INTERNATIONAL JOURNAL OF INFORMATION AND COMMUNICATION TECHNOLOGIES

UTILIZING SENTIMENT ANALYSIS FOR CYBER SECURITY LEARNING

Authors

DOI:

https://doi.org/10.54309/IJICT.2022.10.2.006

Keywords:

Sentiment Analysis, Cyber Security, Learning, Website, Bag-of-words, Words, Server Log Files, SQL Injection, Cross-site-scripting, Genetic Algorithm, Database.

Abstract

The main goal of the scientific article is to apply modern theoretical and practical knowledge in cybersecurity and to develop a website using sentiment analysis for cybersecurity learning on the platform. Electronic educational resources, information protection technologies and data integrity preservation were investigated to create the final product. As a result of all the work, a secure platform was developed to increase the exposure of users in the field of information technology using the most key machine learning models and algorithms for hashing.

Downloads

Downloads

Published

2022-06-15

How to Cite

Namiyaly, A., Valiyev, B., Sagymbekova, A., & Adil A.Zh. (2022). UTILIZING SENTIMENT ANALYSIS FOR CYBER SECURITY LEARNING. INTERNATIONAL JOURNAL OF INFORMATION AND COMMUNICATION TECHNOLOGIES, 3(2), 59–66. https://doi.org/10.54309/IJICT.2022.10.2.006

Issue

Vol. 3 No. 2 (2022): INTERNATIONAL JOURNAL OF INFORMATION AND COMMUNICATION TECHNOLOGIES

Section

INFORMATION SECURITY AND COMMUNICATION TECHNOLOGIES

License

Copyright (c) 2022 INTERNATIONAL JOURNAL OF INFORMATION AND COMMUNICATION TECHNOLOGIES

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

https://creativecommons.org/licenses/by-nc-nd/3.0/deed.en