Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/122764| Author(s): | Nuno Jorge Dias Carneiro Martins |
| Title: | Adversarial machine learning: denial of services recognition |
| Issue Date: | 2019-07-16 |
| Subject: | Engenharia electrotécnica, electrónica e informática Electrical engineering, Electronic engineering, Information engineering |
| Scientific areas: | Ciências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática Engineering and technology::Electrical engineering, Electronic engineering, Information engineering |
| DOI: | 10.34626/ak5a-g228 |
| TID identifier: | 202396100 |
| URI: | https://hdl.handle.net/10216/122764 |
| Document Type: | Dissertação |
| Rights: | restrictedAccess |
| Appears in Collections: | FEUP - Dissertação |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 357986.1.pdf Restricted Access | Analyzing the Footprint of Classifiers in Adversarial Denial of Service Contexts | 251.84 kB | Adobe PDF | View/Open |
| 357986.pdf Restricted Access | Adversarial Machine Learning applied to Intrusion and Malware Scenarios: a systematic review | 205.87 kB | Adobe PDF | View/Open |
| 357986.2.pdf | Adversarial machine learning on Denial of Service Recognition | 2.31 MB | Adobe PDF |  View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.