Outside the Closed World: On Using Machine Learning for Network Intrusion Detection
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- Type
- article
- Published
- 2010-05-16
- Cited by
- 2,082
- References
- 68
- Access
- Open access
- OpenAlex
- https://openalex.org/W1985987493
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:206578669
Keywords
Intrusion detection system, Computer science, Machine learning, Artificial intelligence, Anomaly detection
References
- Language Identification of Encrypted VoIP Traffic: Alejandra y Roberto or Alice and Bob?
- BotHunter: Detecting Malware Infection Through IDS-Driven Dialog Correlation
- Statistical fraud detection: A review
- Insertion, Evasion, and Denial of Service: Eluding Network Intrusion Detection
- Pattern classification, 2nd Edition
- Browser Fingerprinting from Coarse Traffic Summaries: Techniques and Implications
- Detecting Targeted Attacks Using Shadow Honeypots
- Bro: a system for detecting network intruders in real-time
- Spamscatter: Characterizing Internet Scam Hosting Infrastructure
- Playing Devil's Advocate: Inferring Sensitive Information from Anonymized Network Traces
- Youtube traffic characterization: a view from the edge
- Testing Intrusion detection systems
- The 1999 DARPA off-line intrusion detection evaluation
- An Overview of the Tesseract OCR Engine
- An Intrusion-Detection Model
- Google Book Search: Document Understanding on a Massive Scale
- Evading network anomaly detection systems: formal reasoning and practical techniques
- The base-rate fallacy and its implications for the difficulty of intrusion detection
- Online supervised spam filter evaluation
- Unveiling facebook: a measurement study of social network based applications
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- Exploiting Graph Properties for Decentralized Reputation Systems
- Senatus - Implementation and Performance Evaluation
- ANALYSIS OF A SEMI-SUPERVISED LEARNING APPROACH TO INTRUSION DETECTION
- Detecting exploit patterns from network packet streams
- Vulnerability Extrapolation: Assisted Discovery of Vulnerabilities Using Machine Learning
- The process matters: cyber security in industrial control systems
- Data Stream Mining Based Dynamic Link Anomaly Analysis Using Paired Sliding Time Window Data
- Conceptual Approaches for Securing Networks and Systems
- Using Malware Analysis to Evaluate Botnet Resilience
- Control variable classification, modeling and anomaly detection in Modbus/TCP SCADA systems
- Quality of Information Assurance - Assessment, Management and Use (QIAAMU)
- Bruk av kunstig intelligens for å oppdage innbrudd i datasystemer
- Network Intrusion Dataset Assessment
- NEW PATTERN MATCHING ALGORITHMS FOR NETWORK SECURITY APPLICATIONS
- Machine learning for computer security: A guide to prospective authors
- Network Anomaly Detection: A Machine Learning Perspective
- Rational Multiparty Computation
- Using endpoints process information for malicious behavior detection
- Marionette: A Programmable Network Traffic Obfuscation System
- SDN-inspired, real-time botnet detection and flow-blocking at ISP and enterprise-level
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