Intrusion detection is a critical aspect of network security to protect computer systems from
unauthorized access and attacks. The capacity of traditional intrusion detection systems …

This study provides a comprehensive analysis of the dynamic amalgamation of intrusion
detection and big data, revealing trends and patterns within cybersecurity research. The …

To enhance the universal adaptability of the Real-Time deployment of Industry 5.0, various
machine learning-based cyber threat detection models are given in the literature. Most of the …

The problems of asymmetry in information features and redundant features in datasets, and
the asymmetry of network traffic distribution in the field of network intrusion detection, have …

Combating fake news is a crucial endeavor, yet the complexity of the task requires
multifaceted approaches that transcend singular technological solutions. Traditional fact …

Traditional intrusion detection methods often fail to meet the unique security requirements of
IoT applications, raising serious security concerns due to the rapid expansion of the Internet …

Combating fake news is a crucial endeavor, yet the complexity of the task requires
multifaceted approaches that transcend singular technological solutions. Traditional fact …