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Publications:

Books Editorials Journal Articles Conference Papers Technical Reports Theses Datasets

Please note that the publications made available below are either the preprint or the non-edited versions. Refer to the corresponding journals and online databases for the final versions of these papers.

• • Books

    1. Shafi, K.(2009), Online and Adaptive Signature Learning for Intrusion Detection VDM Verlag, ISBN 978-3-639-13630-2.

• 1. Niven R.K., Brewer, B., Paull, D., Shafi K. & Stokes B. (eds) (2014), 33rd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2013), Canberra, Australia, 15-20 December 2013, AIP Conf. Proc. 1636, Melville USA, ISBN: 978-0-7354-1275-0, http://scitation.aip.org/content/aip/proceeding/aipcp/1636.

• • Editorials

• 1. Jiankun, H., ZeadAlly, S., Merrick, K., and Shafi, K. (2016), Special issue on CyberWarfare, Future Internet, 8(3), 1, MDPI, Open Access.

  2. Kovacs, T., Iqbal, M., Shafi, K., Urbanowicz, R. and Iqbal, M. (2015), Special issue on the 20th anniversary of XCS, Evolutionary Intelligence, 8(2-3), 55-56, Springer, Online@.

  3. Shafi, K., Urbanowicz, R. and Iqbal, M. (2013), Special issue on advances in Learning Classifier Systems, Evolutionary Intelligence, 6(2), 55-56, Springer, Online@.

• • Journal Articles

• 1. Debie, E. and Shafi, K. (2017), Implications of the Curse of Dimensionality for Supervised Learning Classifier Systems: Theoretical and Empirical Analysis, Pattern Analysis and Applications, Springer, (accepted 30 July 2017).

     1. Abdelbari, H. and Shafi, K. (2017), A computational Intelligence-based Method to ‘Learn’ Causal Loop Diagram-like Structures from Observed Data, System Dynamics Review, Online@

     2. Zhang, B. Shafi, K. and Abbass, H. A. (2017), On Benchmark Problems and Metrics for Decision Space Performance Analysis in Multi-Objective Optimization, International Journal of Computational Intelligence and Applications, 15(5), 1750006 (18 pages), World Scientific Publishing Europe Ltd.

     3. Shafi, K. and Abbass, H. A. (2017), A Survey of Learning Classifier Systems in Games, IEEE Computational Intelligence Magazine, 12(1), 42-55.

  2. Wang, S., Shafi, K., Lokan, C. and Abbass, H. A. (2017), Contrasting Human and Computational Intelligence Based Autonomous Behaviours in a Blue-Red Simulation Environment, IEEE Transactions on Emerging Topics in Computational Intelligence, PP(99), 1-1.

  3. Debie, E., Shafi, K., Merrick, K., and Lokan, C. (2016), On Taxonomy and Evaluation of Feature Selection based Learning Classifier System Ensemble Approaches for Data Mining Problems, Computational Intelligence, Wiley, Online@.

  4. Shafi, K., Elsayed, S., Sarker, R. and Ryan, M. (2016), Scenario-based Multi-Period Program Optimization for Capability Based Planning using Evolutionary Algorithms, Applied Soft Computing, Elsevier, Online@.

  5. Shafi, K., Debie, E., Oliver, D. (2016), Historical Operational Data Analysis for Defence Preparedness Planning, Journal of Defense Modeling and Simulation, SAGE, Online@.

  6. Quade, M., Abel, M., Shafi, K., Niven, R.K., and Noack, B.R. (2016), Prediction of dynamical systems by symbolic regression, Phys. Rev. E, 94, APS, Online@.

  7. Merrick, K., Hardhienata, M., Shafi, K. and Hu, J. (2016), A Survey of Game Theoretic Approaches to Modelling Decision-Making in Information Warfare Scenarios, Future Internet, MDPI, Online@.

  8. Merrick, K. and Shafi, K. (2013), A Game Theoretic Framework for Incentive-Based Models of Intrinsic Motivation in Artificial Systems, Frontiers in Cognitive Science, 4:791, Frontiers, Online@.

  9. Debie, E., Shafi, K., Lokan, C., and Merrick, K. (2013), Performance analysis of rough set ensemble of learning classifier systems with differential evolution based rule discovery, Evolutionary Intelligence, 6(2), 109-126, Springer, Online@.

