Statistical machine learning techniques have recently garnered increased popularity as a means to improve network design and security. For intrusion detection, such methods build ...
Benjamin I. P. Rubinstein, Blaine Nelson, Ling Hua...
Attacks and intrusions to information systems cause large revenue losses. The prevention of these attacks is not always possible by just considering information from isolated sour...
Attackers often try to evade an intrusion detection system (IDS) when launching their attacks. There have been several published studies in evasion attacks, some with available to...
As the network line rates reach 40 Gbps today and 100 Gbps in the near future, performing deep packet inspection (DPI) in the Network Intrusion Detection and Prevention Systems (NI...
Regular expressions are widely used in Network Intrusion Detection System (NIDS) to represent patterns of network attacks. Since traditional software-only NIDS cannot catch up to ...