Research on network security protection system based on dynamic modeling

Shu, Fei; Li, Ming; Chen, Shuting; Wang, Xu; Li, Feng

doi:10.1109/itnec.2017.8285064

Cited by 3 publications

(2 citation statements)

References 8 publications

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“…Currently, there is active international research in this direction, most of which is supported by the US Department of Defense Advanced Programs and the National Science Foundation. At the initial stage, intensive research in data mining-based intrusion detection has been conducted by Wenke Lee's group at Columbia University [17,18] and Stephanie Forrest's group at University or New Mexi (UNM). The data mining-based audit analysis system implemented by Wenke Lee's group is significantly better than other systems in detecting denial-of-service attacks and scanning, but not enough research has been done to detect anomalous internal user actions [19].…”

Section: Current Developments In Audit Technologymentioning

confidence: 99%

Design of a Network Security Audit System Based on Log Data Mining

Xing

2022

Wireless Communications and Mobile Computing

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The purpose of network security auditing is to safeguard network and information security through the assessment of network security vulnerabilities. Data mining is mainly used to mine potential information from massive amounts of log data, which can provide both accurate and valuable auxiliary data for network security auditing and relevant information for monitoring and management of terminals in different network environments. Firstly, the theory of data mining technology is explained, secondly, some data mining algorithms applied to network security audit are discussed, and finally, the design difficulties and functions of the network security audit system based on data mining are studied, aiming to provide reference for securing network and identifying hidden risks.

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Section: Current Developments In Audit Technologymentioning

confidence: 99%

Design of a Network Security Audit System Based on Log Data Mining

Xing

2022

Wireless Communications and Mobile Computing

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“…Xi et al [4] proposed an improved quantitative evaluation model of the network security situation and optimized the network security situation quantitative value by game method, but the information source is single. Shu et al [5] proposed a network security risk assess-ment model based on network security vulnerabilities to assess network security risks. However, the model requires a large amount of data, the risk baseline determination is influenced by experts, and the algorithm complexity is high.…”

Section: Introductionmentioning

confidence: 99%

A Security Situation Assessment Model of Information System for Smart Mobile Devices

Xie

Yan

Zhang

et al. 2020

Wireless Communications and Mobile Computing

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The accuracy of the existing security situation assessment model of information system for smart mobile devices is affected by expert evaluation preferences. This paper proposes an information system security situation assessment model for smart mobile devices, which is based on the modified interval matrix-entropy weight-based cloud (MIMEC). According to the security situation assessment index system, the interval judgment matrix reflecting the relative importance of different indexes is modified to improve the objectivity of the index layer weight vector. Then, the entropy weight-based cloud is used to quantify the criterion layer and the target layer security situation index, and the security level of the system is graded. The evaluation experiment on the departure control system for smart mobile devices not only verify the validity of this model but also demonstrate that this model has higher stability and reliability than other models.

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