Latest Articles for Cybersecurity

Mean Field Games analyze interactions among many players to find optimal strategies.

NoPhish extension utilizes machine learning to combat phishing threats online.

Exploring how digital fingerprints impact privacy and security online.

Discover how Federated Learning keeps data private while enabling collaboration in IIoT.

A study on how cyber threats affect power grid operations.

New methods improve how software vulnerabilities are detected using AI.

FIP enhances model training to prevent harmful data manipulation.

Improving botnet detection methods through machine learning and adversarial defense strategies.

A new method enhances federated learning's security by combating Byzantine attacks effectively.

This article discusses the impact of DoS attacks on vehicle platoons.

Combining security and reliability to improve autonomous vehicle image processing systems.

This article explores the impact of attacks on machine learning models and defensive strategies.

This study compares different LLMs for finding faults and detecting vulnerabilities in software.

Addressing security risks in network-booting systems for academic environments.

A study on phishing tactics in the Ethereum blockchain and ways to fight back.

NoiseAttack alters multiple classes in backdoor attacks using subtle noise patterns.

Learn how hidden triggers can manipulate language models and pose serious risks.

Introducing a framework to secure wireless networks against emerging threats.

Research reveals methods to protect against side-channel attacks on FPGAs.

A new framework improves simulations for emergency response efficiency.

Improving cybersecurity through enhanced anomaly detection using GNNs.

An overview of Quantum Key Distribution and its role in secure communication.

Discovering secure methods for data sharing in advanced communication systems.

SDOoop enhances real-time data analysis by detecting nuanced anomalies effectively.

A method for monitoring software adherence to security protocol rules.

IoT security needs urgent attention for safer device interactions.

LoRD improves efficiency in model extraction attacks on large language models.

New framework GenDFIR enhances the analysis of cyber event timelines.

A look into quantum sieving’s role in enhancing code-based cryptography.

This paper addresses control-flow leakage threats and proposes a new hardware-software approach.

Examining how important data points attract more security risks in machine learning.

A new IDS model provides efficient DDoS detection in Software Defined Networks.

Learn how security practices can improve software development and reduce risks.

Quantum machine learning enhances anomaly detection for improved security in various sectors.

Exploring the significance of lightweight cryptography and MDS matrices for secure communication.

A practical approach to enhance ML models against adversarial inputs in network management.

New methods help detect cyberattacks in complex power systems.

A new system enhances bug detection in smart contracts.

A new approach to safeguarding system logs from unauthorized access and tampering.

A new model improves detection of audio deepfakes with continuous learning.