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Research on network security risk analysis method based on full traffic

Journal of physics. Conference series, 2021-02, Vol.1792 (1), p.12038 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;2021. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/1792/1/012038

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  • Title:
    Research on network security risk analysis method based on full traffic
  • Author: Tang, Yong ; Liang, Yunhui ; Xiong, Xiaowen ; Liu, Tao ; Liu, Chun
  • Subjects: Network security ; Risk analysis ; Security
  • Is Part Of: Journal of physics. Conference series, 2021-02, Vol.1792 (1), p.12038
  • Description: In the application process of industrial Internet, network security threats and malicious attacks occur from time to time. In order to improve the ability of network perception of unknown threats and the level of network security protection, this paper proposes a network security detection method based on full flow. Through online intelligent detection of network malicious traffic, unknown threats and malicious attacks can be found, provide guarantee for improving enterprise network security level.
  • Publisher: Bristol: IOP Publishing
  • Language: English
  • Identifier: ISSN: 1742-6588
    EISSN: 1742-6596
    DOI: 10.1088/1742-6596/1792/1/012038
  • Source: Open Access: IOP Publishing Free Content
    AUTh Library subscriptions: ProQuest Central
    IOPscience (Open Access)
    GFMER Free Medical Journals

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