The significance of intrusion detection systems in networks has grown because of the digital
revolution and increased operations. The intrusion detection method classifies the network …

Recent technological advancements have significantly expanded both networks and data,
thereby introducing new forms of attacks that pose considerable challenges to intrusion …

With the tremendous growth and popularization of the Internet of Things (IoT), the number of
attacks targeting such devices has also increased. Therefore, enhancing the anomaly …

Feature Selection (FS) is a special preprocessing step in Machine Learning (ML) that
reduces the number of unwanted features in datasets to increase the accuracy of ML …

The reliable operation of power transmission networks depends on the timely detection and
localization of faults. Fault classification and localization in electricity transmission networks …

Feature extraction is a key challenging task to find the optimal features by alleviating
irrelevant features to improve the classification accuracy. The brute force methods yield …

Networks are strained by spam, which also overloads email servers and blocks mailboxes
with unwanted messages and files. Setting the protective level for spam filtering might …

The rapid growth of electronic commerce (e-commerce) has revolutionized the way Small
and Medium-sized Enterprises (SMEs) conduct business, enabling them to reach global …

With the increasing use of sophisticated technology within the 21st century, plus with the
pandemic that has hit the world over the past two years has made the recognition of online …

The number of cloud-, edge-, and Internet of Things (IoT)-based applications that produce
sensitive and personal data has rapidly increased in recent years. The IoT is a new model …