Network World

Lumen: Upstream network visibility is enterprise security’s new front line

Lumen focuses on telemetry from the internet backbone, where the largest ISPs interconnect, to reveal attack patterns that ...
TMCnet

Machine Learning Advances in Predictive Cyber Threat Detection

Cyber threats are increasing in speed and complexity, driving the need for advanced detection techniques. Machine learning is ...
IEEE

A DeepSHAP-Based Adversarial Attack on Machine Learning-Based Network Intrusion Detection

Abstract: We propose an adversarial attack for machine-learning-based network intrusion detection systems that selectively alters only the most influential features. Unlike conventional attacks such ...
CSO Online

The noisy tenants: Engineering fairness in multi-tenant SIEM solutions

Cloud SIEMs are great until a "noisy neighbor" hogs all the resources. You need a vendor that actually engineers fairness so ...

Dhruv Patel: Advancing Cybersecurity And Distributed Intelligence In The Digital Age

Dhruv Patel's work demonstrates how advanced expertise in distributed systems, AI, and cybersecurity can influence digital ...
pv magazine USA

All emerging cyber threats targeting power infrastructure at a glance

Researchers in Morocco analyzed cybersecurity challenges in smart grids, highlighting AI-driven detection and defense strategies against threats like distributed denial-of-service, false data ...
IEEE

Event-Driven Intrusion Detection Systems using Spiking Neural Networks for Edge and IoT Security

Abstract: The rapid growth of Internet of Things (IoT) devices and the increasing difficulty of cyber-attacks highlight the need for novel, energy-efficient, and real-time Intrusion Detection Systems ...