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:

LRDADF: An AI enabled framework for detecting low-rate DDoS attacks in cloud computing environments
M. Jahir Pasha, K.Prasada Rao, A. Mallareddy, et al.
Measurement Sensors (2023) Vol. 28, pp. 100828-100828
Open Access | Times Cited: 15

Showing 15 citing articles:

Enhancing DDoS attack detection with hybrid feature selection and ensemble-based classifier: A promising solution for robust cybersecurity
Md. Alamgir Hossain, Md Saiful Islam
Measurement Sensors (2024) Vol. 32, pp. 101037-101037
Open Access | Times Cited: 11

Blockchain and Deep Learning for Secure IoT: A Hybrid Cryptographic Approach
Goverdhan Reddy Jidiga, P. Surendra Reddy, Arick M. Lakhani, et al.
International Journal of Computational and Experimental Science and Engineering (2025) Vol. 11, Iss. 1
Open Access | Times Cited: 1

Cloud Network Anomaly Detection Using Machine and Deep Learning Techniques— Recent Research Advancements
Amira Mahamat Abdallah, Aysha Saif Rashed Obaid Alkaabi, Ghaya Bark Nasser Douman Alameri, et al.
IEEE Access (2024) Vol. 12, pp. 56749-56773
Open Access | Times Cited: 5

Evaluating the Isolation Forest Method for Anomaly Detection in Software-Defined Networking Security
Et al. M Sri Lakshmi
Deleted Journal (2024) Vol. 19, Iss. 4, pp. 279-297
Open Access | Times Cited: 4

A machine learning-based intrusion detection framework with labeled dataset generation for IEEE 802.1 time-sensitive networking
Mustafa Topsakal, Selçuk Cevher, Doğanalp Ergenç
Journal of Systems Architecture (2025), pp. 103408-103408
Closed Access

Cloud‐based deep learning architecture for DDoS cyber attack prediction
Jeferson Arango‐López, Gustavo Isaza, Fabian Ramirez, et al.
Expert Systems (2024)
Closed Access | Times Cited: 1

Survey on Low-Rate DDoS Attacks, Detection and Defense
Dušan Drinić, Zoran Čiča
(2024), pp. 1-6
Closed Access | Times Cited: 1

AE-CIAM: a hybrid AI-enabled framework for low-rate DDoS attack detection in cloud computing
Ashfaq Ahmad Najar, S. Manohar Naik
Cluster Computing (2024) Vol. 28, Iss. 2
Closed Access | Times Cited: 1

Firefly-Driven Feature Selection for Enhanced DDoS Detection in IoT Networks
Mohith Suggala, Hari Seetha, Seshu Bhavani Mallampati
2021 International Conference on Emerging Smart Computing and Informatics (ESCI) (2024), pp. 1-6
Closed Access

Maximizing Profits in Commercial Banking: A Holistic Examination of Non-interest Income, Risk Management, and Digital Technologies
Yimeng Wang, Aisyah Abdul-Rahman, Syajarul Imna Mohd Amin, et al.
Journal of Information Systems Engineering & Management (2024) Vol. 9, Iss. 2, pp. 26802-26802
Open Access

BlockStream Solutions: Enhancing Cloud Storage Efficiency and Transparency through Blockchain Technology
Rama Krishna K, M. Pounambal, Jaibir Singh, et al.
International Journal of Electrical and Electronics Engineering (2024) Vol. 11, Iss. 7, pp. 134-147
Open Access

Reduce Low-Frequency Distributed Denial of Service Threats by Combining Deep and Active Learning
Aditya Kumar Shukla, Ashish Sharma, Sandeep Singh Sengar
Lecture notes in networks and systems (2024), pp. 85-100
Closed Access

Enhancing data security in cloud computing: a blockchain-based Feistel cipher encryption and multiclass vector side-channel attack detection approach
Ramakrishna Subbareddy, Tamil selvan
International Journal of Advanced Technology and Engineering Exploration (2024) Vol. 11, Iss. 112
Open Access

Advancements in detecting, preventing, and mitigating DDoS attacks in cloud environments: A comprehensive systematic review of state-of-the-art approaches
Mohamed Ouhssini, Karim Afdel, Mohamed Akouhar, et al.
Egyptian Informatics Journal (2024) Vol. 27, pp. 100517-100517
Open Access

A Bio-Inspired Feature Selection and Ensemble Classification for DDoS Detection in Cloud
Aditya Kumar Shukla, Ashish Sharma
Journal of Advances in Information Technology (2024) Vol. 15, Iss. 10, pp. 1123-1130
Open Access

A Deep Learning-Based Approach to Early Detection and Prevention of DDoS Attacks in Cloud Environments
Mohamed Ouhssini, Karim Afdel, Mohamed Idhammad, et al.
(2023)
Closed Access

Page 1

Scroll to top