Current Intrusion Detection Systems (IDS) examine all data features to detect intrusion or misuse patterns. Some of the features may be redundant or contribute little (if anything)...
An intrusion detection system (IDS) usually has to analyse Giga-bytes of audit information. In the case of anomaly IDS, the information is used to build a user profile characteris...
: Data mining is the process of posing queries and extracting patterns, often previously unknown from large quantities of data using pattern matching or other reasoning techniques....
Many network intrusion detection systems (NIDS) use byte sequences as signatures to detect malicious activity. While being highly efficient, they tend to suffer from a high false...
—Bloom Filters (BFs) are fundamental building blocks in various network security applications, where packets from high-speed links are processed using state-of-the-art hardwareba...
N. Sertac Artan, Kaustubh Sinkar, Jalpa Patel, H. ...