  10. Wang, S., Shafi, K., Lokan, C. and Abbass, H. A. (2013), An Agent based Model to Simulate and Analyse Behaviour under Noisy and Deceptive Information, Adaptive Behavior, 21(2), SAGE, Online@.

  11. Shafi, K. and Abbass, H. A. (2013), Evaluation of an Adaptive Genetic-Based Signature Extraction System for Network Intrusion Detection, Pattern Analysis and Applications, 16(4), 549-566, Springer, Online@.

  12. 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, Online@.

  13. Merrick, K. and Shafi, K. (2011), Achievement, Affiliation and Power: Motive Profiles for Artificial Agents, Adaptive Behavior, 19(1), 40-62, SAGE.

  14. Wang, S., Shafi, K., Lokan, C. and Abbass, H. A. (2010), Adversarial Learning: the impact of Statistical Sample Selection Techniques on Neural Ensembles, Evolving Systems, 1(3), 181-197, Springer.

  15. Shafi, K. and Abbass, H. A. (2009), An Adaptive Genetic-Based Signature Learning System for Intrusion Detection, Expert Systems with Applications, 36(10), 12036-12043, Elsevier.

  16. Alam, S., Shafi, K., Abbass, H. A. and Barlow, M. (2009), An Ensemble Approach for Conflict Detection in Free Flight by Data Mining, Journal of Transportation Research Part-C: Emerging Technologies, 17(3), 298-317, Elsevier.

  17. Shafi, K., Kovacs, T., Abbass, H. A. and Zhu, W. (2009), Intrusion Detection with Evolutionary Learning Classifier Systems, Natural Computing, 8(1), 3-27, Springer.

  18. Shafi, K. and Abbass, H. A. (2007), Biologically-inspired Complex Adaptive Systems approaches to Network Intrusion Detection Information Security Technical Report, 12(4), 209-217, Elsevier.

• • Conference Paper

• 1. Shafi, K. (2017), A Machine Competence based Analytical Model to Study Trust Calibration in Supervised Autonomous Systems, in Proceedings of the 9th International Conference on Advanced Computational Intelligence (ICACI2017), Doha, Qatar, 4-6 Feb 2017.

  2. Abdelbari, H. and Shafi, K. (2017), A Genetic Programming Ensemble Method for Learning Dynamical System Models, in Proceedings of the The 8th International Conference on Computer Modeling and Simulation, Canberra, Australia, 20-23 January 2017.

  3. Likic, V. and Shafi, K. (2016), Battlespace Mobile/Ad Hoc Communication Networks: Performance, Vulnerability and Resilience, in 24th National Conference of the Australian Society for Operations Research (ASOR16), 16-18 November 2016, Canberra.

  4. Merrick, K., Hardhienata, M., Shafi, K. and Hu, J. (2016) Using Game Theory with Intrinsic Motivation to Examine Anti-Hacking Policies for Autonomous Systems, IEEE Symposium Series on Computational Intelligence (SSCI 2016), Athens, Greece, 6-9 December, 2016.

  5. Abdelbari, H. and Shafi, K. (2016), Optimising a constrained echo state network using evolutionary algorithms for learning mental models of complex dynamical systems, in the Proceedings of the 2016 International Joint Conference on Neural Networks (IJCNN 2016), Vancouver, Canada, 24-29 July 2016.

  6. Zhang, B. Shafi, K. and Abbass, H. A. (2016), Hybrid Knowledge-based Evolutionary Many-Objective Optimization, accepted to be published in the proceedings of the 2016 IEEE Congress on Evolutionary Computation (IEEE CEC 2016), Vancouver, Canada, 24-29 July 2016.

  7. Ghoneim, A. and K. Shafi, The Effect of Risk Perceived Payoffs in Iterated Interdependent Security Games, Artificial Life and Computational Intelligence (ACALCI 2016), LNCS 9592, 348-359.

  8. Abdelbari, H., El-Sawah, S. and Shafi, K. (2015), Model learning using genetic programming under full and partial system information conditions, In the Proceedings of the International Conference of the System Dynamics Society, Cambridge, Massachusetts, July 19-23, 2015.

