Abstract The Internet of Things (IoT) and cloud computing are rapidly gaining momentum as
decentralized internet-based technologies and have led to an increase in information in …

Abstract The Medical Cyber-Physical Systems (MCPS) are composed of several medical
devices and low-cost sensors for real-time diagnosis, monitoring, and decision-making …

Network traffic classification models, an essential part of intrusion detection systems, need to
be as simple as possible due to the high speed of network transmission. One of the fastest …

There are serious security issues with the quick growth of IoT devices, which are
increasingly essential to Industry 4.0. These gadgets frequently function in challenging …

This article presents an evaluation of BukaGini, a stability-aware Gini index feature selection
algorithm designed to enhance model performance in machine learning applications …

To determine the ideal functions for intrusion detection systems (IDS), the selection or
reduction of features is a complex process. Unnecessary features in the dataset will increase …

Network flaws are used by hackers to get access to private systems and data. This data and
system access may be extremely destructive with losses. Therefore, this network intrusions …

Feature Selection (FS) provides a vital role in the android malware detection system. The
researchers have presented FS methods and tested them on benchmark datasets, including …

Abstract Advanced Persistent Threats (APTs) are sophisticated, targeted cyberattacks
designed to gain unauthorized access to systems and remain undetected for extended …

With the rise in the number of IoT devices and its users, security in IoT has become a big
concern to ensure the protection from harmful security attacks. In the recent years, different …