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
MIRZA: Efficiently Mitigating Rowhammer with Randomization and ALERT

article Full Text OpenAlex

Attention-Aided Generative Semantic Coding for Privacy-Preserving Traffic Status Monitoring

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Boosted Ensemble Voting for Intrusion Detection: A SHAP-Driven Analysis of XGBoost and CatBoost

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A Survey of Supervised, Unsupervised, and Ensemble Learning Approaches for DDoS Detection in SDN

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Energy-Efficient Deep Learning for Traffic Classification on Microcontrollers

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A Novel Contrastive Loss for Zero-Day Network Intrusion Detection

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Sentinel: Dynamic Knowledge Distillation for Personalized Federated Intrusion Detection in Heterogeneous IoT Networks

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An efficient three-tier defense mechanism for mitigation of DDoS attack with port connection analysis in SDN

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A Comparative Evaluation of Snort and Suricata for Detecting Data Exfiltration Tunnels in Cloud Environments

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Optimizing Anonymity and Efficiency: A Critical Review of Path Selection Strategies in Tor

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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 835 FWCI112.4201

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

article Full Text OpenAlex 676 FWCI137.1363

A survey on federated learning: challenges and applications

article Full Text OpenAlex 656 FWCI83.9483

Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges

article Full Text OpenAlex 445 FWCI78.4472

Heterogeneous Federated Learning: State-of-the-art and Research Challenges

review Full Text OpenAlex 430 FWCI75.9585

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

article Full Text OpenAlex 427 FWCI57.2387

ET-BERT: A Contextualized Datagram Representation with Pre-training Transformers for Encrypted Traffic Classification

article Full Text OpenAlex 391 FWCI38.5741

Anomaly-based intrusion detection system for IoT networks through deep learning model

article Full Text OpenAlex 388 FWCI53.6486

Federated Learning for intrusion detection system: Concepts, challenges and future directions

article Full Text OpenAlex 379 FWCI48.8268

Federated Learning for the Internet of Things: Applications, Challenges, and Opportunities

article Full Text OpenAlex 346 FWCI45.5169