A survey and taxonomy of program analysis for IoT platforms

Abstract

Heterogeneity in the Internet of Things (IoT) environment is a critical issue for supporting security and privacy.IoT environment has become an open invitation to hackers to control and attack connected IoT devices. So, it has become essential to face security issues & challenges in IoT due to IoT applications' rapid development. Program Analysis (PA) is a method that focuses on defending against attacks on the systems implemented to detect malware applications. It is also responsible for adequately analyzing applications' behavior to provide security and privacy. This survey has been introduced carefully based on the systematic literature reviews (SLR) guidelines to provide a survey and taxonomy of the PA with its related topics: the sensitivity of analysis and characteristics of analysis. It presents a new classification of PA techniques. This classification has been created by examining the implemented security analysis systems (SAS) that detect various malware applications. More importantly, this survey presents the three types of SAS that used PA methods for the first time. Also, the related surveys, the performance metrics of PA and IoT Security Issues and Challenges have been discussed. Finally, future directions of the PA have been discussed.

Keywords

• IoT Security
• Program Analysis
• Security Analysis System
• Malware Detection