Grunnleggende konsepter
Proposing a two-tier adaptive IDS system using one-class classification to effectively detect and classify known and unknown cyber threats.
Statistikk
"The NSL-KDD dataset was designed to overcome the issues with KDD’99 dataset. This updated version of the KDD data set is still regarded as an effective benchmark dataset for researchers to compare different intrusion detection approaches."
"The UNSW-NB15 dataset contains 257,673 records and 45 fields, capturing network traffic in a realistic setting using various tools and techniques."
"The CIC-DDoS2019 dataset contains both normal traffic patterns and a wide variety of distributed denial of service (DDoS) assaults, such as UDP flood, HTTP flood, and TCP SYN."
Sitater
"The dynamic nature of cyberattacks necessitates regular updates to IDS to effectively detect and respond to emerging attack patterns."
"An Adaptive IDS refers to a classification model that is dynamically updated to identify emerging attack instances."