Computational Red Teaming

This website introduces computational red teaming and provides links to papers to resources on the concept

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Video with Basic Concepts

This webpage and most recent work on CRT are the outcome of an Asutralian Research Council (ARC) Discovery Project DP140102590 

Find Papers on CRT from Scholar.Google by Clicking Here

Related Publications

  1. Abbass H.A., Scholz J and Reid D. (2018) Foundations of Trusted Autonomy, Springer.  ISBN (Hard Cover) 978-3-319-64815-6 , (EBook) 978-3-319-64816-3,  DOI:10.1007/978-3-319-64816-3.  [Open Access, Click on the Title to download] 
  2. Abbass H.A. (2015) Computational Red Teaming: Risk Analytics of Big-Data-to-Decisions Intelligent Systems, Springer International Publishing Switzerland. ISBN 978-3-319-08280-6 (Hard Cover), 978-3-319-08281-3 (EBook), ISBN-10 3319082809,  DOI:10.1007/978-3-319-08281-3. [Book on Springer Website]
  3. Tang, J., Leu, G. and Abbass, H.A. (2018) Networking the Boids is More Robust Against Adversarial Learning, IEEE Transactions on Network Science and Engineering. 5(2), 141-155. DOI: 10.1109/TNSE.2017.2745108
  4. Wang, K., Bui, V., Petraki, E. and Abbass, H.A. (2018) Human-Guided Evolutionary Story Narration. IEEE Access, vol 6, 13783-13802. DOI: 10.1109/ACCESS.2018.2797879Open Access Full Paper available for Download for Free]
  5. Wang S.L., Shafi K., Ng T.F., Lokan C., Abbass H.A. (2017) Contrasting Human and Computational Intelligence Based Autonomous Behaviors in a Blue-Red Simulation Environment. IEEE Transactions on Emerging Topics in Computational Intelligence, 1(1), 27-40. DOI:10.1109/TETCI.2016.2641929. [Open Access Full Paper available for Download for Free]
  6. Shafi K., Abbass H.A. (2017) A Survey of Learning Classifier Systems in Games. IEEE Computational Intelligence Magazine, 12, 42 - 55. DOI:10.1109/MCI.2016.2627670. [PDF File]
  7. Abbass, H. A., Leu, G., and Merrick, K. (2016). A Review of Theoretical and Practical Challenges of Trusted Autonomy in Big Data. IEEE Access, 4, 2808-2830. DOI:10.1109/access.2016.2571058. [Open Access Full Paper available for Download for Free]
  8. Abbass H.A., Petraki E., Merrick K., Harvey J., and Barlow M. (2016) Trusted Autonomy and Cognitive Cyber Symbiosis: Open Challenges. Cognitive Computation, 8(3), 385-408. 10.1007/s12559-015-9365-5.[Open Access Full Paper available for Download for Free]
  9. Abbass H.A., Greenwood G., and Petraki E. (2016) The N-Player Trust Game and its Replicator Dynamics. IEEE Transactions on Evolutionary Computation, 20(3), 470-474,. DOI:10.1109/TEVC.2015.2484840. [PDF File]
  10. Leu, G. and Abbass, H.A. (2016) A Multi-Disciplinary Review of Knowledge Acquisition Methods: From Human to Autonomous Eliciting Agents. Knowledge-Based Systems, 105, 1-22, August. DOI:10.1016/j.knosys.2016.02.012.
  11. Abbass H.A., Tang J., Amin R., Ellejmi M., Kirby S. (2014) The computational air traffic control brain: Computational red teaming and big data for real-time seamless brain-traffic integration. Journal of Air Traffic Control, vol. 52, no. 2, pp. 10-17.
  12. Alam S., Lokan C., Aldis G., Barry S., Butcher R., and Abbass H.A. (2013) Systemic Identification of Airspace Collision Risk Tipping points using an Evolutionary Multi-Objective Scenario-based Methodology. Transportation Research Part C, Elsevier, vol. 35, pp. 57 - 84.
  13. Zhao W., Alam S. and Abbass H.A. (2013) Evaluating Ground-Air Network Vulnerability in an Integrated Terminal Maneuvering Area Using Co-evolutionary Computational Red Teaming. Transportation Research Part C, Elsevier, 29(4), 32-54.
  14. Shafi K., Bender A., Zhong W., and Abbass H.A. (2012) Spatio-Temporal Dynamics of Security Investments in an Interdependent Risk Environment. Physica A: Statistical Mechanics and its Applications, 391(20), 5004-5017
  15. Bui L., Abbass H.A., Barlow M., and Bender A. (2012) Robustness Against the Decision-Maker's Attitude to Risk in Problems with Conflicting Objectives. IEEE Transactions on Evolutionary Computation, 16(1), 1-19.
