Static Analysis of Information Systems for IoT Cyber Security: A Survey of Machine Learning Approaches

• Published in: Sensors (Basel, Switzerland) Vol. 22; no. 4; p. 1335
• Main Authors: Kotenko, Igor, Izrailov, Konstantin, Buinevich, Mikhail
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 10.02.2022; MDPI
• Subjects: Algorithms; analytic model; Automation; cyber security; Cyberterrorism; Data security; Information systems; Internet of Things; Investment analysis; IoT systems; Machine learning; Performance evaluation; Review; Security management; Software; static analysis; survey model; Surveys; Taxonomy; New York; cyber security; IoT systems; static analysis; survey model; formalization; analytic model; machine learning

Ensuring security for modern IoT systems requires the use of complex methods to analyze their software. One of the most in-demand methods that has repeatedly been proven to be effective is static analysis. However, the progressive complication of the connections in IoT systems, the increase in their...