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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:

A survey and analysis of intrusion detection models based on CSE-CIC-IDS2018 Big Data
Joffrey L. Leevy, Taghi M. Khoshgoftaar
Journal Of Big Data (2020) Vol. 7, Iss. 1
Open Access | Times Cited: 170

Showing 1-25 of 170 citing articles:

Overview on Intrusion Detection Systems Design Exploiting Machine Learning for Networking Cybersecurity
Pierpaolo Dini, Abdussalam Elhanashi, Andrea Begni, et al.
Applied Sciences (2023) Vol. 13, Iss. 13, pp. 7507-7507
Open Access | Times Cited: 55
Dependable intrusion detection system using deep convolutional neural network: A Novel framework and performance evaluation approach
Vanlalruata Hnamte, Jamal Hussain
Telematics and Informatics Reports (2023) Vol. 11, pp. 100077-100077
Open Access | Times Cited: 46
Network Anomaly Intrusion Detection Based on Deep Learning Approach
Yung‐Chung Wang, Yi-Chun Houng, Han-Xuan Chen, et al.
Sensors (2023) Vol. 23, Iss. 4, pp. 2171-2171
Open Access | Times Cited: 40
A Systematic Literature Review on Host-Based Intrusion Detection Systems
Hami Satılmış, Sedat Akleylek, Zaliha Yüce Tok
IEEE Access (2024) Vol. 12, pp. 27237-27266
Open Access | Times Cited: 21
Towards secure intrusion detection systems using deep learning techniques: Comprehensive analysis and review
Sang-Woong Lee, Haval Mohammed Sidqi, Mokhtar Mohammadi, et al.
Journal of Network and Computer Applications (2021) Vol. 187, pp. 103111-103111
Closed Access | Times Cited: 95
Machine-Learning-Enabled Intrusion Detection System for Cellular Connected UAV Networks
Rakesh Shrestha, Atefeh Omidkar, Sajjad Ahmadi Roudi, et al.
Electronics (2021) Vol. 10, Iss. 13, pp. 1549-1549
Open Access | Times Cited: 83
Troubleshooting an Intrusion Detection Dataset: the CICIDS2017 Case Study
Gints Engelen, Vera Rimmer, Wouter Joosen
(2021), pp. 7-12
Open Access | Times Cited: 80
Towards Model Generalization for Intrusion Detection: Unsupervised Machine Learning Techniques
Miel Verkerken, Laurens D’hooge, Tim Wauters, et al.
Journal of Network and Systems Management (2021) Vol. 30, Iss. 1
Open Access | Times Cited: 76
Network Anomaly Detection Using Memory-Augmented Deep Autoencoder
Byeongjun Min, Jihoon Yoo, Sang Soo Kim, et al.
IEEE Access (2021) Vol. 9, pp. 104695-104706
Open Access | Times Cited: 65
Detecting web attacks using random undersampling and ensemble learners
Richard Zuech, John Hancock, Taghi M. Khoshgoftaar
Journal Of Big Data (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 57
An intelligent intrusion detection system for distributed denial of service attacks: A support vector machine with hybrid optimization algorithm based approach
S. Sumathi, R. Rajesh
Concurrency and Computation Practice and Experience (2022) Vol. 34, Iss. 27
Closed Access | Times Cited: 41
Application of Artificial Intelligence to Network Forensics: Survey, Challenges and Future Directions
Syed S. H. Rizvi, Mark Scanlon, Jimmy McGibney, et al.
IEEE Access (2022) Vol. 10, pp. 110362-110384
Open Access | Times Cited: 39
BoostedEnML: Efficient Technique for Detecting Cyberattacks in IoT Systems Using Boosted Ensemble Machine Learning
Ogobuchi Daniel Okey, Siti Sarah Maidin, Pablo Adasme, et al.
Sensors (2022) Vol. 22, Iss. 19, pp. 7409-7409
Open Access | Times Cited: 38
A Systematic and Comprehensive Survey of Recent Advances in Intrusion Detection Systems Using Machine Learning: Deep Learning, Datasets, and Attack Taxonomy
Asadullah Momand, Sana Ullah Jan, Naeem Ramzan
Journal of Sensors (2023) Vol. 2023, pp. 1-18
Open Access | Times Cited: 23
Detecting cybersecurity attacks across different network features and learners
Joffrey L. Leevy, John M. Hancock, Richard Zuech, et al.
Journal Of Big Data (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 51
A Review and Analysis of the Bot-IoT Dataset
Jared M. Peterson, Joffrey L. Leevy, Taghi M. Khoshgoftaar
(2021), pp. 20-27
Closed Access | Times Cited: 51
A Survey on the Role of Artificial Intelligence, Machine Learning and Deep Learning for Cybersecurity Attack Detection
Azar Abid Salih, Subhi T. Zeebaree, Siddeeq Y. Ameen, et al.
(2021), pp. 61-66
Closed Access | Times Cited: 50
Design and Testing Novel One-Class Classifier Based on Polynomial Interpolation With Application to Networking Security
Pierpaolo Dini, Andrea Begni, Stefano Ciavarella, et al.
IEEE Access (2022) Vol. 10, pp. 67910-67924
Open Access | Times Cited: 37
Performance analysis of intrusion detection for deep learning model based on CSE‑CIC‑IDS2018 dataset
Baraa I. Farhan, Ammar D. Jasim
Indonesian Journal of Electrical Engineering and Computer Science (2022) Vol. 26, Iss. 2, pp. 1165-1165
Open Access | Times Cited: 35
Error Prevalence in NIDS datasets: A Case Study on CIC-IDS-2017 and CSE-CIC-IDS-2018
Lisa Liu, Gints Engelen, Timothy Lynar, et al.
(2022), pp. 254-262
Closed Access | Times Cited: 31
Two-Stage Intrusion Detection System in Intelligent Transportation Systems Using Rule Extraction Methods From Deep Neural Networks
Samah Almutlaq, Abdelouahid Derhab, Mohammad Mehedi Hassan, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 24, Iss. 12, pp. 15687-15701
Closed Access | Times Cited: 28
A hybrid ensemble machine learning model for detecting APT attacks based on network behavior anomaly detection
Neeraj Saini, Vivekananda Bhat Kasaragod, Krishna Prakash, et al.
Concurrency and Computation Practice and Experience (2023) Vol. 35, Iss. 28
Open Access | Times Cited: 18
A Few-Shot-Based Model-Agnostic Meta-Learning for Intrusion Detection in Security of Internet of Things
Chaomeng Lu, Xufeng Wang, Aimin Yang, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 24, pp. 21309-21321
Closed Access | Times Cited: 17
Machine learning to improve the performance of anomaly-based network intrusion detection in big data
Siriporn Chimphlee, Witcha Chimphlee
Indonesian Journal of Electrical Engineering and Computer Science (2023) Vol. 30, Iss. 2, pp. 1106-1106
Open Access | Times Cited: 16
Federated Learning-Based Misbehaviour Detection for the 5G-Enabled Internet of Vehicles
Preeti Rani, Chandani Sharma, Janjhyam Venkata Naga Ramesh, et al.
IEEE Transactions on Consumer Electronics (2023) Vol. 70, Iss. 2, pp. 4656-4664
Closed Access | Times Cited: 16
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