Latest Articles for Cybersecurity

CrudiTEE introduces economic incentives for secure cryptocurrency key management.

Exploring side-channel attacks on neural networks using OpenVINO and their implications.

Federated learning offers a way to utilize data while maintaining user privacy.

A new method reveals hidden web caches and their vulnerabilities using timing analysis.

Explore how keystroke dynamics improves user authentication through typing analysis.

Learn to detect and prevent brute-force attacks through practical training scenarios.

Study shows increased vulnerability to QR code scams on college campuses.

This article explores new neural network models for understanding human decision-making in cybersecurity.

A new framework aims to bolster security for IoT devices against side-channel threats.

Learn how penetration testing can safeguard organizations from insider threats.

Machine learning offers new methods for faster and more accurate cybersecurity threat detection.

This article explores security challenges and testing methods for 5G networks.

Learn how security measures protect critical infrastructure from increasing cyber attacks.

This study presents a method to enhance tracing of security patches.

A study comparing machine learning models for evaluating vulnerabilities in C/C++ code.

This article reviews the weaknesses of multimodal models against various attack types.

Exploring the impact of biases on cybersecurity investments and defender strategies.

Exploring automated methods for identifying software vulnerabilities and their reliability.

Exploring how blockchain can improve the safety of large language models.

Exploring Quantum Local Differential Privacy to safeguard quantum data.

Exploring the threats posed by adversarial attacks in medical imaging.

MAARS framework enhances the security of timing-sensitive tasks in cyber-physical systems.

CSLS focuses on code structure for better vulnerability detection.

Active Directory attacks pose serious risks. Learn how to detect and respond.

A new tool improves detection of advanced persistent threats in cybersecurity.

This study examines privacy differences between decentralized and centralized federated learning.

MALT improves adversarial attack efficiency and success in image classification models.

This article reviews methods to protect image quality systems from adversarial attacks.

A review of machine learning methods for detecting vulnerabilities in Ethereum smart contracts.

A framework enhances security in connected vehicles while protecting user privacy.

This study examines the effectiveness of clean-label physical backdoor attacks in deep neural networks.

Explore recent improvements in regex functionality and performance.

Learn how program verification ensures software reliability in critical industries.

A new method ensures secure name matching while protecting sensitive data.

Examining the challenges and advancements in cryptography due to quantum computing.

This article discusses a method for introducing backdoors into neural networks during training.

Examining the threats posed by autonomous language model agents and their weaknesses.

A new method for privacy-preserving density estimation using stable list decoding.

Learn how anomaly detection enhances safety in healthcare IoT systems.

A new method enhances the protection of IC designs through efficient watermarking.