  9. Shafi, K. and Abbass, H. A. (2014), Analysis of Online Signature Based Learning Classifier Systems for Noisy Environments: A Feedback Control Theoretic Approach, Simulated Evolution and Learning, LNCS 8886, 395-406.

  10. Zhang, B. Shafi, K. and Abbass, H. A. (2014), Online Knowledge-based Evolutionary Multi-Objective Optimization, In the proceedings of the 2014 IEEE Congress on Evolutionary Computation (IEEE CEC 2014), 6-11 July 2014, Beijing, China.

  11. Debie, E., Shafi, K., Lokan, C., and Merrick, K. (2014), An Online Evolutionary Rule Learning Algorithm with Incremental Attribute Discretization, In the proceedings of the 2014 IEEE Congress on Evolutionary Computation (IEEE CEC 2014), 6-11 July 2014, Beijing, China.

  12. RK Niven, M Abel, M Schlegel, BR Noack, SH Waldrip, HA Abbass, K Shafi (2013), Maximum Entropy Analysis of Flow Networks, The 33rd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2013), 15-20 December 2013, Canberra, Australia.

  13. SH Waldrip, RK Niven, M Abel, M Schlegel, BR Noack, HA Abbass, K Shafi (2013), Maximum Entropy Analysis of Hydraulic Pipe Networks, The 33rd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2013), 15-20 December 2013, Canberra, Australia.

  14. Cowen, B. and Shafi, K. (2013), Fractal methods for the representation and analysis of polymorphism in malware, In the proceedings of the 2013 Military Communications and Information Systems Conference (MilCIS), 12-14 November 2013, Canberra, Australia.

  15. Debie, E., Shafi, K., Lokan, C. (2013), REUCS-CRG: Reduct based Ensemble of sUpervised Classifier System with Combinatorial Rule Generation for Data Mining, In the proceedings of the Sixteenth International Workshop on Learning Classifier Systems (IWLCS 2013), 6-10 July 2013, Amsterdam, Netherlands.

  16. Debie, E., Shafi, K., Lokan, C., and Merrick, K. (2013), Investigating Differential Evolution Based Rule Discovery in Learning Classifier Systems, In the proceedings of the 2013 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2013), 16-19 April 2013, Singapore.

  17. Debie, E., Shafi, K., Lokan, C., and Merrick, K. (2013), Reduct Based Ensemble of Learning Classifier System for Real-Valued Classification Problems, In the proceedings of the 2013 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2013), 16-19 April 2013, Singapore.

  18. Zhang, B. Shafi, K. and Abbass, H. A. (2012), Robo-Teacher: A Computational Simulation Based Educational System to Improve Cyber Security, In the proceedings of the 1st International Conference on Robot Intelligence Technology and Applications (RiTA 2012), 16-18 December 2012, Gwangju, Korea.

  19. Wang S., Shafi, K., Lokan C. and Abbass, H. A. (2012), Neuro-evolution of Escape Behaviour under High Level of Deception and Noise, In the proceedings of the 1st International Conference on Robot Intelligence Technology and Applications (RiTA 2012), 16-18 December 2012, Gwangju, Korea.

  20. Shafi, K., Bender, A. and Abbass, H. A. (2012), Multi Objective Learning Classifier Systems Based Hyperheuristics for Modularised Fleet Mix Problem, In the proceedings of the Ninth International Conference on Simulated Evolution And Learning (SEAL 2012), LNCS 7673, 16-19 December 2012, Ha Noi, Vietnam.

  21. Shafi, K., Merrick, K. and Debie, E. (2012), Evolution of Intrinsic Motives in Multi-Agent Simulations, In the proceedings of the Ninth International Conference on Simulated Evolution And Learning (SEAL2012), LNCS 7673, 16-19 December 2012, Ha Noi, Vietnam.

  22. Zhang, B. Shafi, K. and Abbass, H. A. (2012), Density Based Multi-Objective Optimization for Smart Distribution Grid Design, In the proceedings of the Ninth International Conference on Simulated Evolution And Learning (SEAL 2012), LNCS 7673, 16-19 December 2012, Ha Noi, Vietnam.

  23. Xiong, J., Shafi, K. and Abbass, H. A. (2012), Multi-Uncertainty Problems (MUP) with Applications to Managing Risk in Resource-Constrained Project Scheduling, In the proceedings of the IEEE World Congress on Computational Intelligence (WCCI 2012), July 2012, Brisbane, Australia.

