TL;DR
Experimental results show that V5GIDS achieves strong detection performance in the evaluated settings while improving deployment relevance through orchestration alignment, reduced telemetry exchange, and resource-aware distributed operation.
Results show that GridCAD-LLM provides a resilient, explainable, and scalable foundation for securing DNP3-based smart-grid communications.
The rapid integration of Network Function Virtualization (NFV) in 5G-Advanced and 6G infrastructures has introduced significant security vulnerabilities, most notably in Distributed Denial-of-Service (DDoS) attacks. Modern DDoS threats have evolved into sophisticated multi- vector campaigns that leverage AI to bypass t...
The disintegration of the traditional network perimeter, precipitated by the accelerated adoption of hybrid cloud architectures and the proliferation of remote work, has necessitated a fundamental shift in cybersecurity strategy. This research presents an API-centric framework for security orchestration, grounded in th...
The framework is presented as a bounded, server-assisted robustness-oriented training strategy for heterogeneous IoT/edge intrusion detection, and shows competitive primary performance and stronger robustness in several severe label-skew settings.
Open-RAN is transforming 5G and Beyond-5G networks by promoting openness, flexibility, and interoperability across network components. However, this architectural shift introduces new security challenges due to expanded attack surfaces, distributed control mechanisms, and exposed interfaces. Traditional Intrusion Detec...
An AI-assisted, cross-layer security orchestration framework that integrates epoch-wise telemetry with ML-based risk estimation and formalizes mitigation as a Constrained Markov Decision Process (CMDP), and empirical evidence that adaptive mitigation can reduce security risk without sacrificing service guarantees is pr...
A new machine-learning approach broke records for weather forecasting for an important time frame in emergency planning.
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
Machine-learning networks can learn without detailed instructions from a designer. Those that do may offer insight into how the brain reorganizes itself during learning.
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
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