Tags → #data security

OblivCDN Introduces Privacy-Preserving Content Delivery Network

Recent research introduces the OblivCDN system, which aims to enhance data privacy and security in video delivery through advanced techniques while maintaining efficiency and scalability.
Digital Will System Introduced for Managing Online Legacies

A recent study presents a digital will management system that utilizes advanced encryption and blockchain technology to enhance the security and efficiency of managing online inheritances.
PM-Dedup System Enhances Data Deduplication and Security

A recent study on the PM-Dedup system highlights its potential to enhance data security and management in cloud computing through efficient data deduplication processes.
Survey of TEE-based Key-Value Stores in Cybersecurity

Recent research on SGX-based Key-Value Stores highlights the potential of Trusted Execution Environments to enhance data security and performance while addressing vulnerabilities in cybersecurity.
Quantum Learning Framework Enhances Cybersecurity and Data Security

New research introduces a Quantum Label Encoding Framework that enhances data security and resilience against eavesdropping, paving the way for advanced Quantum-Enhanced Intrusion Detection Systems.
Research Explores Backdoor Defense in Graph Neural Networks

Recent research explores data isolation techniques to enhance the security of Graph Neural Networks against backdoor attacks, highlighting methods for identifying and mitigating compromised samples during model training.
AI and Cybersecurity: Privacy, Consent, and Innovations

The intersection of artificial intelligence and cybersecurity is evolving, highlighting the need for enhanced privacy measures and user-centric consent management systems to ensure data security and compliance.
Machine Learning Advances Ransomware Detection in Storage Systems

Recent research has made significant advancements in ransomware detection, focusing on improving computational efficiency, generalizability, and evasion resistance in cybersecurity frameworks.
Research Identifies Security Vulnerabilities in VSCode Extensions

Recent research has identified significant security vulnerabilities in Visual Studio Code extensions, particularly related to the risk of credential leakage, highlighting the need for improved security protocols in their development and deployment.
Noise-Resilient Homomorphic Encryption Framework for Healthcare Data

Recent advancements in Fully Homomorphic Encryption, particularly the Proposed Homomorphic Integrity Model, aim to enhance data privacy and efficiency in cryptographic operations, with potential applications in sectors like healthcare and finance.