  16. Abbass H.A. and Petraki E. (2011) The Causes for No Causation: A Computational Perspective. Information Knowledge Systems Management, IOS Press, Information €¢ Knowledge €¢ Systems Management, 10 (1-4), 51-74.
  17. Abbass H.A., Bender A., Gaidow S., and Whitbread P. (2011) Computational Red Teaming: Past, Present and Future. IEEE Computational Intelligence Magazine, IEEE Press, Volume 6, February 2011, Pages 30-42.
  18. Abbass H.A., Alam S., and Bender A. (2009) MEBRA: Multiobjective Evolutionary Based Risk Assessment. IEEE Computational Intelligence Magazine, IEEE Press, Volume 4, 29-36. [Impact factors 2.622]
  19. Quek H.Y., Tan K.C., and Abbass H.A. (2009) Evolutionary Game Theoretic Approach for Modeling Civil Violence. IEEE Transactions on Evolutionary Computation, 13(4), Pages 1-21.
  20. Bui L.T., Barlow M. and Abbass H.A. (2009) A Multiobjective Risk-based Framework for Mission Capability Planning. New Mathematics and Natural Computation, World Scientific, 5(2), pp 459-485.
  21. Ghoneim A., Abbass H.A. and M. Barlow (2008), Characterizing Game Dynamics in 2-Player Strategy Games Using Network Motifs. IEEE Transactions on Systems, Man, Cybernetics, Part B, vol 38(3), 682-690.
  22. Yang A., Abbass H.A., and Sarker R (2006). Characterizing Warfare in Red Teaming. IEEE Transactions on Systems, Man, Cybernetics, Part B, 36(1), 268-285.
  23. Tang J., Petraki E., Abbass H.A. (2016) Shaping Influence and Influencing Shaping: A Computational Red Teaming Trust-based Swarm Intelligence Model. International Conference on Swarm Intelligence, Bali, Indonesia, Springer International Publishing. 9712: 14-23. [Awarded Best Paper]
  24. Leu, G., & Abbass, H. (2016). Computational Red Teaming in a Sudoku Solving Context: Neural Network Based Skill Representation and Acquisition. In Intelligent and Evolutionary Systems (pp. 319-332). Springer International Publishing.
  25. Wang B., Merrick K. and Abbass H.A. (2015) Autonomous Hypothesis Generation as Environment Learning Mechanism for Agent Design, LNCS 8955, Springer, 210-225.
  26. Petraki E. and Abbass H.A. (2014) On Trust and Influence: A Computational Red Teaming Game Theoretic Perspective. IEEE Computational Intelligence in Defence and Security Symposium, Hanoi, December 2014.[PDF File]
  27. Rubai A., Tang J., Ellejmi M., Kirby S., and Abbass H.A. (2013) Computational Red Teaming for Correction of Traffic Events in Real Time Human Performance Studies, USA/Europe ATM R&D Seminar, Chicago, IL, USA,2013
  28. Bui V., Bender A. and Abbass H.A. (2012) An Expressive GL-2 Grammar for Representing Story-like Scenarios, IEEE Congress on Evolutionary Computation, Brisbane, Australia.
  29. Xiong J., Shafi K. and Abbass H.A. (2012) Multi-Uncertainty Problems (MUP) with Applications to Managing Risk in Resource-Constrained Project Scheduling. IEEE Congress on Evolutionary Computation, , Brisbane, Australia.
  30. Alam S., Zhao W., Tang J., Lokan C., Abbass H.A., Ellejmi M. and Kirby S. (2011) Discovering Delay Patterns in Arrival Traffic with Dynamic Continuous Descent Approaches using Co-Evolutionary Red Teaming, 9th USA/EUROPE Air Traffic Management Research & Development Seminar (ATM R&D Seminar), Berlin, Germany, June 2011. [Awarded Best Paper, Ground-Air Track]
  31. Ghoneim A., Essam D., and Abbass H.A. (2011) Competency Awareness in Strategic Decision Making, IEEE Conference on Cognitive Methods in Situation Awareness and Decision Support, Florida, USA, February, 2011.
  32. Shafi K., Bender A. and Abbass H.A. (2010) Evolutionary Dynamics of Interdependent Exogenous Risks, IEEE Congress on Evolutionary Computation, Barcelona, Spain.
  33. Hossain M.M., Abbass H.A., Lokan C. and Alam S. (2010) Adversarial Evolution: Phase Transition in Non-uniform Hard Satisfiability Problems, IEEE Congress on Evolutionary Computation, Barcelona, Spain.
  34. Zhao W., Liu J., Abbass H.A. and Bender A. (2010) A Multi-objective Risk-Based Approach for Airlift Task Scheduling Using Stochastic Bin Packing, IEEE Congress on Evolutionary Computation, Barcelona, Spain.
  35. Bui V., Abbass H.A. and Bender A. (2010) Evolving Stories: Grammar Evolution for Automatic Plot Generation, IEEE Congress on Evolutionary Computation, Barcelona, Spain.
