References
[1]. Gabriel A. J. (2020) Appliance Scheduling towards Energy Management in IoT Networks using Bacteria Foraging Optimization (BFO) Algorithm. In: A.E. Hassanien et al. (eds.), Artificial Intelligence for Sustainable Development: Theory, Practice and Future Applications, Stud-ies in Computational Intelligence 912, pp. 290-310. Springer, Nature Switzerland. https://doi.org/10.1007/978-3-030-51920-9_15.
[2]. Alese, B.K., Gabriel A. J., Olukayode O. and Daramola O.A. (2014); Modelling of Risk Man-agement Procedures for Cybercrime Control Systems; The 2014 International Conference of Information Security and Internet Engineering; World Congress on Engineering, ISBN 978-988-19252-7-7; 505-509.
[3]. Alese B. K., Gabriel A. J., Ayodele T. and Akinsowon O. A. (2016) “Cost-Benefit Analysis of Cyber-Security Systems”. Proceedings of the World Congress on Engineering and Comput-er Science 2016. Vol I, WCECS 2016, October 19-21, 2016, San Francisco
[4]. Thompson, A., Abayomi, A., Gabriel, A.J. (2022). Multifactor IoT Authentication System for Smart Homes Using Visual Cryptography, Digital Memory, and Blockchain Technologies. In: Misra, S., Kumar Tyagi, A. (eds) Blockchain Applications in the Smart Era. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-89546-4_14
[5]. X.G. Shan, J. Zhuang (2020). A game-theoretic approach to modelling attacks and defences of smart grids at three levels, Reliability Engineering & System Safety. Vol. 195. DOI: 10.1016/j.ress.2019.106683.
[6]. E. Bagtug, M. Bennis, and M. Debbah, (2014). Living on the Edge: The Role of Proactive Caching in 5G Wireless Networks. IEEE Commun. Mag., 52, 82–89.
[7]. Stojmenovic I. (2014) “The Fog Computing Paradigm : Scenarios and Security Issues,” vol. 2, pp. 18.
[8]. P. Liu, W. Zang, and M. Yu, (2005). Incentive-based modeling and inference of attacker intent, objectives and strategies. ACM Transactions on Information and System Security, 8(1), 78–118.
[9]. S. Hansman, and R. Hunt, (2005). A taxonomy of network and computer attacks. Computers and Security, February 2005., 24, 31–43.
[10]. K. C. Nguyen, T. Alpcan, and T. Basar, (2009). Stochastic games for security in networks with interdependent nodes. Proc. Of Intl. Conf. on Game Theory for Networks (GameNets)
[11]. F. He, J. Zhuang, and N. S. V. Rao, (2012). Game-Theoretic Analysis of Attack and Defence in Cyber-Physical Network Infrastructures. In Proceedings of the 2012 Industrial and Sys-tems Engineering Research Conference G. Lim and J.W. Herrmann, eds.
[12]. B. K. Alese, G. B. Iwasokun, and D. I. Haruna, (2013). DGM Approach to Network Attacker and Defender Strategies. In ’Information Security’ A Conference Proceedings on Interna-tional Conference for Internet World Congress on Internet Security Technologies and Se-cured Transactions ICITST.
[13]. E. O. Ibidunmoye, B. K. Alese, and O. S. Ogundele, (2013). Modeling Attacker-Defender In-teraction as a Zero- Sum Stochastic Game. Journal of Computer Sciences and Applications, 1(2), 27–32.
[14]. S. Garg, and G. S. Aujla, (2014). An Attack Tree Based Comprehensive Framework for the Risk and Security Assessment of VANET using the Concepts of Game Theory and Fuzzy Logic. Journal Of Emerging Technologies In Web Intelligence, 6(2).
[15]. C. Kamhoua, A. Martin, D. K. Tosh, K. A. Kwiat, C. Heitzenrater, and S. Sengupta, (2015). Cyber-threats Information Sharing in Cloud Computing : A game Theoretic Approach, 382–389. http://doi.org/10.1109/CSCloud.2015.8.
