Internet Traffic Analysis and Secure E-voting

Internet Traffic Analysis and Secure E-voting is a research topic within Artificial Intelligence. Science Explorer counts 30k research works in it since 1955. 9.9% of them reached the world's top 10% most cited for their field and year.

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.

• Machine Learning
• Internet Traffic
• Classification
• Deep Learning
• Encrypted Traffic
• Network
• Anonymity
• IoT Devices
• Traffic Analysis
• E-Voting