Cyber Attack Detection

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

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Libraries

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Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

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Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

6 shown of 6 papers with code (41 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Deep Anomaly Detection with Deviation Networks
  19 Nov 2019 6 repositories listed
  Instead of representation learning, our method fulfills an end-to-end learning of anomaly scores by a neural deviation learning, in which we leverage a few (e.
• Cyber Attack Detection thanks to Machine Learning Algorithms
  17 Jan 2020 2 repositories listed
  The Random Forest Classifier succeeds in detecting more than 95% of the botnets in 8 out of 13 scenarios and more than 55% in the most difficult datasets.
• A Deep Multi-Modal Cyber-Attack Detection in Industrial Control Systems
  4 Apr 2023 1 repository listed
  The growing number of cyber-attacks against Industrial Control Systems (ICS) in recent years has elevated security concerns due to the potential catastrophic impact.
• A Transfer Learning and Optimized CNN Based Intrusion Detection System for Internet of Vehicles
  27 Jan 2022 1 repository listed
  Modern vehicles, including autonomous vehicles and connected vehicles, are increasingly connected to the external world, which enables various functionalities and services.
• Improving SIEM for Critical SCADA Water Infrastructures Using Machine Learning
  6 Mar 2019 1 repository listed
  Like other Internet of Things (IoT) implementations, SCADA systems are vulnerable to cyber-attacks, therefore, a robust anomaly detection is a major requirement.
• Online Cyber-Attack Detection in Smart Grid: A Reinforcement Learning Approach
  14 Sep 2018 1 repository listed
  Early detection of cyber-attacks is crucial for a safe and reliable operation of the smart grid.