Artificial intelligence (AI) and machine learning (ML) are predicted to have a significant impact on future industrial ...

That’s the aim of predictive cyber resilience (PCR)—an emerging approach to security built on intelligence, automation and ...

Abstract: An intrusion detection system (IDS) plays a crucial role in network security by distinguishing hostile activities from network traffic. Conventional hardware-based IDS architectures have ...

Artificial Intelligence enabled threat detection for Blockchain attacks mainly involved in the application of deep learning and machine learning techniques to identify and mitigate vulnerable and ...

Distributed Cyber-Immune Mesh for Legacy Infrastructure Protection Using Adaptive AI Sentinels Note: This README is an ultra-condensed summary of the research reports published by Unpatentable.org. To ...

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What if technology could bridge the gap between spoken language and sign language, empowering millions of people to communicate more seamlessly? With advancements in deep learning, this vision is no ...

Abstract: Network Intrusion Detection Systems (NIDS) are widely used to secure modern networks, but deploying accurate and scalable Machine Learning (ML)-based detection in high-speed environments ...

Ukraine has unveiled a new acoustic drone detection system ‘FENEK’ designed to support mobile AA fire teams and enhance the protection of critical infrastructure. In an interview with Militarnyi, a ...