URL Classification with Intrusion Detection System
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-47721-8_19
Reference9 articles.
1. Joshi, M.R.: A Review of Network Traffic Analysis and Prediction Techniques (2016)
2. Ahmed, A.A., Agunsoye, G.: A Real-Time Network Traffic Classifier for Online Applications Using Machine Learning. Algorithms 14, 250 (2021)
3. Manjeri, A.S., Kaushik, R., Ajay, M.N.V., Nair, P.C.: A machine learning approach for detecting malicious websites using URL features. In: 2019 3rd International Conference on Electronics, Communication and Aerospace Technology (ICECA) (2019)
4. Ding, C.: Automatic Detection of Malicious URLs using Fine-Tuned Classification Model (2020)
5. Junaid Khan, H.M., Niyaz, Q., Devabhaktuni, V.K., Guo, S., Shaikh, U.: Identifying generic features for malicious URL detection system. In: 2019 IEEE 10th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON) (2019)
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