Abstract The Internet of Things (IoT) has become an essential part of our daily lives.
However, with the increasing use of IoT, the number of botnet attacks targeting resource …

Intrusion Detection (ID) is an essential task in the cyberattacks domain built to secure
Internet applications and networks from malicious actors. The main shortcoming of the …

Features within the dataset carry a significant role; however, resource utilization, prediction-
time, and model weight are increased by utilizing high-dimensional data in intrusion …

The traditional support vector machine (SVM) requires manual feature extraction to improve
classification performance and relies on the expressive power of manually extracted …

Ensuring network security, particularly within the Industrial Internet of Things (IIoT), has
become paramount with the escalating reliance on Internet applications across diverse …

This work combines the Support Vector Machine (SVM) model with Ensemble Empirical
Mode Decomposition (EEMD) to present a novel method for drought prediction. The EEMD …

Intrusion Detection Systems (IDS) serve as critical components in safeguarding network
security by detecting malicious activities. Although IDS has recently been treated primarily …

The deployment of learning-based models to detect malicious activities in network traffic
flows is significantly challenged by concept drift. With evolving attack technology and …

In this paper, a novel Moth-Flame Optimization (MFO) algorithm, namely MFO algorithm
enhanced by Multiple Improvement Strategies (MISMFO) is proposed for solving parameter …

Polymer composites are a class of material that are gaining a lot of attention in demanding
tribological applications due to the ability of manipulating their performance by changing …