… detect Probe, R2L, and U2R attacks better than the non-retrained multi-agent system using
the multi-level hybrid SVM and ELM models as well as the multi-level hybrid SVM and ELM. …

… intrusion detection system achieves the detection with better … NIDS using data mining
and five types of agents based on … a multi-class problem of intrusion detection using multi-agent …

… is a main enhanced algorithm, Snort-based IPS. DDoS attack … create an intrusion detection
system to detect DDoS attacks. … attack detection is usually regarded as a binary or multiclass …

… network using a mixture of attribute selection, outlier detection, also improved multi-class SVM
… Intelligent multi-agent based intrusion detection system can be self adapting, learner and …

… IAEMSVM (Intelligent agent-based enhanced multiclass … By using ARMA-IDS, the focus
of the work was to enhance … with multi-agent based intrusion detection systems in networks …

… As the number of agents can easily be increased with the … classification technique are
Support vector machine (SVM), … work, an agent based distributed intrusion detection system …

… A traditional-network based or host-based intrusion detection system does not suit for virtual
… dataset utilizing SVM and SA to enhance the characterization precision of DT and SVM, to …

… area existing of intrusion detection systems that use big data … Support Vector Machine,
Random Forest, and Decision Tree, … , since the intrusion detection rate is increased and the false …

… in intrusions detection, the survey also discussed agent based IDS, … based on an improved
Bully algorithm for timely system … an algorithm based on Support Vector Machine (SVM) for …

… selection algorithm, multiclass support vector machine and k-NN … for achieving better
detection accuracy using attribute … algorithm called Intelligent Agent based Attribute Selection …