Characterization of Malicious URLs Using Machine Learning and Feature Engineering
In: Innovations and Interdisciplinary Solutions for Underserved Areas : 6th EAI International Conference, InterSol 2023, Flic en Flac, Mauritius, September 16-17, Jg. 541 (2024), S. 15-32
Online
E-Book
Zugriff:
| Titel: |
Characterization of Malicious URLs Using Machine Learning and Feature Engineering
|
|---|---|
| Autor/in / Beteiligte Person: | Nana, Sidwendluian Romaric ; Bassolé, Didier ; Dimitri Ouattara, Jean Serge ; Sié, Oumarou ; Akan, Ozgur [Ed.]ial Board Member ; Bellavista, Paolo [Ed.]ial Board Member ; Cao, Jiannong [Ed.]ial Board Member ; Coulson, Geoffrey [Ed.]ial Board Member ; Dressler, Falko [Ed.]ial Board Member ; Ferrari, Domenico [Ed.]ial Board Member ; Gerla, Mario [Ed.]ial Board Member ; Kobayashi, Hisashi [Ed.]ial Board Member ; Palazzo, Sergio [Ed.]ial Board Member ; Sahni, Sartaj [Ed.]ial Board Member ; Shen, Xuemin [Ed.]ial Board Member ; Stan, Mircea [Ed.]ial Board Member ; Jia, Xiaohua [Ed.]ial Board Member ; Zomaya, Albert Y. [Ed.]ial Board Member ; Seeam, Amar [Ed.] ; Ramsurrun, Visham [Ed.] ; Juddoo, Suraj [Ed.] ; Phokeer, Amreesh [Ed.] |
| Link: | |
| Zeitschrift: | Innovations and Interdisciplinary Solutions for Underserved Areas : 6th EAI International Conference, InterSol 2023, Flic en Flac, Mauritius, September 16-17, Jg. 541 (2024), S. 15-32 |
| Veröffentlichung: | 2024 |
| Medientyp: | E-Book |
| ISBN: | 978-3-031-51848-5 (print) ; 978-3-031-51849-2 (print) |
| DOI: | 10.1007/978-3-031-51849-2_2 |
| Sonstiges: |
|