AI-Powered Phishing Detection and Mitigation for IoT-Based Smart Home Security

Abstract

Many people with no technical expertise are implementing smart home technology as it becomes more widely available without fully comprehending the privacy and safety risks involved. We interviewed with 40 smart home users with the goal to learn about their concerns and methods for reducing risks in order to fill this knowledge gap and offer knowledgeable advice. According to our research, users have a variety of concerns which are frequently measured against the benefits they observe in smart home technologies. Although some users expressed their concerns, others demonstrated that they were willing to take some risks. But we observed that these concerns weren't usually followed by robust mitigating strategies, mostly because users had restricted technological knowledge or few possibilities. Our study's distinctive emphasis on user experience reveals significant differences between knowledge and application of security and privacy protocols. This research offers useful recommendations for improving user regulate and create IoT-based technologies to Improved security for intelligent houses. Upcoming efforts to enhance the privacy and security of smart home devices can profit from these insights.