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Anomaly detection in command shell sessions is a critical aspect of computer security.
Using unix: Collected traces of 168 users
Saul Greenberg · 1988
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Computer intrusion: Detecting masquerades
Matthias Schonlau, William DuMouchel, Wen-Hua Ju, Alan F Karr, Martin Theus, and Yehuda Vardi · 2001
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Masquerade detection using truncated command lines
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Mei-Ling Shyu, Shu-Ching Chen, Kanoksri Sarinnapakorn, and LiWu Chang · 2003
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One-class training for masquerade detection
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Empirical evaluation of svm-based masquerade detection using unix commands
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Isolation forest
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Outlier Analysis
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Deeplog: Anomaly detection and diagnosis from system logs through deep learning
Min Du, Feifei Li, Guineng Zheng, and Vivek Srikumar · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Xi Victoria Lin, Chenglong Wang, Luke Zettlemoyer, and Michael D Ernst · 2018
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A conceptual hybrid model of deep convolutional neural network (dcnn) and long short-term memory (lstm) for masquerade attack detection
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Bert embeddings: A modern machine-learning approach for detecting malware from command lines (part 1 of 2)
Stefan-Bogdan Cocea · 2022
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Log-based anomaly detection with deep learning: How far are we?
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Transformers: State-of-the-art natural language processing
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Bert embeddings: A modern machine-learning approach for detecting malware from command lines (part 2 of 2)
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Linux commands & utilities commonly used by attackers
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Efficient few-shot learning without prompts
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Masquerade detection based on temporal convolutional network
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Mitre att&ck
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