# A Systematic Review of Radio Frequency Threats in IoMT
## 2 Methodology
### The Source of Data  
Three electronic databases were included in the systematic review:  
* Web of Science (WoS);
* Scopus; \begin{table}
\begin{tabular}{p{113.8 pt} p{113.8 pt} p{113.8 pt} p{113.8 pt} p{113.8 pt}} \hline \hline
**Type of Attack** & **Section** & **Data** & **Method** & **Conclusion/Result** \\ \hline Categorization of attack levels—operating system level, user interface level—and how the sensitive information flows across the process are captured for further analysis. & 3.3 & 2 & 3 & The inheritance of password authentication shows the infancy of research rigor and does not contribute to sniffing attacks. \\ \hline This paper contributes to knowledge more than the practical implementation of design, artifacts, proof of concepts, experimentation, evaluation, and future direction. & 3.3 & 1 & 4 & The main idea will enhance the motivation to identify the research focus with potential questions. IoMT is operating under MICS or ISM frequency. \\ \hline The architectural design and completion of the Version 1 CASE-V testbed. They developed a web-based UI framework using the MEAN. & 3.4 & 2 & 4 & To reduce the dependability of an external penetration tester, a low-cost testbed can be performed to improve the effectiveness and usability of CSM. \\ \hline The research claims that open-source hardware and software can develop a testbed within 500 euros for ethical Industrial Control System hacking, education, competency development, and research. & 3.4 & 1 & 4 & According to the analysis, insider threats and associated toolsimpact levels 0 and 1 compared to a remote intruder. The author’s findings proved that a low-cost testbed is possible in the corporate ecosystem. \\ \hline Overview of publicly available data sets for intelligent cybersecurity intrusion detection system. Also, it proposed how ML and DL techniques can be used to analyze the raw network traffic data having real-time traffics from APT, malware, and botnets. & 3.5 & 2 & The research investigated the pros and cons between Machine Learning (ML) and Deep Learning (DL) algorithm support vector machines (SVM), deep belief network (DBN), recursive neural network (RNN), convolutional neural network (CNN), Fast-RNN and difference between ML and DL in terms of data and hardware dependencies, Feature processing, problem solving and execution time. \\ \hline They investigated the publicly available database—IEEE, Science Direct, ACM, and Springer Link, between 1990 and 2019 to address the questions.1.ML algorithm used for endpoint detection and response (EDR)2. Alternative available for the EDR. & 3.5 & 2 & 4 & The research claims to analyze the Publication Trends in EDR and the techniques used for EDR. \\ \hline Literature review data = 1; Public dataset = 2. & & & Literature study = 3; Experimental Study = 4. \\ \hline \hline \end{tabular}
\end{table} 
Table 3: _Cont._PubMed. The original research articles on IoT signal security in health care were identified using the Preferred Reporting Items for Systematic Reviews Meta-analysis (PRISMA) guidelines. Our search was for original research articles published exclusively in English between January 2002 and June 2022. This document contains PRISMA, as well as articles with full text and articles in English. We conducted a cross-disciplinary database search of research articles between inception and June 2022. To find articles published between 2012 and 2022, we used Boolean functions in electronic databases (PubMed, Scopus, and Web of Science). In this section, we have reviewed the research papers related to the cybersecurity framework, the layered classification of IoT, and cybersecurity impacts. Then, we cascaded the studies on attacks on physical layer protocols and further reviewed radio frequency attacks (RFA) on the IoMT. For example, they were sniffing attacks, tampering attacks on vehicular sensors, and replay attacks. Our research studies use the PRISMA approach for the identification, screening, eligibility, and inclusion of research papers.