Latest Articles for Network Security

Discover how Monadring revolutionizes transaction efficiency in blockchain.

A new method improves detection of advanced persistent threats using machine learning.

New findings reveal lower cop numbers needed for capturing robbers in string graphs.

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

Assessing security risks in the Open Radio Access Network design.

A method for monitoring software adherence to security protocol rules.

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

A new method for traffic sampling in dynamic network conditions.

Exploring new protocols for secure consensus in decentralized networks using quantum technology.

A new method for detecting DDoS attacks using large language models.

A new measure to strengthen Network Intrusion Detection Systems against adversarial attacks.

A new approach to enhance network traffic analysis through graph-based models.

Introducing FedHide for secure federated learning with privacy preservation.

Using Reconfigurable Intelligent Surfaces to enhance key generation in wireless communication.

Discover methods to secure communication in distributed systems against eavesdroppers.

A method using VAEs enhances anomaly detection in Intrusion Detection Systems.

A look at privacy concerns in centralized and decentralized learning systems.

MEGA-PT improves penetration testing effectiveness and adaptability for better cybersecurity.

A new method protects privacy while finding maximum values in distributed networks.

This article discusses enhancing unsupervised anomaly detection using classification methods.

Innovative methods improve detection of malware through deep packet inspection.

This article examines the impact of inaccurate geolocation on Internet research.

A new method safeguards decentralized learning from data poisoning attacks.

Exploring the dynamics of Cops and Robbers on graphs and its implications.

Automated testing enhances security in healthcare systems, addressing evolving cyber threats.

We analyze the impact of mTLS on service mesh performance.

Research reveals risks of property inference attacks on GNNs and the need for data privacy.

A look at protecting privacy in modern mobile networks with Open RAN.

O-RAN offers better coverage but faces security challenges that need addressing.

Discover how NIDS-GPT transforms network intrusion detection with innovative techniques.

FCLG helps analyze data from graphs without sharing sensitive information.

A look into Bitcoin mining, rewards, and the challenges miners face.

New methods help devices coordinate during attacks on control channels.

Pulsar Consensus offers a modern, efficient method for transaction validation in digital currencies.

NetOrchLLM improves wireless networks with smart coordination and efficient task management.

Learn how NIDS and advanced models boost cybersecurity efforts.

Discover how Magnifier transforms mobile device network tracking effortlessly.

Learn how cyber graphs help combat attacks effectively.

Learn how Byzantine fault tolerance ensures system reliability in the face of failures.

MIETT uses advanced techniques for efficient encrypted traffic classification.