Latest Articles for Cybersecurity

A method to evaluate trust in ultra-wideband localization technology.

Improving threat detection by using LLMs to analyze endpoint activity.

An overview of risks and methods related to language model safety.

A new method to identify obfuscated command-line activities in cybersecurity.

Comidds offers updated information on datasets for intrusion detection research.

Analyzing vulnerabilities in popular code completion tools and their implications for developers.

Research focuses on improving machine learning defenses against adversarial attacks.

Examining how AI can improve security code generation through context.

Study reveals advancements in detecting software vulnerabilities using specialized classifiers.

This article examines how adversarial examples affect malware detection systems.

An overview of how technology shapes various sectors today.

Analyzing software failures helps improve practices in various industries.

Using Large Language Models to enhance vulnerability detection in software code.

Examining vulnerabilities and defenses in diffusion models for safe content generation.

A new method enhances detection of malicious activities in computer networks.

Exploring the impact of adversarial attacks on explainability in deep learning.

Research focuses on detecting deepfake audio through improved techniques and data expansion.

Examining security concerns in user feedback mechanisms for code generation tools.

Utilizing language models to enhance vulnerability detection datasets.

Digital Twins help airports strengthen defenses against growing cyber threats.

Exploring the role of Transformers and LLMs in enhancing network security.

An overview of DoS attacks and modern defense strategies.

Introducing a tool for evaluating unsupervised anomaly detection methods in federated learning.

A look into the experiences and needs of threat hunters facing rising cyber threats.

This article explores the role of LLMs in detecting network threats.

A look at how neurosymbolic AI can improve cybersecurity incident response.

A study reveals vulnerabilities in logic locking affecting data security.

A framework guides the selection of effective pre-trained models for vulnerability detection.

Swarm-Net enhances IoT security using SRAM and Graph Neural Networks.

PhishLang offers improved detection for phishing websites using advanced analysis techniques.

Examining the impact of gender diversity on hiring in cybersecurity.

Learn how LLMs are changing attack graph creation in cybersecurity.

This study assesses LLMs' effectiveness in finding vulnerabilities across programming languages.

Malacopula challenges the reliability of automatic speaker verification technologies.

New method Hound enhances protection against side-channel attacks.

ByCAN automates the reverse engineering of CAN messages for improved vehicle communication.

A look at the challenges in updating security methods for digital data.

Research explores AI's role in detecting phishing webpages more effectively.

MACPrint offers improved app recognition from WiFi traffic analysis.

This article discusses improving the robustness of quantum machine learning models against adversarial attacks.