METHODS OF PROTECTING USER DATA FROM MALICIOUS SOFTWARE ON SOCIAL NETWORKS

This article discusses the increasing threat of malware on social networks and highlights some effective ways to safeguard user data. Social media platforms have become vital channels for communication, marketing, and information exchange; therefore, they have become an easy target for cyberattacks. The preventive approach, education on cybersecurity, and the use of artificial intelligence in this regard are discussed in this research study.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-20
DOI
https://doi.org/10.5281/zenodo.17994368
Primary Topic
Spam and Phishing Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

METHODS OF PROTECTING USER DATA FROM MALICIOUS SOFTWARE ON SOCIAL NETWORKS

Abdukodir Karimov, Elbek Qaxramonov
Zenodo (CERN European Organization for Nuclear Research)
Spam and Phishing Detection
article

METHODS OF PROTECTING USER DATA FROM MALICIOUS SOFTWARE ON SOCIAL NETWORKS

Abdukodir Karimov, Elbek Qaxramonov
article en

Abstract

This article discusses the increasing threat of malware on social networks and highlights some effective ways to safeguard user data. Social media platforms have become vital channels for communication, marketing, and information exchange; therefore, they have become an easy target for cyberattacks. The preventive approach, education on cybersecurity, and the use of artificial intelligence in this regard are discussed in this research study.

Zenodo (CERN European Organization for Nuclear Research)
Tashkent University of Information Technology (UZ)
Peace, Justice and strong institutions
Openalex Percentile: Top 25%
Spam and Phishing Detection
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METHODS OF PROTECTING USER DATA FROM MALICIOUS SOFTWARE ON SOCIAL NETWORKS — Abdukodir Karimov, Elbek Qaxramonov · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS