Anomaly intrusion detection systems in IoT using deep learning techniques: a survey

• Main Authors: Alsoufi, Muaadh. A., Razak, Shukor, Md. Siraj, Maheyzah, Ali, Abdulalem, Nasser, Maged, Abdo, Salah
• Format: Book Section
• Published: Springer Science and Business Media Deutschland GmbH 2021
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/96385/; http://dx.doi.org/10.1007/978-3-030-70713-2_60
• Institution: Universiti Teknologi Malaysia

Security has a major role to play in the utilization and operations of the internet of things (IoT). Several studies have explored anomaly intrusion detection and its utilization in a variety of applications. Building an effective anomaly intrusion detection system requires researchers and developer...