Latest Articles for Cybersecurity

GAD-NR enhances anomaly detection in graphs through comprehensive neighborhood reconstruction.

A novel framework enhances vulnerability detection using advanced graph techniques.

A look at ensuring reliability in auditable data structures.

Organizations face unique security challenges in multi-cloud setups.

A look into how PassGPT and PassVQT enhance password security.

A look at identifying fake audio in today's tech-driven world.

Exploring secure ways to compute collaboratively without revealing private information.

Methods for secure messaging in the presence of potential threats.

A method to restore meaningful variable names in software analysis.

Exploring how quantum technology boosts safety in digital transactions.

Exploring generative AI's dual role in enhancing and challenging network security.

This article discusses data privacy risks and detection methods in federated learning.

A look at challenges and defenses in automatic speaker verification systems.

Learn how Sustainable Adaptive Security protects smart homes from emerging threats.

This article discusses active cyber defense as a strategy against malware threats.

A new approach enhances privacy in machine learning while maintaining speed and accuracy.

Federated Learning enhances security for IoT devices while protecting user data.

Exploring the integration of TEEs and security coprocessors for better data protection.

Examining the role of Semantic Communication in connected vehicle environments.

Innovative technique enhances protection against power side-channel attacks.

New methods enhance defenses against adversarial attacks in deep learning systems.

Bayesian Reinforcement Learning enhances voltage control amidst cyber threats.

Study reveals how key fingerprint length affects security and usability.

Examining how Solidity updates affect Ethereum smart contract vulnerabilities.

A guide to privacy threats in smart vehicles and how to safeguard personal data.

A new framework tackles challenges of Byzantine agents in distributed optimization.

Exploring prompt injection threats in LLM-integrated applications.

Examining the impact of adversarial attacks on network intrusion detection systems.

This article examines the privacy concerns tied to diffusion models and proposes solutions.

This article discusses strategies to mitigate privacy risks in machine learning.

Examining the threats of bribery to blockchain security and integrity.

New methods emerge to protect voice recognition from adversarial attacks.

Analyzing cloning and shading methods to improve software security.

Hardware IP theft poses risks to the semiconductor industry and global supply chain.

A novel technique checks for training data exposure in diffusion models.

Improving AI tools for generating code from natural language descriptions.

A new method enhances safety for connected and automated vehicles amid potential threats.

Examining how machine learning addresses challenges in digital forensics.

A new method using ChatGPT for identifying phishing websites.

Examining how national CSIRTs use public information and free tools for incident response.