Mitigating Social Media Cybercrime: Revolutionising with AES Encryption and Generative AI
DOI:
https://doi.org/10.37934/araset.46.2.124154Keywords:
AES Encryption techniques, cybercrime, secure communication, personal social media platforms, profitability, implementation; effectiveness, Generative AI, economic growth, resilient infrastructure, user experienceAbstract
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.