Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 Distributed Denial of Service Attack Detection System using Long Short Term Memory with Singular Value Decomposition
Chukwuemeka Christian Ugwu, Olumide Olayinka, Olugbemiga Solomon Popoqla, et al.
(2021), pp. 112-118
Closed Access | Times Cited: 14

Showing 14 citing articles:

DDoS attack detection using MLP and Random Forest Algorithms
Ashfaq Ahmad Najar, S. Manohar Naik
International Journal of Information Technology (2022) Vol. 14, Iss. 5, pp. 2317-2327
Closed Access | Times Cited: 32
An Explanation of the LSTM Model Used for DDoS Attacks Classification
Abdulmuneem Bashaiwth, Hamad Binsalleeh, Basil AsSadhan
Applied Sciences (2023) Vol. 13, Iss. 15, pp. 8820-8820
Open Access | Times Cited: 9
Detecting Distributed Denial of Service in Network Traffic with Deep Learning
Muhammad Rusyaidi, Sardar Jaf, Muhammad Rusyaidi Zunaidi
International Journal of Advanced Computer Science and Applications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 9
Cyber security: performance analysis and challenges for cyber attacks detection
Azar Abid Salih, Maiwan Bahjat Abdulrazzaq
Indonesian Journal of Electrical Engineering and Computer Science (2023) Vol. 31, Iss. 3, pp. 1763-1763
Open Access | Times Cited: 4
A Novel Deep Learning Approach for Detecting Types of Attacks in the NSL-KDD Dataset
HADEEL M SALEH SALEEH, Hend Marouane, Ahmed Fakhfakh
Deleted Journal (2024) Vol. 2024, pp. 171-181
Open Access | Times Cited: 1
Gradient Techniques To Predict Distributed Denial-Of-Service Attack
Roheen Qamar
Iraqi Journal for Computer Science and Mathematics (2022), pp. 55-71
Open Access | Times Cited: 4
Detecting DDoS Attacks using Machine Learning: Survey
Sarah Zghair Arrak, Rana Jumma Surayh Al- Janabi
Journal of Al-Qadisiyah for Computer Science and Mathematics (2024) Vol. 16, Iss. 2
Open Access
Machine learning method in detecting a distributed of service (DDoS): A systematic literature review
Muhammad Rusyaidi, Sardar Jaf, Muhammad Rusyaidi Zunaidi
AIP conference proceedings (2023) Vol. 2643, pp. 040034-040034
Closed Access | Times Cited: 1
An Improved Intrusion Detection System based on convolutional neural networks (CNN) algorithm
Heba Emad Namiq, Aymen Dawood Salman, Ahmed M. Dinar
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
An Evolutionary Approach Towards Achieving Enhanced Intrusion Detection System
Olugbemiga Solomon Popoọla, Ikechukwu Ignatius Ayogu, Olamatanmi Josephine Mebawondu, et al.
2022 IEEE Nigeria 4th International Conference on Disruptive Technologies for Sustainable Development (NIGERCON) (2022), pp. 1-5
Closed Access | Times Cited: 2
Combating Network Intrusions using Machine Learning Techniques with Multilevel Feature Selection Method
Tosin Comfort Olayinka, Chukwuemeka Christian Ugwu, Omoibu Joseph Okhuoya, et al.
2022 IEEE Nigeria 4th International Conference on Disruptive Technologies for Sustainable Development (NIGERCON) (2022), pp. 1-5
Closed Access | Times Cited: 2
Use of Machine Learning for Web Denial-of-Service Attacks: A Multivocal Literature Review
Mohammed Ayub, Omar Lajam, Abdullatif Alnajim, et al.
Arabian Journal for Science and Engineering (2022) Vol. 48, Iss. 8, pp. 9559-9574
Closed Access | Times Cited: 2
A Review of Deep Learning Techniques for Network Intrusions Detection towards Efficient Model Developments
Olufunso Dayo Alowolodu, Adebayọ Olusọla Adetunmbi, Jacob Olorunshogo Mebawondu, et al.
2022 IEEE Nigeria 4th International Conference on Disruptive Technologies for Sustainable Development (NIGERCON) (2022), pp. 1-5
Closed Access | Times Cited: 1
Behavioral analysis in cybersecurity using machine learning: a study based on graph representation, class imbalance and temporal dissection
Francesco Zola
(2022)
Open Access | Times Cited: 1
Page 1

Scroll to top