Cyber Attack Detection
6 papers with code • 0 benchmarks • 0 datasets
Cybersecurity attacks prediction using deep learning
Benchmarks
These leaderboards are used to track progress in Cyber Attack Detection
Most implemented papers
Deep Anomaly Detection with Deviation Networks
GuansongPang/deviation-network
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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. g., multiple to dozens) labeled anomalies and a prior probability to enforce statistically significant deviations of the anomaly scores of anomalies from that of normal data objects in the upper tail.
Cyber Attack Detection thanks to Machine Learning Algorithms
antoinedelplace/Cyberattack-Detection
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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.
Online Cyber-Attack Detection in Smart Grid: A Reinforcement Learning Approach
Early detection of cyber-attacks is crucial for a safe and reliable operation of the smart grid.
Improving SIEM for Critical SCADA Water Infrastructures Using Machine Learning
Like other Internet of Things (IoT) implementations, SCADA systems are vulnerable to cyber-attacks, therefore, a robust anomaly detection is a major requirement.
A Transfer Learning and Optimized CNN Based Intrusion Detection System for Internet of Vehicles
western-oc2-lab/intrusion-detection-system-using-cnn-and-transfer-learning
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Modern vehicles, including autonomous vehicles and connected vehicles, are increasingly connected to the external world, which enables various functionalities and services.
A Deep Multi-Modal Cyber-Attack Detection in Industrial Control Systems
sbahadoripour/A-Deep-Multi-modal-cyber-attack-detection
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The growing number of cyber-attacks against Industrial Control Systems (ICS) in recent years has elevated security concerns due to the potential catastrophic impact.
