Research on the Optimization of Military Supplies under Big Data Background

Zhai, Chenggong; Jiang, Xiao-biao; Zhang, Ying-xing; Liu, Nan

doi:10.1109/bdai.2018.8546629

Cited by 2 publications

(2 citation statements)

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“…Their most important advantage lies in their much better performance in a large volume of data and the minimal memory space used per registered object. Their use is ideal for applications in which one wants to check if a value is included in a list, but for bloom filters to make sense, it must first be demonstrated that there is a possibility of limiting the likelihood of error [ 12 , 47 , 48 ]. The more memory space available, the more this possibility will tend to be eliminated.…”

Section: Bloom Filtersmentioning

confidence: 99%

“…For this reason, the work proposes a hybrid system [ 10 , 11 ], which aims to identify the best-possible solutions in the area of theoretically optimal solutions in a short time and with minimal computing resources. Specifically, a heuristic optimization [ 12 , 13 ] methodology is used with overlapping solutions between two contiguous neighborhoods based on the Bloom Filters structure that supports fast listings and searches [ 14 , 15 ]. This methodology, which has been tested in optimizing safety strategies in the sports industry, achieves up to 40% optimization compared to other methods.…”

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: Bloom Filtersmentioning

confidence: 99%