The exponential growth of network size leads to increase attacks and intrusions. Detection of
these attacks from the network has turned into a noteworthy issue of security. An intrusion …

The massive growth of data in the network leads to attacks or intrusions. An intrusion
detection system detects intrusions from high volume datasets but increases complexities. A …

Two important control strategies for Rough Set based reduct computation are Sequential
Forward Selection (SFS), and Sequential Backward Elimination (SBE). SBE methods have …

Rough set theory has been successfully applied to many fields, such as data mining, pattern
recognition, and machine learning. Kernel rough sets and neighborhood rough sets are two …

This paper firstly uses logistic regression and Stochastic Gates to roughly estimate the deceit
prediction accuracy and then investigates feature selection methods like meta-heuristic and …

This paper investigates some novel feature selection methods such as Stochastic Gates,
LassoNet and Fuzzy Roguh Sets to fetch appropriate features for deceit detection, designing …