Latest Articles for Cybersecurity

Examining how probabilistic hyperproperties can enhance program security.

A look at membership inference attacks and their implications for data privacy.

Black-box attacks reveal vulnerabilities in interpretable deep learning models.

An analysis of how SPDM affects the performance of computing devices.

A study on how public DNS resolvers handle performance and reliability.

Exploring shared responsibilities and improving security for freelance developers.

Exploring the vulnerabilities of language models to prompt extraction attacks.

SecureFalcon effectively identifies software vulnerabilities with high accuracy and speed.

Addressing cybersecurity challenges in connected transportation technology.

False alarms greatly affect analysts' performance in identifying real cyber threats.

A model to safeguard personal information from misuse in organizations.

Learn how retroactive dynamic monitoring enhances network security and performance.

New method improves adversarial attacks on deep neural networks using semantic changes.

A new strategy enhances effectiveness of backdoor attacks through smarter sample selection.

Examining the strengths and weaknesses of split learning in data privacy.

CAPTCHAs are essential in distinguishing between humans and automated bots online.

Research shows random restarts outperform boosting in malware detection models.

ContractFix improves smart contract safety by automating vulnerability detection and patching.

ICAR framework enhances cybersecurity by linking vulnerabilities, threats, and assets effectively.

MIRA presents a secure approach to digital signatures using advanced mathematics.

A secure and private electronic voting system using blockchain.

Examining how BadNets exploit spam filters through backdoor tactics.

Cybercriminals exploit OT systems using new extortion tactics like DM-PLC.

Exploring the ethical dilemmas of using white worms against malware.

This article explores threats from malicious code in third-party packages.

Ensuring ship safety through advanced Cyber-HIL testing methods.

A novel framework enhances model selection for detecting outliers without labeled data.

Researchers explore defenses against harmful backdoor attacks on machine learning models.

Examining the need for effective verification in complex multi-agent systems.

A new method combines formal analysis and fuzz testing to improve 5G security.

A new approach to estimate financial risks from cyberattacks using real data.

This article examines player actions in CTF competitions for training improvements.

A fresh approach to tackling vulnerabilities in mixed classifiers.

Deep learning faces serious risks from adversarial attacks that mislead systems.

A study on improving firewall deployment for better protection in power networks.

A guide on choosing key features for improving IDS performance.

This study investigates the link between Technical Debt and security in software development discussions.

Examining how to protect personal health data in metaverse healthcare systems.

Exploring the security challenges and solutions in the evolving Web 3.0 landscape.

Learn how static analysis and program repair enhance software security and reliability.