[4] Fatima Khashab, Joanna Moubarak, Antoine Feghali , and Carole Bassil.”DDoS Attack Detection and Mitigation in SDN using Machine Learning”,IEEE 7th International Conference on Network ...

Scientists have revealed that Convolutional Neural Networks (CNNs), a type of deep learning algorithm, demonstrate superior ...

Researchers developed a two-stage ML model to predict coating degradation by linking environmental factors to physical ...

In an era where AI accelerates both attack velocity and complexity, overlooking the risk of insider threats is negligent.

Hardware Trojans Detection Using GNN in RTL Designs” was published by researchers at University of Connecticut and University ...

Revolutionizing Brain Health with CUHK Spin-off's Cutting-Edge Technology to Enable Early Detection and Prevention. HONG KONG SAR- Media OutReach Newswire - 29 May 2025 - Humansa, Asia's leading ...

Miller's Law states, "To understand what another person is saying, you must first assume what the person said is true and ...

This project presents a comparative study of various machine learning algorithms for detecting Distributed Denial of Service (DDoS) attacks using a labeled network traffic dataset (ddos.csv). The ...

Distributed Denial of Service (DDOS) is one of the most significant threats among a wide variety of threats that can attack increasingly vulnerable computer networks. Traditional detection methods ...