Researchers have developed an artificial intelligence model that predicts crime more accurately than several existing ...
Abstract: As network systems expand in complexity, the necessity for effective intrusion detection grows. This study compares two distributed machine learning systems utilizing different communication ...
A new study published in Frontiers in Computer Science introduces a decentralized cybersecurity model that combines federated learning and blockchain to enable secure, transparent, and collaborative ...
With Internet of Things (IoT) devices projected to surpass tens of billions globally, traditional rule-based security systems are struggling to cope with the scale, diversity, and dynamic nature of ...
An international research team developed a multi-stage intrusion detection system that uses supervised and unsupervised AI techniques to detect and mitigate cyber threats in smart renewable energy ...
The field of cybersecurity is being reshaped by rapid advancements in automation, AI, and exponentially increasing data complexity. AI-based machine-learning systems protect an array of systems, ...
Quantum cryptography has emerged as a radical research field aimed at mitigating various security threats in modern communication systems. The integration of Quantum Machine Learning (QML) protocols ...
From generative AI and virtual prototyping to the Internet of Things, blockchain and data analytics, Merkle has predicted that four shifts in the business-to-business market will shape tech buying ...
Abstract: Vehicular ad hoc networks (VANETs) are a subsystem of the proposed intelligent transportation system (ITS) that enables vehicles to communicate over the wireless communication infrastructure ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results