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Network Science and Cybersecurity pp 75–91Cite as

Understanding Cyber Warfare

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Part of the book series: Advances in Information Security ((ADIS,volume 55))

Abstract

The history of computing devices goes back to the invention of the abacus in Babylonia in the sixteenth century BC. In the three and a half millennia which followed, a variety of calculating devices were introduced, some of them stunningly sophisticated but all sharing a common limitation: a device could store data only as long as programs for the data manipulation remained in the mind of the user.

“It doesn’t matter how far ahead you see if you don’t understand what you are looking at.”

Garry Kasparov, 2007. How Life Imitates Chess. p. 50

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References

  1. J. Von Neumann, The First Draft Report on the EDVAC (United States Army Ordnance Department and the University of Pennsylvania, PA, 1945)

    Google Scholar 

  2. R. Trost, Practical Intrusion Analysis. Prevention and Detection for the Twenty-First Century. (Addison Wesley, 2010)

    Google Scholar 

  3. J. Andress, S. Winterfeld, Cyber Warfare: Techniques Tactics and Tools for Security Practitioners (Syngress, Amsterdam, 2011)

    Google Scholar 

  4. S. Cheung, U. Lindqvist, M.W. Fong, Modeling Multistep Cyber Attacks for Scenario Recognition, in Proceedings Third DARPA Information Survivability Conference and Exposition, vol. 1 Washington, DC, 2003, pp. 284–292

    Google Scholar 

  5. C. Tranchita, N. Hadjsaid, M. Visiteu, B. Rosel, R. Caire, ICT and power systems: An integrated approach. eds. by S. Lukszo, G. Deconinck, M.P.C. Wejnen, Securing Electricity Supply in the Cyber Age. Springer, 2010.

    Google Scholar 

  6. T. Ibaraki, N. Katoh, Resource Allocation Problems: Algorithmic Approaches (The MIT Press, Cambridge, 1988)

    MATH  Google Scholar 

  7. T.B. Sheridan, Telerobotics, Automation, and Human Supervisory Control (The MIT Press, Cambridge, MA, 1992)

    Google Scholar 

  8. Y.M. Yufik, T.B. Sheridan, Virtual nets: framework for operator modeling and interface optimization in complex supervisory control systems. Annu. Rev. Control 20, 179–195 (1996)

    Article  Google Scholar 

  9. Y.M. Yufik, T.B. Sheridan, Towards a Theory of Cognitive Complexity: Helping People to Steer Complex Systems Through Uncertain and Critical Tasks Report (NASA Ames Research Center, Moffett Field, 1995)

    Google Scholar 

  10. Y.M. Yufik, Memory, complexity, and control in biological and artificial systems (Proc. IEEE Intell. Syst., NIST, MD, 1996), pp. 311–318

    Google Scholar 

  11. S.A. Reveliotis, Real-Time Management of Resource Allocation Systems: A Discrete Event Systems Approach (Springer, New York, 2004)

    Google Scholar 

  12. S. Jajodia, S. Noel, B. O’Berry, Topological Analysis of Network Attack Vulnerability, in Managing Cyber Threats: Issues, Approaches and Challenges, ed. by V. Kumar, J. Srivastava, A. Lazarevic (Kluwer Academic Publisher, New York, 2005)

    Google Scholar 

  13. C. Phillips, L.P. Swiler, A graph-based system for network vulnerability analysis, in Proceedings of the Workshop on New Security Paradigms, 1998, pp. 71–79

    Google Scholar 

  14. N. Idika, B. Bhargava, Extending attack graph-based security metrics and aggregating their application. IEEE Trans. Dependable Secure Comput. 9(1), 75–84 (2012)

    Article  Google Scholar 

  15. L. Wang, A. Singhal, S. Jajodia, Measuring overall security of network configurations using attack graphs. Data Appl. Secur. XXI 4602, 98–112 (2007)

