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.

物联网 (IoT) 环境中的异构性是支持安全和隐私的关键问题。

物联网环境已成为黑客控制和攻击连接物联网设备的公开邀请。因此，由于物联网应用的快速发展，面对物联网的安全问题和挑战变得至关重要。程序分析 (PA) 是一种方法，其重点是防御对为检测恶意软件应用程序而实施的系统的攻击。它还负责充分分析应用程序的行为以提供安全性和隐私。本次调查是根据系统文献综述 (SLR) 指南精心推出的，旨在提供 PA 的调查和分类及其相关主题：分析的敏感性和分析的特征。它提出了 PA 技术的新分类。此分类是通过检查检测各种恶意软件应用程序的已实施安全分析系统 (SAS) 来创建的。更重要的是，本次调查展示了首次使用 PA 方法的三种 SAS。此外，还讨论了相关调查、PA 的性能指标和物联网安全问题和挑战。最后，讨论了 PA 的未来发展方向。