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Internet Traffic Analysis and Secure E-voting
TopicLeading institutions, researchers & key papers
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.
78
Works
IDs:OpenAlex
How has Internet Traffic Analysis and Secure E-voting's publication output changed over time?
ScholarIQpublication output · 2011–2022
Output declined50% over the shown period — from 2 works in 2011 to 1 in 2022.
2
1
2
2
1
1
1
2011201320162019202020212022
What are the most-cited papers on Internet Traffic Analysis and Secure E-voting?
ScholarIQmost cited works
Website Fingerprinting at Internet Scale
Andriy Panchenko, Fabian Lanze, Andreas Zinnen, Martin Henze, Jan Pennekamp, Klaus Wehrle, Thomas Engel
2016597 CitationsOPEN ACCESS
Website fingerprinting in onion routing based anonymization networks
Andriy Panchenko, L. Niessen, Andreas Zinnen, Thomas Engel
2011504 Citations
On Realistically Attacking Tor with Website Fingerprinting
Tao Wang, Ian Goldberg
S4210183172. 2016161 CitationsOPEN ACCESS
HTTPOS: Sealing Information Leaks with Browser-side Obfuscation of Encrypted Flows.
Xiapu Luo, Peng Zhou, Edmond W. W. Chan, Wenke Lee, Rocky K. C. Chang, Roberto Perdisci
2011129 Citations
Random Forest Bagging and X‐Means Clustered Antipattern Detection from SQL Query Log for Accessing Secure Mobile Data
Rajesh Kumar Dhanaraj, Vinothsaravanan Ramakrishnan, M. Poongodi, Lalitha Krishnasamy, Mounir Hamdi, Ketan Kotecha, V. Vijayakumar
S235346. 2021109 CitationsOPEN ACCESS
Where is Internet Traffic Analysis and Secure E-voting research published, and who funds it?
ScholarIQvenues & funding sources
TOP JOURNALS
S4210183172161
S235346109
S4306401974106
S27369762355
TOP FUNDERS
National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
Funder breakdown is a member featureSign up free to unlock
How much of the research on Internet Traffic Analysis and Secure E-voting is open access?
ScholarIQopen access share
50%OPEN ACCESS
Gold
20%
Green
10%
Hybrid
20%
Bronze
0%
Closed
50%
Related on ScholarIQ
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Paper
Website fingerprinting in onion routing based anonymization networks
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