Understanding how threat hunting differs from reactive security provides a deeper understanding of the role, while hinting at how it will evolve in the future.

The cybersecurity landscape in 2026 will be dominated by AI-embedded risks, autonomous attacks, and supply chain ...

Intrusion detection systems, long constrained by high false-positive rates and limited adaptability, are being re-engineered ...

The current DARPA Advanced Technology Development program retains this theme with a focus on maturing advanced technologies ...

Introduction In today’s digital ecosystem, every connection is a double-edged sword expanding both capability and ...

ABSTRACT: Early detection of Alzheimer’s disease (AD) is critical for intervention and monitoring. Spontaneous speech is a rich behavioural signal of cognitive decline, yet many machine-learning ...

Abstract: This paper presents an adversarial machine learning approach to launch jamming attacks on wireless communications and introduces a defense strategy. In a cognitive radio network, a ...

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...