[16]. L. Maghrabi, (2015). Moving Assets to the Cloud : A Game Theoretic Approach Based on Trust.
[17]. S. Garg, and G. S. Aujla, (2016). Accessing Risk Priority of SSL SYN Attack using Game Theoretic Attack Defense Tree Model for VANETs, 729–734.
[18]. L. Wei, A. Sarwat, and W. Saad. (2016). Risk Assessment of Coordinated Cyber-Physical At-tacks Against Power Grids : A Stochastic Game Approach, 1–7.
[19]. P. Y. Matthew-Omole, A. J. Gabriel, A. F. Thompson, B. K. Alese, (2021). Monte Carlo Simu-lation Approach to Network Access Control. Journal of Internet Technology and Secured Transactions (JITST) 9(1):726-729. DOI:10.20533/jitst.2046.3723.2021.0088.
[20]. S. Musman, and A. Turner, (2017). A game theoretic approach to cyber security risk manage-ment. Journal of Defense Modeling and Simulation: Applications, Methodology, Technolo-gy, (Special). http://doi.org/10.1177/1548512917699724.
[21]. T. Tidwell, R. Larson, K. Fitch, and J. Hale, (2001). Modeling Internet Attacks. Proceedings of the 2001 IEEE Workshop on Information Assurance and Security United States Military Academy, West Point, NY, 5-6 June, 2001, 1, 5–6.
[22]. H. Mohamed, (2005). Theoretical Aspects of Computer Network Risk Management. The Communication Network and Security (CN&S) research Laboratory at the Communication School of Engineering University, Carthage, Tunisia.
[23]. https://www.us-cert.gov/. (2017). US -CERT. United States Computer Emergency Readiness Team, Department of Homeland Security.
[24]. https://nvd.nist.gov/. (2017). Computer Security Resource Centre, National Vulnerability Data-base. National Institute of Standards and Technology U.S. Department of Commerce.
Cite this article
Akinwumi,D.;Gabriel,A.J.;Akinyede,R.O.;Oluwadare,S.A.;Alese,B.K. (2023). Towards a Secure Fog-Computing Cyber Space: A Bayesian Game-Theoretic Risk Management Framework. Applied and Computational Engineering,2,490-502.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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References
[1]. Gabriel A. J. (2020) Appliance Scheduling towards Energy Management in IoT Networks using Bacteria Foraging Optimization (BFO) Algorithm. In: A.E. Hassanien et al. (eds.), Artificial Intelligence for Sustainable Development: Theory, Practice and Future Applications, Stud-ies in Computational Intelligence 912, pp. 290-310. Springer, Nature Switzerland. https://doi.org/10.1007/978-3-030-51920-9_15.
[2]. Alese, B.K., Gabriel A. J., Olukayode O. and Daramola O.A. (2014); Modelling of Risk Man-agement Procedures for Cybercrime Control Systems; The 2014 International Conference of Information Security and Internet Engineering; World Congress on Engineering, ISBN 978-988-19252-7-7; 505-509.
[3]. Alese B. K., Gabriel A. J., Ayodele T. and Akinsowon O. A. (2016) “Cost-Benefit Analysis of Cyber-Security Systems”. Proceedings of the World Congress on Engineering and Comput-er Science 2016. Vol I, WCECS 2016, October 19-21, 2016, San Francisco
[4]. Thompson, A., Abayomi, A., Gabriel, A.J. (2022). Multifactor IoT Authentication System for Smart Homes Using Visual Cryptography, Digital Memory, and Blockchain Technologies. In: Misra, S., Kumar Tyagi, A. (eds) Blockchain Applications in the Smart Era. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-89546-4_14
[5]. X.G. Shan, J. Zhuang (2020). A game-theoretic approach to modelling attacks and defences of smart grids at three levels, Reliability Engineering & System Safety. Vol. 195. DOI: 10.1016/j.ress.2019.106683.
[6]. E. Bagtug, M. Bennis, and M. Debbah, (2014). Living on the Edge: The Role of Proactive Caching in 5G Wireless Networks. IEEE Commun. Mag., 52, 82–89.
