PCkAD: an unsupervised intrusion detection technique exploiting within payload n-gram location distribution.
Fabrizio AngiulliLuciano ArgentoAngelo FurfaroPublished in: CoRR (2014)
Keyphrases
- intrusion detection
- n gram
- network traffic
- intrusion detection system
- language model
- anomaly detection
- unsupervised anomaly detection
- network intrusion detection
- network security
- text classification
- detecting anomalous
- variable length
- high detection rate
- part of speech
- language modeling
- data mining
- information security
- semi supervised
- artificial immune
- unsupervised learning
- network intrusion
- data mining techniques
- word segmentation
- computer networks
- network intrusions
- outlier mining
- supervised learning
- machine learning
- knowledge discovery
- neural network
- data analysis
- character n grams
- alert correlation
- feature space
- data model
- statistical language modeling
- databases