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Topic · Artificial Intelligence

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
Research works
30k
fractional, since 1955
In the world top 10%
2.9k
per year above
Top-10% rate
9.9%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+34%
the tick is no change
Largest producer
China
37% of the 10 largest, 2022-now
Internet Traffic Analysis and Secure E-voting

Which countries lead Internet Traffic Analysis and Secure E-voting research?

By volume, China and India publish the most (2.3k and 1.7k works in 2022-now).

By volume, 2022-now

  1. 1 China 2.3k works
  2. 2 India 1.7k works
  3. 3 United States 977 works
  4. 4 United Kingdom 221 works
  5. 5 Germany 217 works
  6. 6 Canada 170 works
  7. 7 Saudi Arabia 165 works
  8. 8 South Korea 152 works
  9. 9 Italy 149 works
  10. 10 Türkiye 148 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.

China: 37.2%India: 27.5%United States: 15.7%United Kingdom: 3.5%6 others listed: 16.1%37%largest
China2,317 · 37.2%India1,711 · 27.5%United States977 · 15.7%United Kingdom221 · 3.5%6 others listed1,001 · 16.1%

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-now, Chinese Academy of Sciences publishes the most Internet Traffic Analysis and Secure E-voting research, followed by Beijing University of Posts and Telecommunications and SRM Institute of Science and Technology.

By volume, 2022-now

  1. 1 Chinese Academy of SciencesChina 130 works
  2. 2 Beijing University of Posts and TelecommunicationsChina 76 works
  3. 3 SRM Institute of Science and TechnologyIndia 66 works
  4. 4 Vellore Institute of Technology UniversityIndia 55 works
  5. 5 Southeast UniversityChina 49 works
  6. 6 Tsinghua UniversityChina 48 works
  7. 7 Centre National de la Recherche ScientifiqueFrance 44 works
  8. 8 University of Electronic Science and Technology of ChinaChina 43 works
  9. 9 National University of Defense TechnologyChina 40 works
  10. 10 Xidian UniversityChina 38 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 John P. A. Ioannidis, Xiaogang Wang and Li Fei-Fei.

  1. 1 John P. A. Ioannidis United States 317k citations
  2. 2 Xiaogang Wang China 260k citations
  3. 3 Li Fei-Fei United States 225k citations
  4. 4 H. Vincent Poor United States 165k citations
  5. 5 Huan Liu Australia 148k citations
  6. 6 Francisco Herrera Spain 141k citations
  7. 7 Philip S. Yu United States 141k citations
  8. 8 T. J. Kim Germany 139k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

What are the most cited papers in Internet Traffic Analysis and Secure E-voting?

The most cited paper in Internet Traffic Analysis and Secure E-voting is "Network Flows: Theory, Algorithms, and Applications." (David Keith Smith, Ravindra K. Ahuja, Thomas L. Magnanti et al., 1994), with 8,169 citations. Next come "Calibrating Noise to Sensitivity in Private Data Analysis" (7,243) and "Federated Machine Learning" (6,287).

Most cited papers
#PaperReleasedCitations
1 Network Flows: Theory, Algorithms, and Applications. David Keith Smith, Ravindra K. Ahuja, Thomas L. Magnanti et al. · Journal of the Operational Research Society Nov 1994 8,169
2 Calibrating Noise to Sensitivity in Private Data Analysis Cynthia Dwork, Frank McSherry, Kobbi Nissim et al. · Lecture notes in computer science Conference paper 2006 7,243
3 Federated Machine Learning Qiang Yang, Yang Liu, Tianjian Chen et al. · ACM Transactions on Intelligent Systems and Technology 28 Jan 2019 6,287
4 Congestion avoidance and control Van L. Jacobson · ACM SIGCOMM Computer Communication Review 11 Jan 1995 5,334
5 Attribute-based encryption for fine-grained access control of encrypted data Vipul Goyal, Omkant Pandey, Amit Sahai et al. Conference paper 30 Oct 2006 5,045
All 98 most cited papers, with filters and sorting

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-now 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.

Largest cities, 2022-now

  1. 1 BeijingChina 600 works
  2. 2 ChennaiIndia 206 works
  3. 3 NanjingChina 169 works
  4. 4 ShanghaiChina 123 works
  5. 5 Xi'anChina 110 works
  6. 6 GuangzhouChina 102 works
  7. 7 ChengduChina 93 works
  8. 8 BengaluruIndia 90 works
  9. 9 ChangshaChina 84 works
  10. 10 CoimbatoreIndia 84 works

Where it is the local speciality

  1. VijayawadaIN · 31.9 works8.1×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Internet Traffic Analysis and Secure E-voting than the world average.

See Internet Traffic Analysis and Secure E-voting on the map

Where is the best place to study Internet Traffic Analysis and Secure E-voting?

Among universities, judged by research, King Saud University, King Abdulaziz University and Princess Nourah bint Abdulrahman University 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.

0%20%40%mean 21.17%fractional works in this field (log) →share of work in the world top 10% →Princess Nourah bint…King Saud UniversityKing Abdulaziz Unive…Vellore Institute of…
above the meannear itbelow it

One dot per university in the first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.

Excellenceshare of its work in the world top 10%, 2022-now and all time averaged
40%
Specialisationhow much of its work is in this field, counted up to 10× the world share
10%
Sizeits output in this field, on a log scale
30%
Growthoutput growth, counted from -20% to +20%
10%
Internationalshare of its work with a co-author abroad
10%
Each slider sets a weight; the share it gets of the score is beside it.
#UniversityScoreTop 10%SpecialisationWorksGrowth
1King Saud UniversitySaudi Arabia 69.731.0%2.1×16 +46.4%
2King Abdulaziz UniversitySaudi Arabia 67.629.7%4.0×17 +168.7%
3Princess Nourah bint Abdulrahman UniversitySaudi Arabia 66.831.4%4.1×8 +623.7%
4Vellore Institute of Technology UniversityIndia 61.612.5%7.4×56 +49.2%
5Deakin UniversityAustralia 61.130.0%3.6×12 +19.8%
6Beijing University of Posts and TelecommunicationsChina 59.98.0%15.4×76 +32.3%
7University of New BrunswickCanada 59.824.4%9.6×9 +46.4%
8SRM Institute of Science and TechnologyIndia 58.27.1%8.4×66 +180.2%
9Beijing Institute of TechnologyChina 55.815.6%3.7×33 +100.3%
10Nanyang Technological UniversitySingapore 55.522.0%2.6×16 +63.4%

Universities only. The score blends excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.

Every institution in Internet Traffic Analysis and Secure E-voting, country by country

Is Internet Traffic Analysis and Secure E-voting research growing?

Output in 2022-2025 was 34% higher than in 2018-2021, peaking in 2023. The fastest-growing topics are Internet Traffic Analysis and Secure E-voting.

still counting19801990200020102020
grewheldshrank

The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.

Its share of all research

Growing output can still be a shrinking share: all of science grows. This is Internet Traffic Analysis and Secure E-voting as a percentage of every work published that year, 0.035% in 2024.

still counting0.020%0.040%0.060%Internet Traffic Analysis and Secure E-voting0.036% in 202519801990200020102020

Fractional works of Internet Traffic Analysis and Secure E-voting over all fractional works that year. How the balance of science has shifted.

How much of it reaches the world top 10%

Year by year.

still counting5%10%15%Internet Traffic Analysis and Secure E-voting9.9% in 2025200020102020

Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.

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.

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