Improved smart city security using a deep maxout network-based intrusion detection system with walrus optimization

• Published in: PeerJ. Computer science Vol. 11; p. e2743
• Main Authors: Rajeh, Wahid, Aborokbah, Majed, S., Manimurugan, Albalawi, Umar, Aljuhani, Ahamed, Younes, Osama Shibl Abdalghany, Periyasami, Karthikeyan
• Format: Journal Article
• Language: English
• Published: United States PeerJ. Ltd 31.03.2025; PeerJ Inc
• Subjects: Analysis; Artificial Intelligence; Cybersecurity; Cyberterrorism; Detectors; IDS; Innovations; IoT; Marine mammals; Neural Networks; Public transportation; RFE; Safety and security measures; Smart city; Smart transportation; Transportation authorities; Saudi Arabia; RFE; Raspberry Pi; DMN; IDS; Cybersecurity; Smart transportation; Smart city; IoT

Smart cities, enabled by the Internet of Things (IoT), leverage technology to optimize urban living and enhance infrastructure. As urban environments become interconnected hubs of digital innovation, securing critical components like public transportation infrastructure becomes increasingly importan...