Abstract

The rapid evolution of smart tourism platforms has transformed the travel and hospitality industry, enhancing user experiences through personalized services and real-time data access. However, this technological advancement also raises significant concerns regarding food safety and user privacy. By detecting and reacting to malicious activity and unauthorized access, Intrusion Detection Systems (IDS) are essential in reducing these risks. This article examines IDS's current status in relation to smart tourism platforms, emphasizing its technical implementations, efficacy, and difficulties. The study highlights the necessity of flexible, machine learning-based strategies to improve security measures and offers a thorough framework for incorporating IDS into smart tourism systems. The results highlight how crucial strong IDS are to protecting private user information and guaranteeing food safety in a world that is becoming more networked by the day.