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Machine Learning for Authorship Attribution and Cyber Forensics [[electronic resource] /] / by Farkhund Iqbal, Mourad Debbabi, Benjamin C. M. Fung
| Machine Learning for Authorship Attribution and Cyber Forensics [[electronic resource] /] / by Farkhund Iqbal, Mourad Debbabi, Benjamin C. M. Fung |
| Autore | Iqbal Farkhund |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (IX, 158 p. 38 illus., 28 illus. in color.) |
| Disciplina | 363.25028563 |
| Collana | International Series on Computer, Entertainment and Media Technology |
| Soggetto topico |
Data mining
Machine learning Computer crimes Data Mining and Knowledge Discovery Machine Learning Cybercrime |
| ISBN | 3-030-61675-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Cybersecurity And Cybercrime Investigation -- 2. Machine Learning Framework For Messaging Forensics -- 3. Header-Level Investigation And Analyzing Network Information -- 4. Authorship Analysis Approaches -- 5. Authorship Analysis - Writeprint Mining For Authorship Attribution -- 6. Authorship Attribution With Few Training Samples -- 7. Authorship Characterization -- 8. Authorship Verification -- 9. Authorship Attribution Using Customized Associative Classification -- 10. Criminal Information Mining -- 11. Artificial Intelligence And Digital Forensics. |
| Record Nr. | UNISA-996418193003316 |
Iqbal Farkhund
|
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Machine Learning for Authorship Attribution and Cyber Forensics [[electronic resource] /] / by Farkhund Iqbal, Mourad Debbabi, Benjamin C. M. Fung
| Machine Learning for Authorship Attribution and Cyber Forensics [[electronic resource] /] / by Farkhund Iqbal, Mourad Debbabi, Benjamin C. M. Fung |
| Autore | Iqbal Farkhund |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (IX, 158 p. 38 illus., 28 illus. in color.) |
| Disciplina | 363.25028563 |
| Collana | International Series on Computer, Entertainment and Media Technology |
| Soggetto topico |
Data mining
Machine learning Computer crimes Data Mining and Knowledge Discovery Machine Learning Cybercrime |
| ISBN | 3-030-61675-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Cybersecurity And Cybercrime Investigation -- 2. Machine Learning Framework For Messaging Forensics -- 3. Header-Level Investigation And Analyzing Network Information -- 4. Authorship Analysis Approaches -- 5. Authorship Analysis - Writeprint Mining For Authorship Attribution -- 6. Authorship Attribution With Few Training Samples -- 7. Authorship Characterization -- 8. Authorship Verification -- 9. Authorship Attribution Using Customized Associative Classification -- 10. Criminal Information Mining -- 11. Artificial Intelligence And Digital Forensics. |
| Record Nr. | UNINA-9910484465603321 |
|
Iqbal Farkhund
|
||
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||