Anomaly traffic detection based on feature fluctuation for secure industrial internet of things.

Yin, Jie; Zhang, Chuntang; Xie, Wenwei; Liang, Guangjun; Zhang, Lanping; Gui, Guan

Yin, Jie; Zhang, Chuntang; Xie, Wenwei; Liang, Guangjun; Zhang, Lanping; Gui, Guan.

Affiliation

Yin J; Computer Information and Cyber Security, Jiangsu Police Institute, Nanjing, 210031 China.
Zhang C; Bell Honors School, Nanjing University of Posts and Telecommunications, Nanjing, 210023 China.
Xie W; Network Security, Trend Micro Incorporated, Nanjing, 210012 China.
Liang G; Computer Information and Cyber Security, Jiangsu Police Institute, Nanjing, 210031 China.
Zhang L; College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, 210003 China.
Gui G; College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, 210003 China.

Peer Peer Netw Appl ; : 1-16, 2023 Apr 26.

Article de En | MEDLINE | ID: mdl-37362098

Mots clés

Anomaly traffic detection; Dataset construction; Feature fluctuations; Iot-23 dataset; Machine learning

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Diagnostic_studies / Prognostic_studies Langue: En Journal: Peer Peer Netw Appl Année: 2023 Type de document: Article Pays de publication: États-Unis d'Amérique

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