Multi-Attacks Detection in Distributed System using Machine Learning

Patil, Preeti V; Bagwan, T.; Kulkarni, Sunita M.; Lobo, Carroline; Khonde, Shraddha R.

doi:10.26438/ijcse/v7i1.601605

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Large Scale Dynamic Programming and Its Algorithm1

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2020

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“…The multi-stage decision-making optimization problem to be solved is transformed into several sub stage problems, and each sub stage problem is solved by using the mutual relationship of each stage. Many practical problems and mathematical models are studied, thus a new branch of mathematical programming called dynamic programming is established [6][7].…”

Section: Large Scale Dynamic Programming and Its Algorithmmentioning

confidence: 99%

Fault Handling Method of Distributed System Based on Large Scale Dynamic Programming

2020

DPS

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with the rapid improvement of Internet and information construction in all walks of life, the traditional centralized storage system is gradually replaced by the distributed storage system. Fault processing method based on distributed system is a research hotspot in the field of power system fault identification. The purpose of this paper is to integrate large-scale dynamic programming with distributed system fault handling methods. Through the research of large-scale dynamic programming and its algorithm and distributed system, the relevant fault handling methods are proposed. In the experiment, we construct the system execution flow and use the dynamic planning algorithm to study and analyze the usability and universality of the distributed system dynamic planning application.

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Section: Large Scale Dynamic Programming and Its Algorithmmentioning

confidence: 99%

Fault Handling Method of Distributed System Based on Large Scale Dynamic Programming

2020

DPS

View full text Add to dashboard Cite

show abstract

Multi-Attacks Detection in Distributed System using Machine Learning

Cited by 1 publication

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Fault Handling Method of Distributed System Based on Large Scale Dynamic Programming

Fault Handling Method of Distributed System Based on Large Scale Dynamic Programming

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