Mitigating Social Media Cybercrime: Revolutionising with AES Encryption and Generative AI

Authors

  • Poh Soon JosephNg Faculty of Data Science and Information Technology, INTI International University, Nilai 71800, Negeri Sembilan, Malaysia
  • Zhuang Cheik EricMok Faculty of Data Science and Information Technology, INTI International University, Nilai 71800, Negeri Sembilan, Malaysia
  • Koo Yuen Phan Faculty of Information and Communication Technology, Universiti Tunku Abdul Rahman, 31900 Kampar, Perak, Malaysia
  • Jianhua Sun Jiangsu Vocational College of Medicine, Jiangsu, China
  • Zhiming Wei Jiangsu Vocational College of Medicine, Jiangsu, China

DOI:

https://doi.org/10.37934/araset.46.2.124154

Keywords:

AES Encryption techniques, cybercrime, secure communication, personal social media platforms, profitability, implementation; effectiveness, Generative AI, economic growth, resilient infrastructure, user experience

Abstract

This research investigates the effective implementation of AES encryption techniques, combined with Generative AI, to ensure secure communication on personal social media platforms. The research aims to propose strategies for improving encryption implementation, enhancing usability for easy adoption, and exploring the potential for increased profitability while maintaining security. The research methodology includes a mixed mode to collect data on encryption practices, challenges, and perceptions in social media platforms. The research concludes that the findings will offer valuable insights into the effectiveness, usability, and potential impact of AES encryption techniques, powered by Generative AI, on secure communication while assessing the potential economic benefits and growth of enhanced encryption implementation. The results of this research will contribute to developing robust encryption strategies, user-centred design principles, and cost-effective encryption solutions, ultimately strengthening the security of user communications on personal social media platforms to mitigate cybercrime.

Author Biographies

Poh Soon JosephNg, Faculty of Data Science and Information Technology, INTI International University, Nilai 71800, Negeri Sembilan, Malaysia

joseph.ng@newinti.edu.my

Zhuang Cheik EricMok, Faculty of Data Science and Information Technology, INTI International University, Nilai 71800, Negeri Sembilan, Malaysia

i18015046@student.newinti.edu.my

Koo Yuen Phan, Faculty of Information and Communication Technology, Universiti Tunku Abdul Rahman, 31900 Kampar, Perak, Malaysia

phanky@utar.edu.my

Jianhua Sun, Jiangsu Vocational College of Medicine, Jiangsu, China

16265375@qq.com

Zhiming Wei, Jiangsu Vocational College of Medicine, Jiangsu, China

4826537@qq.com

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Published

2024-05-07

How to Cite

Poh Soon JosephNg, Zhuang Cheik EricMok, Koo Yuen Phan, Jianhua Sun, & Zhiming Wei. (2024). Mitigating Social Media Cybercrime: Revolutionising with AES Encryption and Generative AI. Journal of Advanced Research in Applied Sciences and Engineering Technology, 46(2), 124–154. https://doi.org/10.37934/araset.46.2.124154

Issue

Section

Articles