1148 matches found
Zero-Trust Agentic Federated Learning for Secure IIoT Defense Systems
Recent attacks on critical infrastructure, including the 2021 Oldsmar water treatment breach and 2023 Danish energy sector compromises, highlight urgent security gaps in Industrial IoT IIoT deployments. While Federated Learning FL enables privacy-preserving collaborative intrusion detection,...
Verifiable Passkey: The Decentralized Authentication Standard
Passwordless authentication has revolutionized the way we authenticate across various websites and services. FIDO2 Passkeys, is one of the most-widely adopted standards of passwordless authentication that promises phishing-resistance. However, like any other authentication system, passkeys requir...
Fedify 安全漏洞
Fedify is a TypeScript library by the individual developer Hong Minhee. It is used to build federated server applications supported by ActivityPub and other standards. A security vulnerability exists in Fedify versions prior to 1.6.13, 1.7.14, 1.8.15, and 1.9.2, which stems from a regular...
LegionITS: A Federated Intrusion-Tolerant System Architecture
The growing sophistication, frequency, and diversity of cyberattacks increasingly exceed the capacity of individual entities to fully understand and counter them. While existing solutions, such as Security Information and Event Management SIEM systems, Security Orchestration, Automation, and...
CVE-2025-66402 misskey.js's export data contains private post data
Misskey is an open source, federated social media platform. Starting in version 13.0.0-beta.16 and prior to version 2025.12.0, an actor who does not have permission to view favorites or clips can can export the posts and view the contents. Version 2025.12.0 fixes the issue...
Security Bulletin: IBM® Db2® federated Server is vulnerable to sensitive information disclosure under specific conditions (PRISMA-2021-0055)
Summary IBM® Db2® federated Server is affected by a vulnerability in Apache Commons Codec that could allow a remote attacker to obtain sensitive information, caused by the improper validation of input. An attacker could exploit this vulnerability using a method call to obtain sensitive informatio...
An Efficient Privacy-Preserving Intrusion Detection Scheme for UAV Swarm Networks
The rapid proliferation of unmanned aerial vehicles UAVs and their applications in diverse domains, such as surveillance, disaster management, agriculture, and defense, have revolutionized modern technology. While the potential benefits of swarm-based UAV networks are growing significantly, they...
FedPoisonTTP: A Threat Model and Poisoning Attack for Federated Test-Time Personalization
Test-time personalization in federated learning enables models at clients to adjust online to local domain shifts, enhancing robustness and personalization in deployment. Yet, existing federated learning work largely overlooks the security risks that arise when local adaptation occurs at test tim...
Federated Anomaly Detection and Mitigation for EV Charging Forecasting under Cyberattacks
Electric Vehicle EV charging infrastructure faces escalating cybersecurity threats that can severely compromise operational efficiency and grid stability. Existing forecasting techniques are limited by the lack of combined robust anomaly mitigation solutions and data privacy preservation...
Trustworthy GenAI over 6G: Integrated Applications and Security Frameworks
The integration of generative artificial intelligence GenAI into 6G networks promises substantial performance gains while simultaneously exposing novel security vulnerabilities rooted in multimodal data processing and autonomous reasoning. This article presents a unified perspective on cross-doma...
Scalable Hierarchical AI-Blockchain Framework for Real-Time Anomaly Detection in Large-Scale Autonomous Vehicle Networks
The security of autonomous vehicle networks is facing major challenges, owing to the complexity of sensor integration, real-time performance demands, and distributed communication protocols that expose vast attack surfaces around both individual and network-wide safety. Existing security schemes...
Data Poisoning Vulnerabilities across Healthcare AI Architectures: A Security Threat Analysis
Healthcare AI systems face major vulnerabilities to data poisoning that current defenses and regulations cannot adequately address. We analyzed eight attack scenarios in four categories: architectural attacks on convolutional neural networks, large language models, and reinforcement learning...
Federated Cyber Defense: Privacy-Preserving Ransomware Detection across Distributed Systems
Detecting malware, especially ransomware, is essential to securing today's interconnected ecosystems, including cloud storage, enterprise file-sharing, and database services. Training high-performing artificial intelligence AI detectors requires diverse datasets, which are often distributed acros...
EUVD-2012-3288
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EUVD-2016-6573
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EUVD-2005-1521
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EUVD-2021-26537
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EUVD-2011-3106
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