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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 Fuzzy Logic based feature engineering approach for Botnet detection using ANN
Chirag Joshi, Ranjeet Kumar Ranjan, Vishal Bharti
Journal of King Saud University - Computer and Information Sciences (2021) Vol. 34, Iss. 9, pp. 6872-6882
Open Access | Times Cited: 51

Showing 1-25 of 51 citing articles:

Explainable Artificial Intelligence in CyberSecurity: A Survey
Nicola Capuano, Giuseppe Fenza, Vincenzo Loia, et al.
IEEE Access (2022) Vol. 10, pp. 93575-93600
Open Access | Times Cited: 139
Design and Development of RNN Anomaly Detection Model for IoT Networks
Imtiaz Ullah, Qusay H. Mahmoud
IEEE Access (2022) Vol. 10, pp. 62722-62750
Open Access | Times Cited: 134
Explainable AI for cybersecurity automation, intelligence and trustworthiness in digital twin: Methods, taxonomy, challenges and prospects
Iqbal H. Sarker, Helge Janicke, Ahmad Mohsin, et al.
ICT Express (2024) Vol. 10, Iss. 4, pp. 935-958
Open Access | Times Cited: 21
Intelligent detection framework for IoT-botnet detection: DBN-RNN with improved feature set
Sandip Bobade, Ravindra Apare, Ravindra H. Borhade, et al.
Journal of Information Security and Applications (2025) Vol. 89, pp. 103961-103961
Closed Access | Times Cited: 2
Multi‐aspects AI‐based modeling and adversarial learning for cybersecurity intelligence and robustness: A comprehensive overview
Iqbal H. Sarker
Security and Privacy (2023) Vol. 6, Iss. 5
Open Access | Times Cited: 31
Enhancing Cybersecurity in the Internet of Things Environment Using Bald Eagle Search Optimization With Hybrid Deep Learning
Louai A. Maghrabi, Sahar Shabanah, Turki Althaqafi, et al.
IEEE Access (2024) Vol. 12, pp. 8337-8345
Open Access | Times Cited: 9
Outside the Closed World: On Using Machine Learning for Network Intrusion Detection
Sneha Padhiar, Ritesh Patel
Smart innovation, systems and technologies (2023), pp. 265-270
Closed Access | Times Cited: 22
Analysis of Botnet Attack Communication Pattern Behavior on Computer Networks

International journal of intelligent engineering and systems (2022) Vol. 15, Iss. 4
Open Access | Times Cited: 19
A Hybrid Model for Botnet Detection using Machine Learning
Anam Zaheer, Sidra Tahir, Maram Fahaad Almufareh, et al.
2022 International Conference on Business Analytics for Technology and Security (ICBATS) (2023), pp. 1-8
Closed Access | Times Cited: 11
Customized convolutional neural network model for IoT botnet attack detection
Balaganesh Bojarajulu, Sarvesh Tanwar
Signal Image and Video Processing (2024) Vol. 18, Iss. 6-7, pp. 5477-5489
Closed Access | Times Cited: 4
Ensemble Feature Engineering and Deep Learning for Botnet Attacks Detection in the Internet of Things
Mir Aman Sheheryar, Sparsh Sharma
Transactions on Emerging Telecommunications Technologies (2025) Vol. 36, Iss. 3
Closed Access
Detection of botnet in IoT network through machine learning based optimized feature importance via ensemble models
Saika Mohi ud din, Ravi Sharma, Fizza Rizvi, et al.
International Journal of Information Technology (2023) Vol. 16, Iss. 2, pp. 1203-1211
Closed Access | Times Cited: 9
A Comparative study of machine learning models for Network Intrusion Detection System using UNSW-NB 15 dataset
Raisa Abedin Disha, Sajjad Waheed
2021 International Conference on Electronics, Communications and Information Technology (ICECIT) (2021), pp. 1-5
Closed Access | Times Cited: 21
A Survey on Botnets, Issues, Threats, Methods, Detection and Prevention
Harry Owen, Javad Zarrin, Shahrzad M. Pour
Journal of Cybersecurity and Privacy (2022) Vol. 2, Iss. 1, pp. 74-88
Open Access | Times Cited: 15
Hybrid model for bot group activity detection using similarity and correlation approaches based on network traffic flows analysis
Dandy Pramana Hostiadi, Tohari Ahmad
Journal of King Saud University - Computer and Information Sciences (2022) Vol. 34, Iss. 7, pp. 4219-4232
Open Access | Times Cited: 14
Multi-aspects AI-based Modeling and Adversarial Learning for Cybersecurity Intelligence and Robustness: A Comprehensive Overview
Iqbal H. Sarker
(2022)
Open Access | Times Cited: 13
FSA-IDS: A Flow-based Self-Active Intrusion Detection System
Mehrdad Hajizadeh, Sudip Barua, Pegah Golchin
NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium (2023), pp. 1-9
Closed Access | Times Cited: 7
A Comprehensive Analysis of Clustering Public Utility Bus Passenger’s Behavior during the COVID-19 Pandemic: Utilization of Machine Learning with Metaheuristic Algorithm
Maela Madel L. Cahigas, Ferani E. Zulvia, Ardvin Kester S. Ong, et al.
Sustainability (2023) Vol. 15, Iss. 9, pp. 7410-7410
Open Access | Times Cited: 5
Detection of Botnet Traffic using Deep Learning Approach
K. Srinarayani, B. Padmavathi, D. Kavitha
2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS) (2023), pp. 201-206
Closed Access | Times Cited: 4
A Survey on Botnets Attack Detection Utilizing Machine and Deep Learning Models
Dorieh M. Alomari, Fatima M. Anis, Maryam Alabdullatif, et al.
(2023), pp. 493-498
Closed Access | Times Cited: 4
A New Approach of Botnet Activity Detection Models Using Combination of Univariate and ANOVA Feature Selection Techniques
Dandy Pramana Hostiadi, Tohari Ahmad, Muhammad Aidiel, et al.
International journal of intelligent engineering and systems (2024) Vol. 17, Iss. 3, pp. 485-502
Open Access | Times Cited: 1
Evaluation of machine learning and deep learning methods for early detection of internet of things botnets
Ashraf S. Mashaleh, Noor Farizah Ibrahim, Mohammad Alauthman, et al.
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2024) Vol. 14, Iss. 4, pp. 4732-4732
Open Access | Times Cited: 1
Comparison of Artificial Intelligence Algorithms for IoT Botnet Detection on Apache Spark Platform
Faaiz Anwar, S. Saravanan
Procedia Computer Science (2022) Vol. 215, pp. 499-508
Open Access | Times Cited: 7
Botnet Dataset Overview Using Statistical Approach Based on Time Gap Activity Analysis
Muhammad Aidiel Rachman Putra, Tohari Ahmad, Dandy Pramana Hostiadi
(2023), pp. 1-6
Closed Access | Times Cited: 3
ACNN-BOT: An Ant Colony Inspired Feature Selection Approach for ANN Based Botnet Detection
Chirag Joshi, Ranjeet Kumar Ranjan, Vishal Bharti
Wireless Personal Communications (2023) Vol. 132, Iss. 3, pp. 1999-2021
Closed Access | Times Cited: 3
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