Please use this identifier to cite or link to this item:
http://hdl.handle.net/10609/147246
Title: | Django REST Framework (DRF) Secure Code Guidelines |
Author: | Nader Meljem, Anuar Manuel |
Tutor: | del Canto Rodrigo, Pau |
Others: | Isern-Deya, Andreu Pere ![]() Garcia-Font, Victor ![]() |
Keywords: | Django enterprise security privacy |
Issue Date: | Jan-2023 |
Publisher: | Universitat Oberta de Catalunya (UOC) |
Abstract: | The purpose of the work titled "Django REST Framework (DRF) Secure Code Guidelines" is to provide guidance on how to write secure code when using the Django REST Framework (DRF) for web application development. The research aims to address the following questions: What are the best practices for secure coding in the context of DRF? What are the common vulnerabilities that developers using DRF should be aware of, and how can they be prevented? To answer these questions, the methodology for this work involves researching best practices for secure coding in the context of DRF, as well as examining common vulnerabilities and how to prevent them. The results of this research include a set of recommendations or guidelines for secure coding with DRF, including a cheat sheet and a presentation. The main findings of this work include a summary of the importance of secure coding in general, as well as specific considerations for developers using DRF. The thesis also provides suggestions for further research or areas for improvement in secure coding with DRF. Overall, this thesis aims to provide valuable guidance and recommendations for writing secure code with DRF in the context of web application development. By following these guidelines, developers can ensure that their DRF-based web applications are secure and resistant to common vulnerabilities. |
Language: | |
URI: | http://hdl.handle.net/10609/147246 |
Appears in Collections: | Trabajos finales de carrera, trabajos de investigación, etc. |
Files in This Item:
File | Description | Size | Format | |
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mnaderFMDP0123report.pdf | Report of TFM | 1,79 MB | Adobe PDF | ![]() View/Open |
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