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Cyber Attack Detection

3 papers with code · Miscellaneous

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Improving SIEM for Critical SCADA Water Infrastructures Using Machine Learning

6 Mar 2019AbertayMachineLearningGroup/machine-learning-SIEM-water-infrastructure

Like other Internet of Things (IoT) implementations, SCADA systems are vulnerable to cyber-attacks, therefore, a robust anomaly detection is a major requirement.

ANOMALY DETECTION CYBER ATTACK DETECTION

Deep Anomaly Detection with Deviation Networks

19 Nov 2019GuansongPang/deviation-network

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.

ANOMALY DETECTION CYBER ATTACK DETECTION FRAUD DETECTION NETWORK INTRUSION DETECTION REPRESENTATION LEARNING

Cyber Attack Detection thanks to Machine Learning Algorithms

17 Jan 2020antoinedelplace/Cyberattack-Detection

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.

CYBER ATTACK DETECTION FEATURE SELECTION INTRUSION DETECTION