An Overview of using of Artificial Intelligence in Enhancing Security and Privacy in Mobile Social Networks

Mobile Social Networks (MSNs) have emerged as pivotal platforms for communication, information dissemination, and social connection in contemporary society. As their prevalence escalates, so too do concerns regarding security and privacy. This paper presents a furnishes a detailed analysis of these pressing issues and elucidates how Artificial Intelligence (AI) can be instrumental in addressing them. The study thoroughly explores a spectrum of security and privacy challenges endemic to MSNs, such as data leakage, unauthorized access, cyberstalking, location privacy, and more. Additionally, the investigation expands to encompass problems like impersonation, phishing attacks, malware threats, information overload, user profiling, inadequate privacy policies, third-party application vulnerabilities, and privacy issues related to photos, videos, end-to-end encryption, Wi-Fi connections, and data retention. Each of these issues is dissected in depth, highlighting the potential risks and implications for users. Furthermore, the paper underlines how AI can provide in mitigating these problems, establishing its fundamental role in fortifying the security and privacy of MSNs. This thorough analysis offers valuable insights and feasible solutions using AI to bolster security and privacy in the ever-evolving landscape of Mobile Social Networks.