Security Boulevard

AI-Driven Anomaly Detection for MCP Security.

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.
IEEE

Anomaly Detection in IoT Networks: A Deep Learning Approach Using Autoencoders

Abstract: The current fast proliferation of the Internet of Things (IoT) networks has made anomaly detection and security more difficult. Traditional methods are not able to detect hostile activities ...
Analytics Insight

Top Java Libraries for AI and Machine Learning in 2025

Overview: In 2025, Java is expected to be a solid AI and machine-learning language.Best Java libraries for AI in 2025 can ease building neural networks, predict ...
IEEE

Self-Supervised ECG Anomaly Detection Based on Time-Frequency Specific Waveform Mask Feature Fusion

Abstract: The imbalance of ECG signal data and the complexity of labeling pose significant challenges for deep learning-based anomaly detection. Traditional contrastive learning approaches for ECG ...
GitHub

SARC: Sentiment-Augmented Deep Role Clustering for Fake News Detection

This project contains the source code for the work "SARC: Sentiment-Augmented Deep Role Clustering for Fake News Detection", which has been accepted by WSDM 2026. Authors：Jingqing Wang, Jiaxing Shang* ...