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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:

Machine-Learning-Based Online Distributed Denial-of-Service Attack Detection Using Spark Streaming
Baojun Zhou, Jie Li, Jinsong Wu, et al.
(2018), pp. 1-6
Closed Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

The hybrid technique for DDoS detection with supervised learning algorithms
Soodeh Hosseini, Mehrdad Azizi
Computer Networks (2019) Vol. 158, pp. 35-45
Closed Access | Times Cited: 106
Hybrid intelligent phishing website prediction using deep neural networks with genetic algorithm‐based feature selection and weighting
Waleed Ali, Adel Ali Ahmed
IET Information Security (2019) Vol. 13, Iss. 6, pp. 659-669
Open Access | Times Cited: 90
Voting extreme learning machine based distributed denial of service attack detection in cloud computing
Gopal Singh Kushwah, Virender Ranga
Journal of Information Security and Applications (2020) Vol. 53, pp. 102532-102532
Closed Access | Times Cited: 81
Machine Learning based DDOS Detection
S. Shanmuga Priya, M. Sivaram, D. Yuvaraj, et al.
2021 International Conference on Emerging Smart Computing and Informatics (ESCI) (2020), pp. 234-237
Closed Access | Times Cited: 72
SDMTA: Attack Detection and Mitigation Mechanism for DDoS Vulnerabilities in Hybrid Cloud Environment
Sandeep Kautish, A. Reyana, Ankit Vidyarthi
IEEE Transactions on Industrial Informatics (2022) Vol. 18, Iss. 9, pp. 6455-6463
Closed Access | Times Cited: 52
A hybrid machine learning approach for detecting unprecedented DDoS attacks
Mohammad Najafimehr, Sajjad Zarifzadeh, Seyedakbar Mostafavi
The Journal of Supercomputing (2022) Vol. 78, Iss. 6, pp. 8106-8136
Open Access | Times Cited: 50
A Survey on Adversarial Attack in the Age of Artificial Intelligence
Zixiao Kong, Jingfeng Xue, Yong Wang, et al.
Wireless Communications and Mobile Computing (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 49
DDoS attacks and machine‐learning‐based detection methods: A survey and taxonomy
Mohammad Najafimehr, Sajjad Zarifzadeh, Seyedakbar Mostafavi
Engineering Reports (2023) Vol. 5, Iss. 12
Open Access | Times Cited: 16
Distributed real-time SlowDoS attacks detection over encrypted traffic using Artificial Intelligence
Norberto Fernández García, Tomás Alcañiz, Aurora González-Vidal, et al.
Journal of Network and Computer Applications (2020) Vol. 173, pp. 102871-102871
Closed Access | Times Cited: 48
Robust Anomaly Detection on Unreliable Data
Zilong Zhao, Sophie Cerf, Robert Birke, et al.
(2019), pp. 630-637
Open Access | Times Cited: 34
DeepWindow: An Efficient Method for Online Network Traffic Anomaly Detection
Zhenping Shi, Jie Li, Chentao Wu, et al.
(2019), pp. 2403-2408
Closed Access | Times Cited: 28
Feature-based real-time distributed denial of service detection in SDN using machine learning and Spark
Sama Salam Samaan, Hassan Awheed Jeiad
Bulletin of Electrical Engineering and Informatics (2023) Vol. 12, Iss. 4, pp. 2302-2312
Open Access | Times Cited: 8
Feature Selection Approach to Detect DDoS Attack Using Machine Learning Algorithms
Muhammad Aqil Haqeemi Azmi, Cik Feresa Mohd Foozy, Khairul Amin Mohamad Sukri, et al.
JOIV International Journal on Informatics Visualization (2021) Vol. 5, Iss. 4, pp. 395-395
Open Access | Times Cited: 19
Streaming traffic classification: a hybrid deep learning and big data approach
Mehdi Seydali, Farshad Khunjush, Javad Dogani
Cluster Computing (2024) Vol. 27, Iss. 4, pp. 5165-5193
Closed Access | Times Cited: 2
An Unsupervised Embedding Learning Feature Representation Scheme for Network Big Data Analysis
Wenzhong Guo, Yiqing Shi, Shiping Wang, et al.
IEEE Transactions on Network Science and Engineering (2019) Vol. 7, Iss. 1, pp. 115-126
Closed Access | Times Cited: 21
NIDS-VSB: Network Intrusion Detection System for VANET Using Spark-Based Big Data Optimization and Transfer Learning
Farhan Ullah, Gautam Srivastava, Shamsher Ullah, et al.
IEEE Transactions on Consumer Electronics (2023) Vol. 70, Iss. 1, pp. 1798-1809
Closed Access | Times Cited: 5
UASDAC: An Unsupervised Adaptive Scalable DDoS Attack Classification in Large-Scale IoT Network Under Concept Drift
Saravanan Selvam, B. Uma Maheswari
IEEE Access (2024) Vol. 12, pp. 64701-64716
Open Access | Times Cited: 1
Trust attack prevention based on Spark-blockchain in social IoT: a survey
Mariam Masmoudi, Ikram Amous, Corinne Amel Zayani, et al.
International Journal of Information Security (2024) Vol. 23, Iss. 5, pp. 3179-3198
Closed Access | Times Cited: 1
DeepDDoS: Online DDoS Attack Detection
Zhenping Shi, Jie Li, Chentao Wu
2015 IEEE Global Communications Conference (GLOBECOM) (2019), pp. 1-6
Closed Access | Times Cited: 12
Optimal Denial-of-Service Attack Power Allocation Strategy for Remote State Estimation in CPSs With Two-Hop Networks
Wei Xing, Xudong Zhao, Lishuang Liu
IEEE Transactions on Green Communications and Networking (2023) Vol. 7, Iss. 4, pp. 1597-1606
Closed Access | Times Cited: 4
A Novel Approach for Detection of DoS / DDoS Attack in Network Environment using Ensemble Machine Learning Model
G. Sankara Rao, P. Krishna Subbarao
International Journal on Recent and Innovation Trends in Computing and Communication (2023) Vol. 11, Iss. 9, pp. 244-253
Open Access | Times Cited: 4
DDoS Detection Using Information Gain Feature Selection and Random Forest Classifier
Satria Mandala, Alvien Ihsan Ramadhan, Maya Rosalinda, et al.
(2022), pp. 294-299
Closed Access | Times Cited: 6
Enhancing Robustness of On-line Learning Models on Highly Noisy Data
Zilong Zhao, Robert Birke, Rui Han, et al.
IEEE Transactions on Dependable and Secure Computing (2021), pp. 1-1
Open Access | Times Cited: 7
An Efficient Spark-Based Network Anomaly Detection
Djediden Mohamed Seghire Othman, Reguieg Hicham, Zoulikha Mekkakia Maaza
International Journal of Computing and Digital Systems (2020) Vol. 09, Iss. 6, pp. 1175-1185
Open Access | Times Cited: 4
The Missing Link in Network Intrusion Detection: Taking AI/ML Research Efforts to Users
Katharina Dietz, Michael Mühlhauser, Jochen Kögel, et al.
IEEE Access (2024) Vol. 12, pp. 79815-79837
Open Access
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