专题：Internet Traffic Analysis and Secure E-voting

This cluster of papers focuses on the application of machine learning and deep learning techniques for the classification and analysis of internet traffic, including encrypted traffic, network behavior, and IoT device identification. It also covers topics related to anonymity, traffic analysis, and electronic voting.
最新文献
Revolutionizing Cyber Threat Detection With Large Language Models: A Privacy-Preserving BERT-Based Lightweight Model for IoT/IIoT Devices

article Full Text OpenAlex

LightGuard: A Lightweight Malicious Traffic Detection Method for Internet of Things

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Learn-IDS: Bridging Gaps between Datasets and Learning-Based Network Intrusion Detection

article Full Text OpenAlex

A Systematic Literature Review of Current Trends in Electronic Voting System Protection Using Modern Cryptography

article Full Text OpenAlex

A Horizontal Federated Learning Approach to IoT Malware Traffic Detection: An Empirical Evaluation with N-BaIoT Dataset

article Full Text OpenAlex

Measuring Compliance with the California Consumer Privacy Act Over Space and Time

preprint Full Text OpenAlex

The use of statistical features for low-rate denial-of-service attack detection

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Dordis: Efficient Federated Learning with Dropout-Resilient Differential Privacy

article Full Text OpenAlex

Multi-task learning for IoT traffic classification: A comparative analysis of deep autoencoders

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FedAND: Federated Learning Exploiting Consensus ADMM by Nulling Drift

article Full Text OpenAlex

近5年高被引文献
Edge-IIoTset: A New Comprehensive Realistic Cyber Security Dataset of IoT and IIoT Applications for Centralized and Federated Learning

article Full Text OpenAlex 707 FWCI151.4689136

Federated-Learning-Based Anomaly Detection for IoT Security Attacks

article Full Text OpenAlex 596 FWCI76.19060769

CICIoT2023: A Real-Time Dataset and Benchmark for Large-Scale Attacks in IoT Environment

article Full Text OpenAlex 523 FWCI229.88584867

A survey on federated learning: challenges and applications

article Full Text OpenAlex 521 FWCI102.01118537

A Comprehensive Survey of Privacy-preserving Federated Learning

review Full Text OpenAlex 497 FWCI50.65618348

Federated Machine Learning: Survey, Multi-Level Classification, Desirable Criteria and Future Directions in Communication and Networking Systems

article Full Text OpenAlex 460 FWCI57.99356939

Seven Months with the Devils: A Long-Term Study of Content Polluters on Twitter

article Full Text OpenAlex 449 FWCI40.1759587

A critical review of intrusion detection systems in the internet of things: techniques, deployment strategy, validation strategy, attacks, public datasets and challenges

review Full Text OpenAlex 410 FWCI50.18642202

An Experimental Analysis of Attack Classification Using Machine Learning in IoT Networks

article Full Text OpenAlex 401 FWCI31.30440185

Recent Advances on Federated Learning for Cybersecurity and Cybersecurity for Federated Learning for Internet of Things

article Full Text OpenAlex 389 FWCI76.16574109