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A Context-Based Model for Validating the Ability of Cyber Systems to Defend Against Attacks

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Book cover Ubiquitous Networking (UNet 2018)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 11277))

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Abstract

Deploying security solutions to defend against known security attacks could fail not only due to policy, design, or implementation flaws in the designed solutions, but also due to lack of data regarding the environment under which the attack is executed, or the security solution supervising the malicious behavior. To this end, we develop in this paper a new cyber defense system that assesses the efficiency of a cyber security solution when faced to attack scenarios occurring under different contexts (the configuration and location of distributed security solutions, called observer agents, the used reaction system, and the information visibility of attacks). The work also considers the development of a model for describing the concept of global, local and observable executable scenarios, which allows to observe step by step the execution of an attack scenario, and the observer agents’ behavior and their reactions to the attack execution. The model allows also to identify the step at which an attack scenario can be blocked. A case study is presented to exemplify the proposal.

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Notes

  1. 1.

    CERTbe, Petya/NotPetya Malware Report on worldwide infection, June 2017.

  2. 2.

    Symantec Internet Security Threat Report ISTR, Ransomware 2017, July 2017.

References

  1. Mohurle, S., Patil, M.: A brief study of wannacry threat: ransomware attack 2017. Int. J. Adv. Res. Comput. Sci. 8(5) (2017)

    Google Scholar 

  2. Razzaq, A., Hur, A., Ahmad, H.F., Masood, M.: Cyber security: threats, reasons, challenges, methodologies and state of the art solutions for industrial applications. In: IEEE Eleventh International Symposium on Autonomous Decentralized Systems (ISADS), Mexico, 06–08 March 2013

    Google Scholar 

  3. Shinde, P.S., Ardhapurkar, S.B.: Cyber security analysis using vulnerability assessment and penetration testing. In: IEEE Sponsored World Conference on Futuristic Trends in Research and Innovation for Social Welfare (2016)

    Google Scholar 

  4. Lakhdhar, Y., Rekhis, S., Boudriga, N.: An approach to a graph-based active cyber defense model. In: The 14th International Conference on Advances in Mobile Computing & Multimedia (MoMM 2016), Singapore, 28–30 November 2016

    Google Scholar 

  5. Guezguez, M.J., Rekhis, S., Boudriga, N.: Observation-based detection of femtocell attacks in wireless mobile networks. In: Proceedings of the Symposium on Applied Computing, Morocco, 03–07 April 2017

    Google Scholar 

  6. Derfouf, M., Eleuldj, M., Enniari, S., Diouri, O.: Smart intrusion detection model for the cloud computing. In: Rocha, Á., Serrhini, M., Felgueiras, C. (eds.) Europe and MENA Cooperation Advances in Information and Communication Technologies, vol. 520, pp. 411–421. Springer, Heidelberg (2017). https://doi.org/10.1007/978-3-319-46568-5_42

    Chapter  Google Scholar 

  7. Lakhdhar, Y., Rekhis, S., Boudriga, N.: Proactive damage assessment of cyber attacks using mobile observer agents. In: The 15th International Conference on Advances in Mobile Computing & Multimedia (MoMM 2017), Salzburg, Austria, 04–06 December 2017

    Google Scholar 

  8. Vasilomanolakis, E., Karuppayah, S., Mühlhäuser, M., Fischer, M.: Taxonomy and survey of collaborative intrusion detection. ACM Comput. Surv. (CSUR) 47(4), 55 (2015)

    Article  Google Scholar 

  9. Ganame, K., Allaire, M.A., Zagdene, G., Boudar, O.: Network behavioral analysis for zero-day malware detection-a case study. In: Proceedings of International Conference on Intelligent, Secure, and Dependable Systems in Distributed and Cloud Environments (2017)

    Google Scholar 

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Correspondence to Yosra Lakhdhar .

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Lakhdhar, Y., Rekhis, S., Boudriga, N. (2018). A Context-Based Model for Validating the Ability of Cyber Systems to Defend Against Attacks. In: Boudriga, N., Alouini, MS., Rekhis, S., Sabir, E., Pollin, S. (eds) Ubiquitous Networking. UNet 2018. Lecture Notes in Computer Science(), vol 11277. Springer, Cham. https://doi.org/10.1007/978-3-030-02849-7_27

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  • DOI: https://doi.org/10.1007/978-3-030-02849-7_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-02848-0

  • Online ISBN: 978-3-030-02849-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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