Latest Articles for Cybersecurity

A fresh approach improves identification of fake accounts on social media.

Examining vulnerabilities in the Military Health System post-Covid-19.

Examining how randomness impacts machine learning vulnerabilities and the need for better standards.

This article investigates how AI can aid in creating security assertions for hardware.

Research reveals hidden risks within machine learning models through steganography.

ALBUS offers improved detection for burst-flood DDoS attacks, enhancing internet security.

Examining challenges and strategies to enhance model defenses against adversarial attacks.

A new algorithm improves decentralized learning's resilience against attacks.

Learn how TEEs secure sensitive applications and data in modern technology.

ChatIDS helps users understand cybersecurity alerts in simple terms.

Researchers improve detection of machine-generated speech using phase information adjustments.

An overview of the Condorcet attack and its impact on transaction fairness.

An overview of infostealer malware, its methods, and impact on personal data.

A new file system offers advanced protection against ransomware attacks.

Ransomware evolves with AI, making detection increasingly difficult for cybersecurity systems.

A new model reveals key factors in evasion attack success.

A new model addresses privacy concerns in smart healthcare networks using blockchain and trust-based approaches.

A study reveals vulnerabilities in Apple's M1 and M2 to remote power analysis attacks.

Examining the need for cybersecurity in cyber-physical systems.

Exploring subtle image changes that mislead deep learning models in various fields.

A new approach to enhance privacy in encrypted databases.

FaaS optimizes edge computing for faster, safer data processing.

Using NLP methods to improve malware detection and prediction.

A new framework enhances Twitter bot detection by combining language models and graph techniques.

NATI[P]G simulates cyber threats to enhance grid resilience.

Using Rowhammer to create stable device fingerprints for enhanced security.

A new defense method tackles adversarial attacks on object detection in remote sensing images.

A new technique improves detection of backdoor attacks in federated learning models.

Research develops encrypted control for safer PAM applications.

Logs2Graphs enhances detection accuracy using graph-based methods for event logs.

This article discusses a new approach to handle adversarial examples in text.

A deep dive into the security challenges of Ethereum's smart contract verification.

DUBA is an advanced method for stealthy backdoor attacks on AI models.

IoTDevID provides a method for accurate identification of diverse IoT devices.

Examining the risks of data poisoning in SplitFed Learning applications.

This paper discusses model extraction attacks and defenses in inference serving systems.

A new method for better fault detection in Industrial Internet of Things systems.

Understanding Hardware Trojans and their impact on electronic device security.

Addressing risks in hardware design through resilience and collaboration.

Introducing a new defense mechanism against membership inference attacks in machine learning models.