  24. Shafi, K., Bender, A. and Abbass, H. A. (2011), Fleet Estimation for Defence Logistics Using a Multi-Objective Learning Classifier System, In the proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2011), July12-16 2011, Dublin, Ireland.

  25. Merrick, K., Shafi, K. and Isaacs, A. (2011), Using Approach-Avoidance Motivation to Model Adaptive Social-Forces in Artificial Agents, the Adaptive and Learning Agents 2011 workshop (ALA-11), May 2 2011,Taipei, Taiwan.

  26. Shafi, K. and Merrick, K. (2011), A Curious Agent for Network Anomaly Detection, In the proceedings of the 10th International Conference on Autonomous Agents and Multi Agent Systems (AAMAS), May 2 2011, Taipei, Taiwan.

  27. Merrick, K., Gu N., Niazi M. and Shafi, K. (2011), Motivation, Cyberworlds and Collective Intelligence in Design, In the proceedings of the 16th International Conference on Computer-Aided Architectural Design Research in Asia CAADRIA 2011, New Castle, Australia.

  28. Shafi, K., Bender, A. and Abbass, H. A. (2010), Evolutionary Dynamics of Interdependent Exogenous Risks, In the proceeding of the IEEE Congress on Evolutionary Computation (CEC 2010) 18-23 July, Spain, Barcelona.

  29. Wang S., Shafi, K., Lokan C. and Abbass, H. A. (2010), Robustness of Neural Ensembles Against Targeted and Random Adversarial Learning, In the proceeding of the FUZZ-IEEE 2010, Spain, Barcelona.

  30. Merrick, K. and Shafi, K. (2010), Agent Models for Self-Motivated Home Assistant Bots, American Institute of Physics Conference Series, 1210, pp. 131-150.

  31. Alam, S., Shafi, K., Abbass, H. A. and Barlow, M. (2007), Evolving Air Traffic Scenarios for the Evaluation of Conflict Detection Models, In the proceedings of the 6th Eurocontrol Innovation Research Workshop and Conference, Paris, France, 2007.

  32. Shafi, K., Abbass, H. A. and Zhu, W. (2007), Real Time Signature Extraction From A Supervised Classifier System, In Proceeding of the IEEE Congress on Evolutionary Computation, CEC 2007, 25-28 Sept., 2007, pp. 2509-2516.

  33. Shafi, K., Abbass, H. A. and Zhu, W. (2006), An Adaptive Rule-based Intrusion Detection Architecture, In the proceedings of the RNSA Security Technology Conference, Canberra, Australia, 19-21 Sept., 2006, pp. 345-355.

  34. Shafi, K., H. A. Abbass, and Zhu, W. (2006), The Role of Early Stopping and Population Size in XCS for Intrusion Detection, In the proceedings of the 6th International Conference on Simulated Evolution and Learning, LNCS 4247, pp. 50-57, Springer, Heidelberg.

  35. Dam, H. H., Shafi, K. and Abbass, H. A. (2005), Can Evolutionary Computation Handle Large Datasets? A Study into Network Intrusion Detection, In the proceedings of the 18th Australian Joint Conference on Artificial Intelligence, LNCS 3809, pp. 1092-1095. Springer, Heidelberg.

• • Theses

    1. Shafi, K. (2008), An adaptive genetic-based signature learning system for intrusion detection, PhD Thesis, School of ITEE, UNSW@ADFA.

  • Technical Reports

• • 1. Shafi, K., Abbass, H. A. (2007), A Temporal Network Mining Approach for Knowledge Discovery in Databases, School of ITEE, UNSW@ADFA, TR-ALAR-200712012.

• • Datasets

• • 1. The fully labelled TCP dataset used for evaluation in Shafi, K. and Abbass, H. A. (2011).

    2. The full dataset derived from about a month's background traffic and simulated attacks..

Distinctions

• 1. The Stephen Fester Prize for the most outstanding thesis on an information technology topic by a postgraduate research student in the School of ITEE at UNSW Canberra, Australia.

