Latest Articles for Network Security

Enhancing security in IoT through innovative CoAP protocol dialects.

This article introduces a reliable logical clock system for managing events in distributed networks.

Arma offers a scalable solution for reliable transaction processing in distributed networks.

Exploring the role of GNNs in the growth of IoT technologies.

This study develops algorithms to enhance distributed systems' resistance to faulty devices.

A new method improves data plane verification for large networks by using slices.

Agents improve predictions together while respecting privacy and limitations.

ECHO improves network traffic classification through machine learning techniques.

Learn how optimistic rollups improve blockchain speed and efficiency.

A new design combines quantum key distribution with Tor for better online privacy.

Aegis introduces expansion chains for enhanced blockchain capabilities and security.

Exploring the role of self-supervised learning in advancing wireless communication.

A method to enhance network intrusion detection by addressing class imbalance.

A comprehensive model aims to enhance security and dependability in 5G-MEC environments.

Examining how routing techniques influence censorship experiences worldwide.

Introducing QSketch and QSketch-Dyn for fast, memory-efficient data stream analysis.

This paper presents a new DNN-based IDS in programmable networks.

Examining how threshold automata improve distributed algorithm verification.

New framework improves detection of unusual patterns in graphs.

This research examines the effectiveness of Random Forest in detecting network anomalies.

A new model improves real-time detection of cyberattacks on blockchain networks.

This study examines how network layout affects decentralized federated learning amidst Byzantine threats.

A new approach to improve intrusion detection using machine learning.

New methods aim to secure machine learning models against backdoor threats.

Tackling data contamination for better cybersecurity and anomaly detection systems.

A look into collective remote attestation and its impact on IoT device security.

This article examines how data preparation affects machine learning in cybersecurity.

This paper examines effective exit procedures for Ethereum stakers in a Proof-of-Stake system.

New protocols aim to manage quantum resource sharing in emerging communication networks.

A new framework aims to identify inconsistencies in cellular network protocols.

New methods using diffusion models enhance cybersecurity against adversarial examples.

Introducing a hybrid model for effective IoT intrusion detection.

Active Directory attacks pose serious risks. Learn how to detect and respond.

This article explores how commitment attacks threaten Ethereum's validator rewards.

A new method for secure key generation among devices in wireless networks.

A look into Symbolic Data Analysis and its use in various fields.

Exploring the potential and risks of restaking in blockchain systems.

CF-mMIMO offers a new approach to secure wireless monitoring.

A new algorithm improves data sharing and machine learning efficiency using synthetic datasets.

Exploring reliability in communication through AV-MACs.