Please use this identifier to cite or link to this item:
https://dspace.univ-guelma.dz/jspui/handle/123456789/13246| Title: | La détection des attaques Botnet dans l'Industrie Internet des objets (IIoT) |
| Authors: | NOUAR, IKRAME |
| Keywords: | Cybersécurité, Apprentissage en profondeur, Botnet, Système de détec- tion de botnet, Internet des objects industriel (IIoT) |
| Issue Date: | 2022 |
| Publisher: | UNIVERSITÉ DE GUELMA |
| Abstract: | The Industrial Internet of Things (IIoT) is a collection of daily interconnected devices in an industrial environment, equipped with light processors and network cards, which can be managed by web services and/or other types of interface. IIoT network vulnerabilities increase dramatically with complex cyberattacks, such as botnets. A botnet attack is a large-scale cyberattack carried out by remotely controlled, malware-infected devices. It turns compromised devices into "zombie robots" for the botnet controller. A botnet can initiate a number of activities, such as Distributed Denial of Service (DDoS) attacks, keylogging, phishing, spamming, click fraud, spoofing, etc. . The objective of this subject is to study and propose a security method to detect Botnet attacks in IIoT systems. |
| URI: | http://dspace.univ-guelma.dz/jspui/handle/123456789/13246 |
| Appears in Collections: | Master |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| NOUAR_IKRAME_F5.pdf | 2,68 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.