Deep Learning in IoT Intrusion Detection

• Published in: Journal of network and systems management Vol. 30; no. 1
• Main Authors: Tsimenidis, Stefanos, Lagkas, Thomas, Rantos, Konstantinos
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.01.2022; Springer Nature B.V
• Subjects: Communications Engineering; Computer Communication Networks; Computer Science; Computer Systems Organization and Communication Networks; Cybersecurity; Cybersecurity Management in the Era of AI; Deep learning; Economic impact; Electronic devices; Human influences; Impact analysis; Information Systems and Communication Service; Internet of Things; Intrusion detection systems; Networks; Operations Research/Decision Theory; Smart sensors; Deep learning; IDS; Cybersecurity; Internet of Things; Deep Neural Networks; Intrusion detection
• ISSN: 1064-7570; 1573-7705
• DOI: 10.1007/s10922-021-09621-9

The Internet of Things (IoT) is the new paradigm of our times, where smart devices and sensors from across the globe are interconnected in a global grid, and distributed applications and services impact every area of human activity. With its huge economic impact and its pervasive influence over our...