Recent Advances in Intrusion Detection

Recent Advances in Intrusion Detection.- A Framework for the Application of Association Rule Mining in Large Intrusion Detection Infrastructures.- Behavioral Distance Measurement Using Hidden Markov Models.- Automated Discovery of Mimicry Attacks.- Allergy Attack Against Automatic Signature Generation.- Paragraph: Thwarting Signature Learning by Training Maliciously.- Anomaly Detector Performance Evaluation Using a Parameterized Environment.- Ranking Attack Graphs.- Using Hidden Markov Models to Evaluate the Risks of Intrusions.- The Nepenthes Platform: An Efficient Approach to Collect Malware.- Automatic Handling of Protocol Dependencies and Reaction to 0-Day Attacks with ScriptGen Based Honeypots.- Fast and Evasive Attacks: Highlighting the Challenges Ahead.- Anagram: A Content Anomaly Detector Resistant to Mimicry Attack.- DEMEM: Distributed Evidence-Driven Message Exchange Intrusion Detection Model for MANET.- Enhancing Network Intrusion Detection with Integrated Sampling and Filtering.- WIND: Workload-Aware INtrusion Detection.- SafeCard: A Gigabit IPS on the Network Card.