A survey of intrusion detection in Internet of Things

By Bruno Bogaz Zarpelão, Rodrigo Sanches Miani, Cláudio Toshio Kawakani, Sean Carlisto de Alvarenga. Journal of Network and Computer Applications, 2017

953 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Signal Processing

View Paper: https://www.semanticscholar.org/paper/1c65649ffb61144f867aa1dc526ddaac19b3cecd

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Citations in the corpus

Machine Learning in IoT Security: Current Solutions and Future Challenges (2019, methodology): “II Enhanced threat landscape, requirements, attacks, and their respective solutions in generic IoT security spectrum 2017 [14] IDS in IoT, detection methods, placement and validation strategies Sec.”
IoT: Internet of Threats? A Survey of Practical Security Vulnerabilities in Real IoT Devices (2019, methodology): “For this, lightweight intrusion detection methods have been presented in the last years [54].”
N-BaIoT—Network-Based Detection of IoT Botnet Attacks Using Deep Autoencoders (2018, methodology): “[12] Several methods, including anomaly detection Host and network Survey -”
Network Intrusion Detection for IoT Security Based on Learning Techniques (2019, methodology): “two reasons; first because many surveys have treated it in details like [28], [116]–[118]; second, because our survey concentrates on IoT systems with its heterogeneity and all the”
A Supervised Intrusion Detection System for Smart Home IoT Devices (2019, background): “[17] who provide a comprehensive literature review on the matter.”
A Survey on Emerging SDN and NFV Security Mechanisms for IoT Systems (2019, background): “tication [16], [17], detection systems [18], thus focusing on narrow range solutions and lacking a global vision.”
Conditional Variational Autoencoder for Prediction and Feature Recovery Applied to Intrusion Detection in IoT (2017, background): “Both capabilities can be used in current NIDS, which are part of network monitoring systems, and particularly in IoT networks [1].”
Internet of Things security and forensics: Challenges and opportunities (2018, background): “ development of cloud-enabled IoT networks [3]. Security issues such as privacy, access control, secure communication and secure storage of data are becoming significant challenges in IoT environment [4]. Moreover, every single device that we create, every new sensor that we deploy, and every single”
Intrusion detection systems for IoT-based smart environments: a survey (2018, methodology): “According to the recommendations in recent surveys of IDSs for IoT systems [3, 7], this paper focuses on the features of all IDS methods for the IoT that can be applied in smart environments.”
A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security (2018, background): “[19] conducted a survey on intrusion detection for IoT systems.”