Leaderboards/Internet Traffic Analysis and Secure E-voting

Internet Traffic Analysis and Secure E-voting

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Viraaji Mothukuri
Kennesaw State University
2
Enrique Tomás Martínez Beltrán
Universidad de Murcia
3
Yakubu Imrana
University of Electronic Science and Technology of China
4
Xinjie Lin
Institute of Information Engineering
5
Mohanad Sarhan
The University of Queensland
6
Bimal Ghimire
Pennsylvania Department of Agriculture
7
Shaashwat Agrawal
Vellore Institute of Technology University
8
Danish Javeed
Dalian Maritime University
9
Andrew Churcher
Edinburgh Napier University
10
Oluwadamilare Harazeem Abdulganiyu
Euro-Mediterranean University of Fes

Rising Stars Papers

1
A federated learning-based zero trust intrusion detection system for Internet of Things
Ad Hoc Networks|2024
112 cit.
2
Quantum-empowered federated learning and 6G wireless networks for IoT security: Concept, challenges and future directions
Future Generation Computer Systems|2024
88 cit.
3
XIDINTFL-VAE: XGBoost-based intrusion detection of imbalance network traffic via class-wise focal loss variational autoencoder
The Journal of Supercomputing|2024
75 cit.
4
CNN-GRU-FF: a double-layer feature fusion-based network intrusion detection system using convolutional neural network and gated recurrent units
Complex & Intelligent Systems|2024
68 cit.
5
CETP: A novel semi-supervised framework based on contrastive pre-training for imbalanced encrypted traffic classification
Computers & Security|2024
20 cit.
6
Attention-driven multi-model architecture for unbalanced network traffic intrusion detection via extreme gradient boosting
Intelligent Systems with Applications|2025
18 cit.
7
Mitigating communications threats in decentralized federated learning through moving target defense
Wireless Networks|2024
16 cit.
8
An Intelligent and Interpretable Intrusion Detection System for Unmanned Aerial Vehicles
Unknown Journal|2024
16 cit.
9
An AI Multi-Model Approach to DeFi Project Trust Scoring and Security
Unknown Journal|2024
12 cit.
10
Modified Variational Autoencoder and Attention Mechanism‐Based Long Short‐Term Memory for Detecting Intrusions in Imbalanced Network Traffic
Security and Privacy|2025
12 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Xinzheng He
Unknown
2
Kimihiro Mizutani
Kindai University
3
Thippa Reddy Gadekallu
Zhejiang A & F University
4
Yiqiang Sheng
Chinese Academy of Sciences
5
Anca Delia Jurcut
University College Dublin
6
Jin Wei
Fudan University
7
Zhongyi Shi
Google (United States)
8
Ritika Lohiya
Adani Institute of Infrastructure Engineering
9
Alberto Huertas Celdrán
University of Zurich
10
Saeed Ali Bahaj
Prince Sattam Bin Abdulaziz University

Emerging Leaders Papers

1
Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges
IEEE Communications Surveys & Tutorials|2023
498 cit.
2
Metaverse for Healthcare: A Survey on Potential Applications, Challenges and Future Directions
IEEE Access|2023
482 cit.
3
Anomaly-based intrusion detection system for IoT networks through deep learning model
Computers & Electrical Engineering|2022
410 cit.
4
Federated Learning for intrusion detection system: Concepts, challenges and future directions
Computer Communications|2022
401 cit.
5
Federated learning enabled digital twins for smart cities: Concepts, recent advances, and future directions
Sustainable Cities and Society|2022
279 cit.
6
Federated learning for smart cities: A comprehensive survey
Sustainable Energy Technologies and Assessments|2022
274 cit.
7
Fusion of statistical importance for feature selection in Deep Neural Network-based Intrusion Detection System
Information Fusion|2022
235 cit.
8
Energy efficient fault tolerance techniques in green cloud computing: A systematic survey and taxonomy
Sustainable Energy Technologies and Assessments|2022
187 cit.
9
A Survey of Explainable Artificial Intelligence for Smart Cities
Electronics|2023
183 cit.
10
A Flow-Based Anomaly Detection Approach With Feature Selection Method Against DDoS Attacks in SDNs
IEEE Transactions on Cognitive Communications and Networking|2022
174 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Researchers

1
James B. Orlin
Massachusetts Institute of Technology
2
Brent Waters
The University of Texas at Austin
3
Ali A. Ghorbani
Unknown
4
Muthuramakrishnan Venkitasubramaniam
Georgetown University
5
Yongxin Tong
Beihang University
6
Vern Paxson
Lawrence Berkeley National Laboratory
7
Jill Slay
University of South Australia
8
kc claffy
UC San Diego Health System
9
Christophe Diot
Google (United States)
10
George Varghese
Microsoft (United States)

Current Senior Leaders Papers

1
Network Flows: Theory, Algorithms, and Applications.
Journal of the Operational Research Society|1994
8.2k cit.
2
Federated Machine Learning
ACM Transactions on Intelligent Systems and Technology|2019
5.9k cit.
3
Attribute-based encryption for fine-grained access control of encrypted data
Unknown Journal|2006
5k cit.
4
Ciphertext-Policy Attribute-Based Encryption
Unknown Journal|2007
4.9k cit.
5
A detailed analysis of the KDD CUP 99 data set
Unknown Journal|2009
4.8k cit.
6
Toward Generating a New Intrusion Detection Dataset and Intrusion Traffic Characterization
Unknown Journal|2018
4.3k cit.
7
Wide area traffic: the failure of Poisson modeling
IEEE/ACM Transactions on Networking|1995
3.7k cit.
8
UNSW-NB15: a comprehensive data set for network intrusion detection systems (UNSW-NB15 network data set)
Unknown Journal|2015
3.6k cit.
9
<i>L</i> -diversity
ACM Transactions on Knowledge Discovery from Data|2007
3.6k cit.
10
Bro: a system for detecting network intruders in real-time
Computer Networks|1999
2.4k cit.

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