Microsoft

Turning threat reports into detection insights with AI

Security teams often spend days manually turning long incident reports and threat writeups into actionable detections by ...

cside Launches VPN Detection Engine as Regulatory Crackdowns Ramp Up

cside VPN Detection sits within cside's complete client-side security and compliance platform. Customers can configure and customize responses when VPN traffic is detected, such as fully blocking ...
IEEE

FL-MU: A Benchmark Dataset for Federated Intrusion Detection in IoT Networks

Abstract: Due to the tremendous deployment of sensors, actuators, and remote devices, Internet of Things (IoT) networks have gained popularity across a wide range of application domains. As a result, ...
IEEE

Scalable Intrusion Detection in IoT Networks Via Property Testing and Federated Edge AI

Abstract: The rapid proliferation of Internet of Things (IoT) devices has expanded the attack surface for cyber threats, necessitating real-time and scalable security solutions. Traditional Intrusion ...
IEEE

KAN-MID: A Kolmogorov-Arnold Networks-Based Framework for Malicious URL and Intrusion Detection in IoT Systems

Abstract: The growing sophistication of cyberattacks, especially with the ubiquity of the Internet of Things (IoT), highlights the urgent need for stronger detection and protection strategies. With ...
IEEE

A Hybrid Network of CNN and Transformer for 3D Lane Detection

Abstract: 3D lane detection is a critical and challenging task in autonomous driving, yet accurately capturing the spatial structure and precise location of lane markings remains challenging in ...
IEEE

An Explainable Hybrid Deep Learning Framework for Network Intrusion Detection Using Feature-Guided CNN Models

Abstract: Cybersecurity risks have evolved in the linked digital terrain of today into more complex, frequent, and varied forms. Conventional intrusion detection systems sometimes find it difficult to ...
IEEE

MTRF: Multidomain Transformation Representation for Network Flows in Network Intrusion Detection

Abstract: In IoT device applications, due to privacy protection requirements, it is often impossible to obtain large-scale labeled datasets for model training. A representation model that effectively ...
IEEE

AE-CNN Ensemble: A Novel Architecture for Effective Network Intrusion Detection and Classification

Abstract: The escalating scale and sophistication of cyberattacks pose a formidable challenge to conventional intrusion detection systems (IDS) because they lack the flexibility to adapt to evolving ...
Frontiers

Transferable CNN-based data mining approaches for medical imaging: application to spine DXA scans for osteoporosis detection

Introduction: Osteoporosis is the leading cause of sudden bone fractures. This is a silent and deadly disease that can affect any part of the body, such as the spine, hips, and knee bones. Aim: To ...
IEEE

A Survey on Security and Privacy in Federated Learning-Based Intrusion Detection Systems for 5G and beyond Networks

Abstract: The rapid growth of Internet of Things (IoT) devices and the introduction of 5G networks have created new opportunities for enhancing network services, while also introducing significant ...