  2. Merit scholarship awarded to top performing students in B.Sc. Electrical Engineering NWFP University of Engineering and Technology Pakistan

Research Grants:

• 1. Merrick, K., Shafi, K. (CI), Hu, J., (2015) A game theoretic approach to modelling the effects of intrinsic motivation on decision-making in information warfare scenarios. The Australian Centre for Cyber Security (ACCS) Research Funding Program. A$55,000.

  2. Shafi, K. (2014) Analysing effect of risk attitude on decision making in interdependent risk environments using an evolutionary game-theoretic approach. Rector’s Startup Grant, A$10,000.

  3. Shafi, K. (2014) Predicting ADF’s future operational requirements through historical operational data analysis, SEIT-Linkage Project Scheme, A$30,000 (including $10K from Department of Defence, Preparedness Planning Branch).

  4. Abbassi, A., Shafi, K. and Abedin, B. (2014) Harnessing Crowdsourcing Capabilities of Social Media for Disaster Knowledge Management: Investigating locals' needs during Natural Disasters, UNSW@ADFA Early Career Researcher Grant Scheme (ECR), A$29,970.

  5. (UNSW Australia team) Niven, R., Abbass, H. and Shafi, K., (Potsdam University Germany Team) Abel, M., Michael, S. and Kolski, P. (2013-14) Maximum entropy analysis of flow, transport, chemical reaction & human networks, Group of Eight Australia – Germany Joint Research Co-operation Scheme, A$20,000.

  6. Shafi, K., Sarker, R., Ryan, M. and Hogan, T. (2013) Multi-objective Optimisation based Decision Support System for Improved DCP Program Management, Defence-related Research Funding Scheme (DRR), A$18,500.

  7. Merrick, K., Shafi, K. (2011) Agent-based game-theoretic models of human motivation for natural resource management, UNSW@ADFA Early Career Researcher Grant Scheme (ECR), A$24,620.

  8. Merrick, K., Shafi, K. (2010) Modelling Curious Agents as an Anomaly Detection Approach to Network Intrusion Detection, UNSW@ADFA Early Career Researcher Grant Scheme (ECR), A$32,500.

  9. Shafi, K. (2005-2008) University College Postgraduate Research Scholarship (UCPRS), Competitive Scholarship to Support PhD degree A$20,000 pa.

  10. Shafi, K. (2007) Business Services Overseas Travel Grant UNSW@ADFA, A$5,000.

Supervised Theses:

• • PhD Theses

    1. Abdelbari, H., "Computational Intelligence based Complex System Modelling", Full-time PhD, S1/2014-todate, UNSW Canberra, Principal Supervisor.

    2. Zhang, B., "Online Knowledge-Based Multi Objective Optimization", Full-time PhD, S2/2011-S1/2015, UNSW Canberra, Joint-Supervisor.

    3. Debie, E. S. Y. M., "Evolutionary Rule Learning for High Dimensional Classification Problems: Investigations and Remedies", Full-time PhD, S1/2011-S1/2014, UNSW Canberra, Joint-Supervisor.

    4. Wang, S., "Adversarial Learning through Red Teaming: Data to Behaviour", Full-time PhD, S2/2008-S2/2012, UNSW Canberra, Joint-Supervisor.

  • Master Theses

• • 1. Cowen, B., "Visualisation of Polymorphic Malware Using Methods from Chaos Theory and Probability Theory", MSc Project Thesis, S2/2012-S1/2013, UNSW Canberra, Principal Supervisor.

    2. McDougall, P., "Judicious use of Simulation in Support of a Human-based Technology-focused Seiminar", MSc Project Thesis, S1/2012-S2/2012, UNSW Canberra, Principal Supervisor.

    3. Aslam, P., "Information Security Management System in a Cloud Computing Environment: Towards A Unified Risk Assessment Framework", MSc Project Thesis, S2/2010, UNSW Canberra, Principal Supervisor.

• • Undergraduate Theses

• • 1. Implementation of sensor networks GRAB protocol in NS2 and scenario simulation, 2003-04, NIIT Pakistan

    2. Network Diagnostics and Recovery, 2003-04, NIIT Pakistan

    3. Fault Tolerant Network Diagnostics using Peer to Peer systems, 2003-04, NIIT Pakistan

    4. Interoperability of Windows and Linux operating system using Samba server, 2003-04, NIIT Pakistan