    Article  Google Scholar 

  16. S. Pudar, G. Manimaran, C. Liu, PENET: A practical method and tool for integrated modeling of security attacks and countermeasures. Comput. Secur. 28, 754–771 (2009)

    Article  Google Scholar 

  17. T. Sommestad, M. Ekstedt, P. Johnson, A probabilistic relational model for security risk analysis. Comput. Secur. 29(6), 659–679 (2010)

    Article  Google Scholar 

  18. Q. Wu, Z. Shao, Network Anomaly Detection Using Time Series Analysis. Autonomic and Autonomous Systems, in Proceedings of the International Conference Networking and Services, (ICAS-ICNS, 2005)

    Google Scholar 

  19. Y. Yasami, S.P. Mozaffari, S. Khorsandi, Stochastic Learning Automata-Based Time Series Analysis for Network Anomaly Detection, in Proceedings of the International Conference Telecommunications, St. Peter, 2008, pp. 1–6

    Google Scholar 

  20. D.H. Kim, T. Lee, S.O. Jung, H.J. Lee, H. Peter, Cyber Threat Trend Analysis Model Using HMM. (2007), http://embedded.korea.ac.kr/esel/paper/international/2007/1200703.pdf

  21. G. Dondossola, L. Pietre-Cambacedes, J. McDonald, M. Mathias Ekstedt, A. Torkilseng, Modeling of Cyber Attacks for Assessing Smart Grid Security (International Council on Large Electric Systems, Buenos Aires, Argentina, 2011)

    Google Scholar 

  22. S.T. Eckmann, G. Vign, R.A. Kemmerer, STATL: An attack language for state-based intrusion detection. http://www.cs.ucsb.edu/~vigna/publications/2000_eckmann_vigna_kemmerer_statl.pdf. 2000

  23. E. Cayirci, R. Ghergherehchi, Modeling Cyber Attacks and Their Effects on Decisions Process, in Proceedings 2011 Winter Simulation Conference, 2011, ed. by S. Jain, R.R. Creasey, J. Himmelspach, K.P. White, M. Fu, pp. 2632–2641

    Google Scholar 

  24. S. Noel, M. Jacobs, P. Kalapa, S. Jajodia, Multiple Coordinated Views for Network Attack Graphs, in Proceedings IEEE Workshop on Visualization for Computer Security, 2005, pp. 99–106

    Google Scholar 

  25. K. Lakkaraju, W. Yurcik, A. Lee, NVisionIP: NetFlow Visualizations of System State for Security Situational Awareness. in Proceedings CCS Workshop on Visualization and Data Mining for Computer Security, Fairfax, VA, 2004

    Google Scholar 

  26. S.J. Yang, A. Stotz, J. Holsopple, M. Sudit, M. Kuhl, High level information fusion for tracking and projection of multistage cyber attacks. Inf. Fusion 10, 107–121 (2009)

    Article  Google Scholar 

  27. M.R. Endsley, Toward a theory of situation awareness in dynamic systems. Hum. Factors 37(1), 32–64 (1955)

    Article  Google Scholar 

  28. H.A. Simon, Models of Thought, vol 1–2 (Yale University Press, New Haven, 1979), p. 2

    Google Scholar 

  29. N. Charness, Expertise in Chess: The Balance Between Knowledge and Search, in Toward a General Theory of Expertise: Prospects and Limits, ed. by K.A. Ericsson, J. Smith (Cambridge University Press, 1991), pp. 39–63

    Google Scholar 

  30. J.S. Judd , Neural Network Design and the Complexity of Learning, The MIT Press, 1998.

    Google Scholar 

  31. M.R. Endsley, Measurement of situation awareness in dynamic systems. Hum. Factors 37(1), 65–84 (1955)

    Article  Google Scholar 

  32. A.D. De Groot, Though and Choice in Chess (Mouton, The Hague, Netherlands, 1965)

    Google Scholar 

  33. R. Penrose, A. Shimony, N. Cartwright, S. Hawking, The Large, the Small and the Human Mind, (Cambridge University Press, NY, 2007)

