WebHound: a data-driven intrusion detection from real-world web access logs.
Te-En WeiHahn-Ming LeeAlbert B. JengHemank LambaChristos FaloutsosPublished in: Soft Comput. (2019)
Keyphrases
- intrusion detection
- data driven
- real world
- web access logs
- intrusion detection system
- anomaly detection
- data mining
- network security
- network intrusion detection
- network traffic
- detecting anomalous
- data sets
- network intrusion
- web usage mining
- high detection rate
- intrusion prevention
- network intrusions
- data mining techniques
- search queries
- alert correlation
- website
- response time
- association rules
- social networks