Please use this identifier to cite or link to this item:
http://hdl.handle.net/10609/97946
Title: | Industrial control systems and IoT Botnets |
Author: | Rejón Orellana, Javier Jesús |
Director: | Garcia-Font, Victor |
Tutor: | Hernández Gañán, Carlos |
Abstract: | In this work a study of the current threats in the environment of industrial control networks is carried out. These threats refer to cyber attacks and attempts to penetrate or change the functioning of industrial systems in production. On the one hand it highlights the growing vulnerability of current industrial systems, due to greater connectivity and integration in business information systems. On the other hand, to help in the detection of these intrusion attempts, we study the strategy called "honeypot" and on what its operation is based. We verify how the honeypot tools help in the improvement of security also in Industrial Control System networks ICS As a result of this study, we propose the design and implementation of a "honeypot", a specific decoy, whose purpose is to detect this type of attack. The software product obtained supposes a method of detection of attacks in systems in production. Our honeyport design makes use of software packages available under a free license. A modular, flexible and easily maintainable implementation is carried out. Finally, we carried out the validation of the honeypot under study through a series of local tests and its direct exposure to the Internet. Once the operation is tested, its usability is verified in production environments. |
Keywords: | computer security honeypot internet of things |
Document type: | info:eu-repo/semantics/masterThesis |
Issue Date: | 3-Jun-2019 |
Publication license: | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Appears in Collections: | Trabajos finales de carrera, trabajos de investigación, etc. |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
jrejonTFM0619memoria.pdf | Memoria del TFM | 1,51 MB | Adobe PDF | View/Open |
Share:
This item is licensed under a Creative Commons License