Latest Articles for Cybersecurity

SOSK helps users track and extract keywords from software security reports.

Introducing Wavelet-CLIP for improved detection of deepfake images.

Research reveals vulnerabilities in AV lane detection through negative shadows.

Innovative methods improve detection of malware through deep packet inspection.

New design improves reliability and security for IoT devices using PUF technology.

As technology advances, software security faces new challenges and opportunities.

New methods enhance security practices in interconnected industrial systems.

Examining the impact and lessons of the DarkSeoul cyberattack on South Korea.

Investigating the quality and security concerns of AI-generated code.

Discover how tensor networks enhance anomaly detection across various fields.

Learn how to protect language models from manipulation and ensure secure responses.

A comprehensive dataset for network traffic analysis and anomaly detection.

An overview of traditional and deep learning methods in network security.

Research reveals weaknesses in online toxicity detection using ASCII art techniques.

Team semantics enhances verification of complex properties in software systems.

Automated tools are crucial for verifying hardware security in modern devices.

New methods improve data usage auditing in Federated Learning systems.

A study comparing privacy threats in spiking and artificial neural networks.

A new method safeguards decentralized learning from data poisoning attacks.

A framework using MLP and SVM identifies Android malware effectively.

TrojVLM exposes vulnerabilities in Vision Language Models to backdoor attacks.

A new method to improve Federated Learning's resilience against data attacks.

A new approach enhances malware detection while resisting adversarial attacks.

New method raises security concerns in EEG systems while highlighting potential protective uses.

Examining privacy vulnerabilities in federated learning and their implications for data security.

This paper discusses a new approach to cybersecurity using Probabilistic Obstruction Temporal Logic.

Explore how new encryption standards protect our data from quantum threats.

Mammogram analysis faces risks from cyber-attacks, demanding stronger AI defenses.

Automated testing enhances security in healthcare systems, addressing evolving cyber threats.

A look into membership inference attacks and their relevance in data privacy.

New methods for digital signatures aim to stay safe from quantum computing risks.

Discover how emojis can bypass AI language model safety measures.

MASA offers a solution to enhance security in Federated Learning systems.

This article discusses the effects of denial-of-service attacks on cyber-physical systems and ways to mitigate them.

Sparse AC FDI attacks can compromise power system stability through minimal measurement changes.

Examining risks and solutions for memory safety in IoT devices.

Discover how RA-WEBs enhances web service security using Trusted Execution Environments.

A new method to protect smart meters from FDI attacks while preserving privacy.

A look into how Digital Twin technology enhances manufacturing processes.

Researchers present a cost-effective approach to privacy risks in large language models.