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Publications by Johan Mazel
Unsupervised Network Intrusion Detection Systems: Detecting the Unknown Without Knowledge
Computer Communications
Computer Networks
Communications
0day Anomaly Detection Made Possible Thanks to Machine Learning
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
Related publications
Use the Ensemble Methods When Detecting DoS Attacks in Network Intrusion Detection Systems
EAI Endorsed Transactions on Context-aware Systems and Applications
Predicting the Resource Consumption of Network Intrusion Detection Systems
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
Detecting Danger: Applying a Novel Immunological Concept to Intrusion Detection Systems
SSRN Electronic Journal
Intrusion Detection Systems
Advances in Information Security
Intrusion Detection Systems
Hybrid Network Intrusion Detection
Unsupervised Intrusion Detection Based on FCM and Vote Mechanism
Information Technology Journal
Network Traffic Analysis Optimization at Signature-Based Intrusion Detection Systems
Unsupervised Anomaly Detection for Network Data Streams in Industrial Control Systems
Information (Switzerland)
Information Systems
