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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Detecting Malicious DNS over HTTPS Traffic in Domain Name System using Machine Learning Classifiers
Yaser M. Banadaki
Journal of Computer Sciences and Applications (2020) Vol. 8, Iss. 2, pp. 46-55
Open Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

A Critical Cybersecurity Analysis and Future Research Directions for the Internet of Things: A Comprehensive Review
Usman Tariq, Irfan Ahmed, Ali Kashif Bashir, et al.
Sensors (2023) Vol. 23, Iss. 8, pp. 4117-4117
Open Access | Times Cited: 148
An Explainable AI-Based Intrusion Detection System for DNS Over HTTPS (DoH) Attacks
Tahmina Zebin, Shahadate Rezvy, Yuan Luo
IEEE Transactions on Information Forensics and Security (2022) Vol. 17, pp. 2339-2349
Open Access | Times Cited: 80
A Survey on DNS Encryption: Current Development, Malware Misuse, and Inference Techniques
Minzhao Lyu, Hassan Habibi Gharakheili, Vijay Sivaraman
ACM Computing Surveys (2022) Vol. 55, Iss. 8, pp. 1-28
Open Access | Times Cited: 41
A Lightweight Double-Stage Scheme to Identify Malicious DNS over HTTPS Traffic Using a Hybrid Learning Approach
Qasem Abu Al‐Haija, Manar Alohaly, Ammar Odeh
Sensors (2023) Vol. 23, Iss. 7, pp. 3489-3489
Open Access | Times Cited: 23
Cybersecurity Deep: Approaches, Attacks Dataset, and Comparative Study
Kousik Barik, Sanjay Misra, Karabi Konar, et al.
Applied Artificial Intelligence (2022) Vol. 36, Iss. 1
Open Access | Times Cited: 30
Summary of DNS Over HTTPS Abuse
Karel Hynek, Dmitrii Vekshin, Jan Luxemburk, et al.
IEEE Access (2022) Vol. 10, pp. 54668-54680
Open Access | Times Cited: 23
Feature Engineering and Machine Learning Model Comparison for Malicious Activity Detection in the DNS-Over-HTTPS Protocol
Matthew Behnke, Nathan Briner, Drake Cullen, et al.
IEEE Access (2021) Vol. 9, pp. 129902-129916
Open Access | Times Cited: 32
AutoRoC-DBSCAN: automatic tuning of DBSCAN to detect malicious DNS tunnels
Thi Quynh Nguyen, Romain Laborde, Abdelmalek Benzekri, et al.
Annals of Telecommunications (2024) Vol. 80, Iss. 3-4, pp. 227-249
Closed Access | Times Cited: 3
Comparative analysis of DNS over HTTPS detectors
Kamil Jeřábek, Karel Hynek, Ondřej Ryšavý
Computer Networks (2024) Vol. 247, pp. 110452-110452
Open Access | Times Cited: 3
Large Scale Measurement on the Adoption of Encrypted DNS
Sebastián García, Karel Hynek, Dmitrii Vekshin, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 21
Collection of datasets with DNS over HTTPS traffic
Kamil Jeřábek, Karel Hynek, Tomáš Čejka, et al.
Data in Brief (2022) Vol. 42, pp. 108310-108310
Open Access | Times Cited: 15
DNS Over HTTPS Detection Using Standard Flow Telemetry
Kamil Jeřábek, Karel Hynek, Ondřej Ryšavý, et al.
IEEE Access (2023) Vol. 11, pp. 50000-50012
Open Access | Times Cited: 8
Analysis of Plaintext Features in DoH Traffic for DGA Domains Detection
Abdou Romaric Tapsoba, Tounwendyam Frédéric Ouedraogo, Wend-Benedo Simeon Zongo
Lecture notes in networks and systems (2024), pp. 127-138
Closed Access | Times Cited: 2
Detection of DoH Traffic Tunnels Using Deep Learning for Encrypted Traffic Classification
Ahmad Reda Alzighaibi
Computers (2023) Vol. 12, Iss. 3, pp. 47-47
Open Access | Times Cited: 5
XTS: A Hybrid Framework to Detect DNS-Over-HTTPS Tunnels Based on XGBoost and Cooperative Game Theory
Irénée Mungwarakarama, Yichuan Wang, Xinhong Hei, et al.
Mathematics (2023) Vol. 11, Iss. 10, pp. 2372-2372
Open Access | Times Cited: 5
An ensemble framework for detection of DNS-Over-HTTPS (DOH) traffic
Akarsh Aggarwal, Manoj Kumar
Multimedia Tools and Applications (2023) Vol. 83, Iss. 11, pp. 32945-32972
Closed Access | Times Cited: 5
Real time detection of malicious DoH traffic using statistical analysis
Marta Moure-Garrido, Celeste Campo, Carlos García-Rubio
Computer Networks (2023) Vol. 234, pp. 109910-109910
Open Access | Times Cited: 4
Detecting malicious DoH traffic: Leveraging small sample analysis and adversarial networks for detection
Shaoqian Wu, Wei Wang, Zhanmeng Ding
Journal of Information Security and Applications (2024) Vol. 84, pp. 103827-103827
Closed Access | Times Cited: 1
MFC-DoH: DoH Tunnel Detection Based on the Fusion of MAML and F-CNN
Xiaoyu Liu, Yijing Zhang, Xiaodu Yang, et al.
(2024), pp. 267-275
Closed Access | Times Cited: 1
Classifying DNS Tunneling Tools For Malicious DoH Traffic
Rafa Alenezi, Simone A. Ludwig
2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2021)
Closed Access | Times Cited: 10
Detection of DoH Tunneling using Semi-supervised Learning method
Anh Tuan Nguyen, Minho Park
2022 International Conference on Information Networking (ICOIN) (2022), pp. 450-453
Closed Access | Times Cited: 7
An Explainable AI-based Intrusion Detection System for DNS over HTTPS (DoH) Attacks
Tahmina Zebin, Shahadate Rezvy, Yuan Luo
(2022)
Open Access | Times Cited: 5
Light Gradient-Boosting Machine Edge Detection With Cropping Layer for Semantic Segmentation of Pancreas
Wilson Bakasa, Serestina Viriri
Advances in Artificial Intelligence and Machine Learning (2023) Vol. 03, Iss. 03, pp. 1274-1294
Open Access | Times Cited: 2
Detecting Malicious Use of DoH Tunnels Using Statistical Traffic Analysis
Marta Moure-Garrido, Celeste Campo, Carlos García-Rubio
(2022), pp. 25-32
Closed Access | Times Cited: 4
FF-MR: A DoH-Encrypted DNS Covert Channel Detection Method Based on Feature Fusion
Yongjie Wang, Chuanxin Shen, Dongdong Hou, et al.
Applied Sciences (2022) Vol. 12, Iss. 24, pp. 12644-12644
Open Access | Times Cited: 4
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