The Synthetic Minority Oversampling Technique (SMOTE) preprocessing algorithm is
considered" de facto" standard in the framework of learning from imbalanced data. This is …

Abstract Network-based Intrusion Detection Systems (NIDSs) identify malicious activities by
analyzing network traffic. NIDSs are trained with the samples of benign and intrusive …

Abstract The Internet of Things (IoT) is adding the advancement in the technology for
creating smart environments to facilitate humans for various works. The technological …

Abstract Network Intrusion Detection is the process of monitoring the events occurring in a
computer system or the network and analyzing them for the signs of possible intrusions. An …

Abstract Network Intrusion Detection is the process of analyzing the network traffic so as to
unearth any unsafe and possibly disastrous exchanges happening over the network. In the …

With the increased dependence on the internet for day to day activities, the need to keep the
networks secure has become more vital. The quest of securing the computer systems and …

Feature extraction solves the problem of finding the most efficient and comprehensive set of
features. A Principle Component Analysis (PCA) feature extraction algorithm is applied to …

Text detection from the natural scene is considered to be a challenging problem due to the
complex background, varied light intensity at different locations, a large variety of colors …

Heterogeneous network is one of the challenges that must be overcome in Internet of Thing
Intrusion Detection System (IoT IDS). The difficulty of the IDS significantly is caused by …

Oil spill map** and detection represent a relevant issue from an environmental point of
view, given the effects on marine ecosystems. This study presents a new feature space …