Honeyboost: Boosting honeypot performance with data fusion and anomaly detection

With insider attacks becoming more common and costing organizations every year, it has never been crucial to be able predict when an attack may happen. Network Anomaly Detection Systems (NADS) have the ability identify unusual behavior making them useful in predicting cyberattacks, but often suffer from high false positive rates. Honeypots used conjunction with NADS can help learning behaviors enable better prediction. However both honeypots legacy are generally deployed at gateway a network.