Latest Articles for Cybersecurity

Exploring the role of safety critical control in power system security.

Examining the risks posed to drones by perception manipulation.

New framework improves attack efficiency on graph neural networks by targeting vulnerabilities.

A method to predict software vulnerabilities by transferring knowledge between programming languages.

A new approach enhances the effectiveness of adversarial examples in AI systems.

A new method leverages causality to guard against backdoor threats in deep learning models.

Analyzing the threats in federated learning and potential security measures.

A new method improves detection of network anomalies while ensuring data privacy.

MetaTroll adapts quickly to new influence campaigns on social media.

Exploring the cybersecurity threats faced by autonomous vehicles and the importance of LiDAR data protection.

This study investigates extracting model information from adversarial images to enhance AI security.

A study on improving vulnerability management amidst incomplete reports.

A software approach to protect sensitive data in affordable IoT devices.

A study on improving power system stability against disruptions.

Exploring secure revocation of keys in quantum cryptographic systems.

A look at the advancements in asynchronous MDI-QKD for secure key sharing.

Learn how to identify and filter spam emails for safer online communication.

A novel approach to sharing keys securely between mobile robots and their controllers.

New strategies for safeguarding deep neural networks against unauthorized use.

Assessing the security of code generated by Large Language Models through LLMSecEval.

This new system protects digital signatures against the risks of quantum computing.

Research reveals a method to improve adversarial examples' effectiveness in fooling machine learning models.

This study explores LiDAR spoofing attacks and their implications for self-driving cars.

A new method enhances Automatic Speech Recognition against adversarial challenges.

This study explores novel graph techniques for improved Android malware classification.

New algorithms enhance detection capabilities against IoT cyberattacks.

Explore how generative AI enhances cybersecurity in emerging 6G IoT networks.

An overview of malware types, risks, and modern detection methods.

This article examines feature selection techniques for enhancing intrusion detection systems.

A Masked Autoencoder enhances detection and repair of adversarial inputs in AI systems.

Examining the challenges and developments in the cyber-insurance market.

Analyzing the effectiveness of backdoor methods in privacy attacks.

A study reveals serious security vulnerabilities in critical OT systems.

Combining federated learning and blockchain enhances data security and user privacy.

Learn how ARNN helps detect and classify botnets effectively.

Introducing a framework for safer neural network verification using symbolic reasoning.

A new approach improves the safety of interconnected machine learning systems.

BlockFW uses blockchain technology to strengthen network security and management.

InnerCore provides quick insights into blockchain networks by analyzing key actors and market sentiment.

A new method enhances neural network resilience against adversarial attacks while maintaining accuracy.