    Google Scholar 

  34. R.N. Shepard, Towards a universal law of generalization for psychological science. Sci. 237, 1317–1323, (1987)

    Google Scholar 

  35. J. Piaget, The Psychology of Intelligence (Harcourt Brace, New York, 1950)

    Google Scholar 

  36. J. Piaget, The Construction of Reality in the Child (Basic Books, New York, 1954)

    Book  Google Scholar 

  37. J. Piaget, Success and Understanding (Harvard University Press, Cambridge, 1978)

    Google Scholar 

  38. J. Piaget, The Development of Thought: Equilibration of Cognitive Structures (The Viking Press, New York, 1977)

    Google Scholar 

  39. J. Piaget, The Grasp of Consciousness: Action and Concept in the Young Child (Harvard University Press, Cambridge, 1976)

    Google Scholar 

  40. W.R. Ashby, Design for a Brain (Wiley & Sons, New York, 1953)

    Google Scholar 

  41. G. Kasparov, How Life imitates Chess (Bloomsbury USA, NYH, 2007)

    Google Scholar 

  42. M. Wertheimer, Productive Thinking (Harper, NY, 1959)

    Google Scholar 

  43. U.E. Siebeck, L. Litherland, G.M. Wallis, Shape learning and discrimination in reef fish. J. Exp. Biol. 212, 2113–2119 (2009)

    Article  Google Scholar 

  44. Y.M. Yufik, Understanding, Consciousness and Cognitive Thermodynamics, published in: Chaos, Fractals and Solitons, Special Edition Brain and Criticality, P. Grigolini and D. Chialvo (eds). 2013 (to be published)

    Google Scholar 

  45. Y.M. Yufik, Virtual Associative Networks: A framework for Cognitive Modeling. in Brain and Values, ed. by K.H. Pribram (Lawrence Erlbaum Associates, 1998a), pp. 109–177

    Google Scholar 

  46. Y.M. Yufik, D. Alkon, Modeling Adaptation and Information Fusion in the Human Nervous System (Report Office of Naval Research, Arlington, VA, 1998)

    Google Scholar 

  47. S.J. Landry, T.B. Sheridan, Y.M. Yufik, Cognitive grouping in air traffic control. IEEE Trans. Intel. Transp. Syst. 2, 92–101 (2001)

    Google Scholar 

  48. S.H. Musick, R.P. Malhotra, Sensor management for fighter applications (Sensors Directorate, WP AFB, Dayton, 2006)

    Google Scholar 

  49. Y.M. Yufik, Method and System for Understanding Multi Modal Data Streams. Patent pending, 2011

    Google Scholar 

  50. Y.M. Yufik, T.B. Sheridan, Swiss army knife and Ockham’ razor: modeling and facilitating operator’s comprehension in complex dynamic tasks. IEEE Trans. SMC 32(2), 185–198 (2001)

    Google Scholar 

  51. J. Kacprzyk, A. Wilbik, S. Zadrozny, An approach to the linguistic summarization of time series using a fuzzy quantifier driven aggregation. Int. J. Intell. Syst. 25(5), 411–439 (2010)

    MATH  Google Scholar 

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Acknowledgments

This research was partially supported by Air Force contract FA8750-12-C-0190 to the Institute of Medical Cybernetics, Inc. The views and opinions expressed in this article are those of the author and do not necessarily reflect the official policy or position of any agency of the US government.

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  1. Institute of Medical Cybernetics, Inc., Potomac, MD, 20854, USA

    Yan M. Yufik

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  1. Yan M. Yufik
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Correspondence to Yan M. Yufik .

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  1. ICF International, Lee Highway, Fairfax, 22031, Virginia, USA

    Robinson E. Pino

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Yufik, Y.M. (2014). Understanding Cyber Warfare. In: Pino, R. (eds) Network Science and Cybersecurity. Advances in Information Security, vol 55. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7597-2_5

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  • DOI: https://doi.org/10.1007/978-1-4614-7597-2_5

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