Strategic Remote Attestation: Testbed for Internet-of-Things Devices and Stackelberg Security Game for Optimal Strategies

Roy, Shanto; Kadir, Salah Uddin; Vorobeychik, Yevgeniy; Lászka, Áron

doi:10.1007/978-3-030-90370-1_15

Cited by 4 publications

(8 citation statements)

References 19 publications

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“…Even for a system under study related to the sports industry, the security of which requires the design of a system of strategies, specific decisions need to be identified [ 7 , 19 ]. Let ( a 1 , a 2 ,…, a n ) be the vector of the above decisions, which are also called design variables, and can be any system design security decisions.…”

Section: Definition Of the Problemmentioning

confidence: 99%

“…Solution extraction consists of finding the line of the usual form table of the corresponding game with the largest column minimum [ 7 , 34 ]. To make this possible, the standard game board must be constructed.…”

Section: Optimizationmentioning

confidence: 99%

“…Game theory is the ultimate modeling system for security systems and, more recently, cybersecurity. It allows the creation of tangible solutions that will enable the evaluation of existing strategies and their optimization to create a robust and long-term security environment at the organization level [ 7 ]. Using the principles of game theory [ 8 ], it is possible to develop cyber-threat scenarios where cyber security professionals can apply the strategies that govern the organization and control or quantify the risk to their valuable assets [ 1 ].…”

Section: Introductionmentioning

confidence: 99%

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Optimization of Cyber Tactics in Sports Strategies Using Hybrid AI Decision-Making Technologies

Duan¹

2022

Computational Intelligence and Neuroscience

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One of the main problems of modern research concerns the optimal design of solutions to address cybersecurity problems, with methods that provide the ability to choose an objective function different from that of the classic problem of more economical design while allowing the use of constraints on any possible variable during planning, including financial resources. The number of corresponding solutions concerns the issue of optimal design of security strategies with a simulation that lies in game theory, with players, the defender on one side defending the system managing the available options of strategic solutions, and the attacker, who chooses the way to strike the system, based on some attack scenarios that cannot be easily predicted. The inherent difficulty of implementing the proposed solutions lies in the combined explosion of all possible combinations that make up the solution space, the complete examination of which requires a lot of computational time and computing resources, to the point that their use becomes unprofitable. This weakness is attributed to even minor problems, and the possible strategies available to the defender are finite but at the same time numerous. To solve the abovementioned problem, the work proposes a hybrid system that aims to identify the best possible approach in the theoretically optimal solution in a short time and with minimal computing resources. Specifically, a heuristic optimization methodology is used with overlapping answers between two contiguous neighborhoods based on the Bloom Filters structure that supports fast listings and searches. This methodology, which is evaluated in optimizing safety strategies in the sports industry, brings about 40% optimization.

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Section: Definition Of the Problemmentioning

confidence: 99%

Section: Optimizationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Optimization of Cyber Tactics in Sports Strategies Using Hybrid AI Decision-Making Technologies

Duan¹

2022

Computational Intelligence and Neuroscience

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“…It should be noted that the mathematical models of the system in the method of systematic analysis play a central role in the modeling of the systems in question, as it is an essential tool in the modern design and management of projects and strategies [ 14 , 15 ]. In general, such a model consists of one or more statements, expressed in mathematical terms, that describe relationships between dependent and independent variables, as shown in Figure 1 .…”

Section: Introductionmentioning

confidence: 99%

“…In the serial problem, the vector of system state variables evolves in time or space according to a method of equations in which decision variables are also involved. The cost function is the sum of the transition costs at each stage and ultimately depends on the (known) initial situation and values of the decision variables at each stage [ 14 , 23 ]. The solution to the above problem for optimal control is developed using classical optimization methods where the functions are continuous and derivable without restrictions.…”

Section: Introductionmentioning

confidence: 99%

Using Advanced Analytic Techniques to Optimize Cyber-Physical Defensive Plans in Sports Infrastructures and Facilities

Wang

2022

Computational Intelligence and Neuroscience

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The technical projects for securing a network of infrastructures and processes are designed, financed, carried out, maintained, and operated within a general infrastructure system, which can gather activities and funds of the private or public sector. The importance of such projects for modern society is enormous, and there is a positive correlation between the size of infrastructure projects and the strength of the national economy. At the same time, it falls within the critical infrastructure sector most of the time. This work, taking into account the massive importance of investments made in the field of sports and the corresponding significance of the design and implementation of robust cybersecurity systems, presents an innovative optimization system for the design, performance, and adaptation of safeguards of technical projects, which require a high level of security standards. A realistic optimization system of low computational complexity is proposed and tested, dividing the problem into a series of subproblems of one-step optimization, which can be solved with great ease and without requirements on computational resources. The great innovation of the proposed system is that the separation is done so that the solution results from the optimal individual solutions of the subproblems without affecting the final result.

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