Abstract: Network intrusion detection systems (NIDS) utilize signature and anomaly-based methods to detect malicious activities within networks. Advances in machine learning (ML) and deep learning (DL ...

Explore how AI-driven anomaly detection enhances the security of Model Context Protocol (MCP) deployments, protecting AI infrastructure from evolving threats with real-time insights.

As cars become software-driven, cloud-connected platforms, cybersecurity is no longer optional. From connected apps to OTA updates, user safety now depends on digital protection.

The NDR market is expanding due to increased cloud, remote work, and IoT adoption, creating complex attack surfaces. Opportunities include AI-driven anomaly detection, integration with EDR, XDR, SIEM, ...

The "Network Detection and Response (NDR) Market, 2024-2029" report has been added to ResearchAndMarkets.com's offering. The revenue estimate for 2024 is $2.61 billion, with a CAGR of 23.1% for the ...

ABSTRACT: This work presents an innovative Intrusion Detection System (IDS) for Edge-IoT environments, based on an unsupervised architecture combining LSTM networks and Autoencoders. Deployed on ...

1 Department of Electrical, Telecommunication and Computer Engineering, Kampala International University, Kampala, Uganda 2 Department of Publication and Extension, Kampala International University, ...

1 Department of Computer Science and Engineering, Oakland University, Rochester, MI, USA. 2 Department of Computer Science, Kettering University, Flint, MI, USA. Intelligent vehicles require strong ...

There was an error while loading. Please reload this page. Wireshark is a Layer 2–7 passive network traffic analyzer used extensively for packet capture (PCAP ...

Introduction: Wireless Sensor Networks (WSNs) play a critical role in the development of sustainable and intelligent smart city infrastructures, enabling data-driven services such as smart mobility, ...