Latest Articles for Data Security

This paper examines the use of artificial noise to secure VLC data transmissions.

A new approach for secure anomaly detection in graph data.

New methods enhance privacy and accuracy in secure computing environments.

Learn how quantum randomness enhances data security in technology.

Addressing privacy concerns in systems that manage sensitive data.

Explore how AI improves efficiency across healthcare, maintenance, and agriculture.

A look into improving resource allocation in quantum computing networks.

Exploring the vulnerabilities in zero-knowledge proofs in cryptography.

Secure Scattered Memory protects data content and access patterns effectively.

A new system improves identification accuracy and data privacy for wearable tech.

New methods to safeguard sensitive data against unauthorized access in machine learning.

This article examines the dangers of harmful fine-tuning in language models.

A new method reveals backdoor attack threats in machine learning without sensitive data access.

This study analyzes the ability of IBM's quantum computers to generate truly random numbers.

Examining the effectiveness and vulnerabilities of watermarking in AI-generated content.

This article examines the impact of underwater conditions on quantum communication systems.

A new method for verifying IoT data using IOTA and TPM technologies.

Learn how to protect your data privacy in cloud computing.

Federated learning improves face recognition while protecting user privacy.

Combining CPABE and OAuth 2.0 for better health data privacy.

This paper discusses adversarial training for robust quantum machine learning classifiers.

This article examines privacy measures in cloud computing and model predictive control.

A new method enhances deep learning model resilience against attacks using peer models.

A look at how blockchain improves healthcare data security and privacy.

Exploring the secure exchange of information through quantum principles.

Exploring how compute providers can ensure AI compliance with regulations.

Introducing a framework to enhance anomaly detection in Federated Learning systems.

New methods for creating MDS and involutory MDS matrices improve data security.

Research reveals effective attack on LWE systems with sparse binary secrets.

New model adapts to evolving data poisoning threats using interactive game theory strategies.

A new method enhances model robustness while maintaining performance on real-world tasks.

A new approach to secure computations on encrypted data.

This research highlights sparse coding's role in safeguarding neural network privacy.

A new framework aims to improve privacy in vehicular edge metaverses.

Bamboo offers a secure way to search encrypted data even after key compromise.

Introducing a secure yet efficient method for managing private data.

A method for generating synthetic data using Bayesian networks to protect privacy while allowing analysis.

A look at cryptographic problems in classical and quantum computing.

Analyzing eavesdropping risks in advanced wireless communication systems.

A framework to improve the safety and reliability of large language models.