A Survey on Security for IoT via Machine Learning

Shaurya Gupta, Sonali Vyas, Kanta Prasad Sharma

20202020 International Conference on Computer Science, Engineering and Applications (ICCSEA)18 citationsDOI

Abstract

Internet of Things (IoT) is the association wherein machines like sensors, appliances are able to talk to each other with no human involvement. These wireless sensor networks are the set of connections which are vulnerable to many security concerns. Hence, the security of IoT becomes vital. Machine learning motivates numerous resolutions to secure the IoT. Here, we review diverse intimidation that have a higher probability of attacking IoT and various machine learning procedure designed to counteract them.

Topics & Concepts

Internet of ThingsComputer scienceIntimidationComputer securitySet (abstract data type)Wireless sensor networkWirelessArtificial intelligenceMachine learningComputer networkTelecommunicationsSocial psychologyProgramming languagePsychologyNetwork Security and Intrusion DetectionAdvanced Malware Detection TechniquesAnomaly Detection Techniques and Applications