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DEMO: Action Recommendation for Cyber Resilience

Published: 12 October 2015 Publication History

Abstract

We demonstrate an unifying graph-based model for representing the infrastructure, behavior and missions of an enterprise. We introduce an algorithm for recommending resilience establishing actions based on dynamic updates to the models and show its effectiveness both through software simulation as well as live demonstration inside a cloud testbed. Our demonstrate will illustrate the effectiveness of the algorithm for preserving latency based quality of service (QoS).

Reference

[1]
S. Choudhury, P.-Y. Chen, L. Rodriguez, D. Curtis, P. Nordquist, I. Ray, and K. Oler. Action recommendation for cyber resilience. In Proceedings of the ACM workshop on Automated Decision Making for Active Cyber Defense (SafeConfig 2015), 2015.

Cited By

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  • (2023)Counterattacking Cyber Threats: A Framework for the Future of CybersecuritySustainability10.3390/su15181336915:18(13369)Online publication date: 6-Sep-2023
  • (2018)A Secure Hash Commitment Approach for Moving Target Defense of Security-critical ServicesProceedings of the 5th ACM Workshop on Moving Target Defense10.1145/3268966.3268969(59-68)Online publication date: 15-Oct-2018

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Published In

cover image ACM Conferences
CCS '15: Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications Security
October 2015
1750 pages
ISBN:9781450338325
DOI:10.1145/2810103
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 October 2015

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Author Tags

  1. cyber resilience
  2. cyber security
  3. recommendation engine

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  • Demonstration

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CCS'15
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Acceptance Rates

CCS '15 Paper Acceptance Rate 128 of 660 submissions, 19%;
Overall Acceptance Rate 1,261 of 6,999 submissions, 18%

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Cited By

View all
  • (2023)Counterattacking Cyber Threats: A Framework for the Future of CybersecuritySustainability10.3390/su15181336915:18(13369)Online publication date: 6-Sep-2023
  • (2018)A Secure Hash Commitment Approach for Moving Target Defense of Security-critical ServicesProceedings of the 5th ACM Workshop on Moving Target Defense10.1145/3268966.3268969(59-68)Online publication date: 15-Oct-2018

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