The surge in DDoS attack traffic this year has been driven in part by the rapid expansion of IoT devices - from smart watches ...

As Internet of Things (IoT) devices proliferate in sectors like smart cities, health care, and industrial systems, they have ...

A recent study introduces an advanced anomaly-based intrusion detection system (IDS) designed to address the increasing cyber ...

Generative AI and machine learning tools ... integrating anomaly detection, traffic analysis and predictive models to accelerate the mitigation of DDoS and other attacks. By using AI to simulate ...

The cybersecurity landscape today feels like a constant game of cat and mouse. Every time we think we’ve outpaced the attackers; they find new ways to exploit vulnerabilities. Enter artificial intelli ...

AI is increasingly being integrated into DDoS attack planning and execution. Attackers use machine learning algorithms to ... techniques such as IP spoofing or using a large pool of distributed IPs ...

This project is a DDoS (Distributed Denial of Service) attack detection system built using Python. The system uses a machine learning model to predict whether a given network request is normal or ...