A Hybrid CNN-Brown-Bear Optimization Framework for Enhanced Detection of URL Phishing Attacks
Source abstract
Abstract
Phishing attacks are more than two-decade-old attacks that attackers use to steal passwords related to financial services. After the first reported incident in 1995, its impact keeps on increasing. Also, during COVID-19, due ... | Find, read and cite all the research you need on Tech Science Press
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Spam and Phishing Detection · Misinformation and Its Impacts · Advanced Malware Detection Techniques
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (34)
Show source-provided references
1. Phishing attacks survey: Types, vectors, and technical approaches
2. Hybrid optimization enabled squeeze net for phishing attack detection10.1016/j.cose.2024.103901 ↗
3. A content and URL analysis-based efficient approach to detect smishing SMS in intelligent systems10.1002/int.23035 ↗
4. A. Katiyar, “Social engineering phishing detection,” 2023. Accessed: Sep. 30, 2024. [Online]. Available: https://insights2techinfo.com/social-engineering-phishing-detection/
5. Statista, “Top phishing statistics for 2024: Latest figures and trends,” 2024. Accessed: Jun. 30, 2024. [Online]. Available: https://www.statista.com/statistics/266155/number-of-phishing-domain-names-worldwide/
6. G. Smith, “Number of unique phishing sites detected worldwide from 3rd quarter 2013 to 1st quarter 2024,” 2024. Accessed: Jun. 30, 2024. [Online]. Available: https://www.stationx.net/phishing-statistics/
7. Optimized URL feature selection based on genetic-algorithm-embedded deep learning for phishing website detection10.3390/electronics11071090 ↗
8. PhishNot: A cloud-based machine-learning approach to phishing URL detection10.1016/j.comnet.2022.109407 ↗
9. Mutual information based logistic regression for phishing URL detection
10. S. N. Kee, “The impact of phishing on cloud-based systems and blockchain-based mitigations,” 2024. Accessed: Sep. 30, 2024. [Online]. Available: https://insights2techinfo.com/the-impact-of-phishing-on-cloud-based-systems-and-blockchain-based-mitigations/
11. An enhanced deep learning-based phishing detection mechanism to effectively identify malicious URLs using variational autoencoders10.1049/ise2.12106 ↗
12. Detecting malicious URLs using machine learning techniques: Review and research directions10.1109/ACCESS.2022.3222307 ↗
13. Optimized phishing detection with recurrent neural network and whale optimizer algorithm
14. Deep character-level anomaly detection based on a convolutional autoencoder for zero-day phishing URL detection10.3390/electronics10121492 ↗
15. Phishing website detection: How effective are deep learning-based models and hyperparameter optimization?
16. TransURL: Improving malicious URL detection with multi-layer Transformer encoding and multi-scale pyramid features10.1016/j.comnet.2024.110707 ↗
17. PMANet: Malicious URL detection via post-trained language model guided multi-level feature attention network10.1016/j.inffus.2024.102638 ↗
18. Feature selection to enhance phishing website detection based on URL using machine learning techniques
19. SI–BBA–A novel phishing website detection based on Swarm intelligence with deep learning
20. Single and hybrid-ensemble learning-based phishing website detection: Examining impacts of varied nature datasets and informative feature selection technique10.1145/3611392 ↗
21. Machine learning based phishing detection from URLs10.1016/j.eswa.2018.09.029 ↗
22. Phishing attacks detection using deep learning approach
23. A machine learning based approach for phishing detection using hyperlinks information10.1007/s12652-018-0798-z ↗
24. Phishing website detection based on multidimensional features driven by deep learning10.1109/ACCESS.2019.2892066 ↗
25. Hybrid rule-based solution for phishing URL detection using convolutional neural network10.1155/2021/8241104 ↗
26. Imambi · Programming with TensorFlow: Solution for Edge Computing Applications · 2021 · 8710.1007/978-3-030-57077-4_10 ↗
27. Introduction to PyTorch10.1007/978-1-4842-5364-9_2 ↗
28. pandas-dev/pandas: Pandas 1.0. 5
29. Idris · NumPy: Beginner’s Guide · 2015
30. McKinney · Python for Data Analysis: Data Wrangling with Pandas, Numpy, and Ipython · 2012
31. Scikit-learn: Machine learning in Python
32. Kramer · Machine Learning for Evolution Strategies · 2016 · 45
33. MEALPY: An open-source library for latest meta-heuristic algorithms in Python10.1016/j.sysarc.2023.102871 ↗
34. E. Chand, “Phishing website detector,” 2023. Accessed: Jan. 30, 2024 . [Online]. Available: https://www.kaggle.com/datasets/eswarchandt/phishing-website-detector