & José Merseguer, 2016. "A model-driven approach to survivability requirement assessment for critical systems," Journal of Risk and Reliability, , vol. 230(5), pages 485-501, October.

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