  36. Bui V.Q., Bui L.T., Abbass H.A., Bender A. and Ray P. (2009). On the Role of Information Networks in Logistics: An Evolutionary Approach with Military Scenarios, IEEE Congress on Evolutionary Computation (CEC), Norway.
  37. Alam S., Tang J., Abbass H.A. and Lokan C.J. (2009) The effect of symmetry in representation on scenario-based risk assessment for air-traffic conflict resolution strategies, IEEE Congress on Evolutionary Computation (CEC), Norway.
  38. Alam, S., Abbass, H.A., Lokan C.J. (2009) Computational Red Teaming to Investigate Failure Patterns in Medium Term Conflict Detection, 8th Eurocontrol Innovation Research Workshop and Conference, Eurocontrol Experiment Research Center, Paris, France.
  39. Abbass H.A., Bender A., Dam H., Baker S., Whitacre J. and Sarker R. (2008), Computational Scenario-based Capability Planning, Genetic and Evolutionary Computation Conference (GECCO), Atlanta, Georgia, ACM Press.
  40. Whitacre J., Abbass H.A., Sarker R., Bender A. and Baker S. (2008) Strategic Positioning in Tactical Scenario Planning, Genetic and Evolutionary Computation Conference (GECCO), Atlanta, Georgia, ACM Press.
  41. Barlow M., Yang A. and Abbass H.A. (2007) A Temporal Risk Assessment Framework for Planning A Future Force Structure, IEEE Symposium on Computational Intelligence in Defence and Security Applications (CIDSA), Honolulu, 1-4 April.
  42. Alam S., Shafi K., Abbass H.A., and Barlow M. (2007) Evolving Air Traffic Scenarios for the Evaluation of Conflict Detection Models, 6th Eurocontrol Innovative Research Workshop, Eurocontrol Experimental Centre, France, Dec 4-6, 2007.
  43. Goh C.K., Quek H.Y., Tan K.C., and Abbass H.A. (2006) Modeling Civil Violence: An Evolutionary Multi-Agent, Game Theoretic Approach, The IEEE Congress on Evolutionary Computation (CEC2006), Vancouver, BC, Canada, IEEE-Press, 1624-1631.
  44. Yang A., Abbass H.A., and Sarker R. (2006) Land Combat Scenario Planning: A Multiobjective Approach, 6th International Conference on Simulated Evolution and Learning (SEAL'06), LNCS 4247, Hefei, China, pp. 837-844
  45. Yang A., Abbass H.A. and Sarker R. (2005). WISDOM-II: A Network Centric Model for Warfare. Ninth International Conference on Knowledge-Based Intelligent Information & Engineering Systems (KES 2005), Lecture Note Computer Science LNCS 3683, Melbourne, Australia, pp. 813-819.
  46. Yang A., Abbass H.A., and Sarker R. (2005) Risk Assessment of Capability Requirements Using WISDOM-II, The International Society for Optical Engineering (SPIE), Microelectronics, MEMS, and Nanotechnology Symposium, Complex Systems Conference, Brisbane, Qld, 2005.
  47. Yang A., Abbass H.A. and Sarker R. (2005) Evolving Agents for Network Centric Warfare. Second Workshop on Military and Security Applications of Evolutionary Computation, Washington D.C., ACM Press, 2005.
  48. Yang A., Abbass H.A. and Sarker R. (2004) Landscape Dynamics in Multi-agent Simulation Combat Systems, The 17th Australian Joint Conference on Artificial Intelligence, Lecture Notes in Artificial Intelligence, LNAI 3339, Springer-Verlag, 39-50.
  49. Wang, K., Petraki, E., and Abbass, H. (2016). Evolving Narrations of Strategic Defence and Security Scenarios for Computational Scenario Planning. In Recent Advances in Computational Intelligence in Defense and Security (pp. 635-661). Springer International Publishing.
  50. Zhao, W, Tang, J, Alam, S, Bender, A, Abbass H.A. (2010) Evolutionary-Computation Based Risk Assessment of Aircraft Landing Sequencing Algorithms, IFIP Advances in Information and Communication Technology, Vol 329/2010, 254-265, Springer.
  51. Bui L.T., Bender A., Barlow M., and Abbass H.A. (2010) Multiagent-Based Approach for Risk Analysis in Mission Capability Planning. In R. Sarker and R. Tapabrata (Eds): Agent-Based Evolutionary Search, Adaptation, Learning and Optimization Series, Vol 5, 77-96.
  52. Baker S., Bender A., Abbass H.A., and Sarker R. (2007) A Scenario-based Evolutionary Scheduling Approach for Assessing Future Supply Chain Fleet Capabilities, In Evolutionary Scheduling, K. Dahal, K.C. Tan and P. Cowling (eds.), Studies in Computational Intelligence Series, Springer, Volume 49/2007, pages 485-512, ISBN 978-3-540- 48582-7.