[7]. Stojmenovic I. (2014) “The Fog Computing Paradigm : Scenarios and Security Issues,” vol. 2, pp. 18.
[8]. P. Liu, W. Zang, and M. Yu, (2005). Incentive-based modeling and inference of attacker intent, objectives and strategies. ACM Transactions on Information and System Security, 8(1), 78–118.
[9]. S. Hansman, and R. Hunt, (2005). A taxonomy of network and computer attacks. Computers and Security, February 2005., 24, 31–43.
[10]. K. C. Nguyen, T. Alpcan, and T. Basar, (2009). Stochastic games for security in networks with interdependent nodes. Proc. Of Intl. Conf. on Game Theory for Networks (GameNets)
[11]. F. He, J. Zhuang, and N. S. V. Rao, (2012). Game-Theoretic Analysis of Attack and Defence in Cyber-Physical Network Infrastructures. In Proceedings of the 2012 Industrial and Sys-tems Engineering Research Conference G. Lim and J.W. Herrmann, eds.
[12]. B. K. Alese, G. B. Iwasokun, and D. I. Haruna, (2013). DGM Approach to Network Attacker and Defender Strategies. In ’Information Security’ A Conference Proceedings on Interna-tional Conference for Internet World Congress on Internet Security Technologies and Se-cured Transactions ICITST.
[13]. E. O. Ibidunmoye, B. K. Alese, and O. S. Ogundele, (2013). Modeling Attacker-Defender In-teraction as a Zero- Sum Stochastic Game. Journal of Computer Sciences and Applications, 1(2), 27–32.
[14]. S. Garg, and G. S. Aujla, (2014). An Attack Tree Based Comprehensive Framework for the Risk and Security Assessment of VANET using the Concepts of Game Theory and Fuzzy Logic. Journal Of Emerging Technologies In Web Intelligence, 6(2).
[15]. C. Kamhoua, A. Martin, D. K. Tosh, K. A. Kwiat, C. Heitzenrater, and S. Sengupta, (2015). Cyber-threats Information Sharing in Cloud Computing : A game Theoretic Approach, 382–389. http://doi.org/10.1109/CSCloud.2015.8.
[16]. L. Maghrabi, (2015). Moving Assets to the Cloud : A Game Theoretic Approach Based on Trust.
[17]. S. Garg, and G. S. Aujla, (2016). Accessing Risk Priority of SSL SYN Attack using Game Theoretic Attack Defense Tree Model for VANETs, 729–734.
[18]. L. Wei, A. Sarwat, and W. Saad. (2016). Risk Assessment of Coordinated Cyber-Physical At-tacks Against Power Grids : A Stochastic Game Approach, 1–7.
[19]. P. Y. Matthew-Omole, A. J. Gabriel, A. F. Thompson, B. K. Alese, (2021). Monte Carlo Simu-lation Approach to Network Access Control. Journal of Internet Technology and Secured Transactions (JITST) 9(1):726-729. DOI:10.20533/jitst.2046.3723.2021.0088.
[20]. S. Musman, and A. Turner, (2017). A game theoretic approach to cyber security risk manage-ment. Journal of Defense Modeling and Simulation: Applications, Methodology, Technolo-gy, (Special). http://doi.org/10.1177/1548512917699724.
[21]. T. Tidwell, R. Larson, K. Fitch, and J. Hale, (2001). Modeling Internet Attacks. Proceedings of the 2001 IEEE Workshop on Information Assurance and Security United States Military Academy, West Point, NY, 5-6 June, 2001, 1, 5–6.
[22]. H. Mohamed, (2005). Theoretical Aspects of Computer Network Risk Management. The Communication Network and Security (CN&S) research Laboratory at the Communication School of Engineering University, Carthage, Tunisia.
[23]. https://www.us-cert.gov/. (2017). US -CERT. United States Computer Emergency Readiness Team, Department of Homeland Security.
[24]. https://nvd.nist.gov/. (2017). Computer Security Resource Centre, National Vulnerability Data-base. National Institute of Standards and Technology U.S. Department of Commerce.