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. 26.2% 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
- Research works
- 30k fractional, since 1955
- In the world top 10%
- 7.8k per year above
- Top-10% rate
- 26.2% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +50% the tick is no change
Which countries lead Internet Traffic Analysis and Secure E-voting research?
By volume, China and India publish the most (2.1k and 1.5k works in 2022–2025).
By volume, 2022–2025
- 1 China 2.1k works
- 2 India 1.5k works
- 3 United States 882 works
- 4 United Kingdom 208 works
- 5 Germany 202 works
- 6 Canada 157 works
- 7 Saudi Arabia 156 works
- 8 Italy 140 works
- 9 South Korea 140 works
- 10 Türkiye 139 works
How concentrated that is
The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.
Shares of the rows listed above, not of the whole node.
Which institutions lead Internet Traffic Analysis and Secure E-voting research?
By volume in 2022–2025, Beijing University of Posts and Telecommunications publishes the most Internet Traffic Analysis and Secure E-voting research, followed by Vellore Institute of Technology University and SRM Institute of Science and Technology.
By volume, 2022–2025
- 1 Beijing University of Posts and Telecommunications China 68 works
- 2 Vellore Institute of Technology University India 53 works
- 3 SRM Institute of Science and Technology India 51 works
- 4 Chinese Academy of Sciences China 48 works
- 5 Southeast University China 45 works
- 6 Institute of Information Engineering China 45 works
- 7 Tsinghua University China 44 works
- 8 University of Electronic Science and Technology of China China 41 works
- 9 National University of Defense Technology China 38 works
- 10 Xidian University China 36 works
Who are the leading researchers in Internet Traffic Analysis and Secure E-voting?
The most-cited researchers publishing on Internet Traffic Analysis and Secure E-voting include H. Vincent Poor, Dan Boneh and Ronald L. Rivest.
- 1 H. Vincent Poor 9.5k citations
- 2 Dan Boneh 7.5k citations
- 3 Ronald L. Rivest 7.3k citations
- 4 Philip S. Yu 6.6k citations
- 5 Randy H. Katz 5.7k citations
- 6 Hari Balakrishnan 5.5k citations
- 7 Xuemin Shen 5.1k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Internet Traffic Analysis and Secure E-voting research done?
The largest centres of Internet Traffic Analysis and Secure E-voting research in 2022–2025 are Beijing (China), Chennai (India), Nanjing (China) and Shanghai (China). Among places with at least 20 works in it, it is an unusually large share of all research in Vijayawada and Greater Noida.
Largest cities, 2022–2025
Where it is the local speciality
- VijayawadaIN · 30.0 works8.2×
- Greater NoidaIN · 33.4 works6.8×
Location quotient: how much more of its research is in Internet Traffic Analysis and Secure E-voting than the world average.
Where is the best place to study Internet Traffic Analysis and Secure E-voting?
Among universities, judged by research, King Abdulaziz University, Beijing University of Posts and Telecommunications and University of New Brunswick score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.
One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | King Abdulaziz University Saudi Arabia | 60.3 | 50.8% | 3.7× | 16 | +101.1% |
| 2 | Beijing University of Posts and Telecommunications China | 59.9 | 19.9% | 14.0× | 68 | +1.0% |
| 3 | University of New Brunswick Canada | 58.4 | 44.5% | 8.9× | 8 | +28.2% |
| 4 | Sathyabama Institute of Science and Technology India | 57.1 | 12.8% | 13.8× | 23 | +186.6% |
| 5 | Amrita Vishwa Vidyapeetham India | 56.2 | 17.1% | 7.5× | 32 | +280.2% |
| 6 | Guangzhou University China | 56.2 | 15.9% | 8.2× | 24 | +211.0% |
| 7 | Vellore Institute of Technology University India | 55.9 | 19.5% | 6.7× | 53 | +123.4% |
| 8 | Institute of Engineering Nepal | 50.0 | 6.4% | 10.7× | 16 | +102.0% |
| 9 | National Institute of Technology Kurukshetra India | 50.0 | 34.8% | 9.4× | 8 | — |
| 10 | Chitkara University India | 49.1 | 26.3% | 7.0× | 22 | — |
Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.
Is Internet Traffic Analysis and Secure E-voting research growing?
Output in 2018–2022 was 50% higher than in 2013–2017, peaking in 2023. The fastest-growing topics are Internet Traffic Analysis and Secure E-voting.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Which topics inside it are moving
Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.