Latest Articles for Cybersecurity

A new method poses significant risks to privacy in federated learning.

A guide to measuring and managing cyber risks effectively.

HELIX creates synthetic datasets for better program similarity analysis.

This study presents a new model for online malware clustering using machine learning.

Routed Bell tests improve the efficiency and security of Quantum Key Distribution systems.

A closer look at selfish mining attacks and their impact on blockchain security.

This article explores modern methods for detecting malware using deep learning and innovative technologies.

Using Generative AI and MoE for improved communication security.

A look at the rise of malware as a service in cybersecurity.

A new system improves malware detection by understanding behavior changes.

Exploring the importance and methods of recovery in cyber-physical systems after cyber attacks.

Phishing email attacks are changing with AI technology, making detection more challenging.

A guide to the methods of computing the generalized chi-square distribution.

Essential services face increasing threats; protecting them is crucial for national safety.

This research enhances anomaly detection by using noise-generated pseudo anomalies for better model training.

Inductive GNNs face privacy threats from link stealing attacks.

AI is reshaping offensive cybersecurity, helping simulate attacks and find vulnerabilities.

A look at how side-channel attacks target cryptographic keys.

Shadow-free MIAs reveal vulnerabilities in user recommendation systems.

Learn how language models help detect and filter SMS spam effectively.

This study examines methods to enhance plugin security in software development.

A real-time approach to detect DDoS attacks using packet streams.

A new method improves security and privacy in continuous authentication for devices.

A look at the risks adversarial machine learning poses to autonomous spacecraft.

A lab teaches students to use AI for combating cyberharassment.

Learn how secret sharing protects sensitive information through distributed shares.

PARDEN improves safety in language models against harmful responses.

A look into the risks of Membership Inference Attacks on data privacy.

A method to improve regression model reliability in the face of attacks.

A new method enhances vulnerability assessment using real-world exploit data.

New system protects autonomous vehicles from GPS spoofing attacks.

Examining the weaknesses of DNNs against adversarial examples and their implications.

Study reveals how attackers estimate network function capacities before launching DDoS attacks.

QUIC improves online communication with speed and security.

A new training method enhances model safety against universal attacks.

Cybersecurity requires diverse insights to tackle modern challenges effectively.

A new method for detecting vehicle misbehavior while protecting privacy.

A study on improving video stream detection while maintaining user privacy.

A method to analyze network telescope data for identifying coordinated computer activities.

SPSG improves model stealing efficiency using superpixels and sample gradients.