KDDT: Knowledge Distillation-Empowered Digital Twin for Anomaly Detection

Author:

Xu Qinghua1,Ali Shaukat2,Yue Tao3,Nedim Zaimovic4,Singh Inderjeet4

Affiliation:

1. Simula Research Laboratory, Oslo, Norway / University of Oslo, Oslo, Norway

2. Simula Research Laboratory, Oslo, Norway / Oslo Metropolitan University, Oslo, Norway

3. Simula Research Laboratory, Oslo, Norway

4. Alstom Rail, Västerås, Sweden

Funder

Horizon 2020 Framework Programme

Norges Forskningsråd

Publisher

ACM

Reference43 articles.

1. A survey of network anomaly detection techniques

2. R Anushiya and V S Lavanya . 2021. A COMPARATIVE STUDY ON INTRUSION DETECTION SYSTEMS FOR SECURED COMMUNICATION IN INTERNET OF THINGS. ICTACT JOURNAL ON COMMUNICATION TECHNOLOGY, 12, 03 ( 2021 ). R Anushiya and V S Lavanya. 2021. A COMPARATIVE STUDY ON INTRUSION DETECTION SYSTEMS FOR SECURED COMMUNICATION IN INTERNET OF THINGS. ICTACT JOURNAL ON COMMUNICATION TECHNOLOGY, 12, 03 (2021).

3. A practical guide for using statistical tests to assess randomized algorithms in software engineering

4. Cross-Validation Methods

5. KR1442 Chowdhary and KR Chowdhary. 2020. Natural language processing. Fundamentals of artificial intelligence 603–649. KR1442 Chowdhary and KR Chowdhary. 2020. Natural language processing. Fundamentals of artificial intelligence 603–649.

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