## 2 Background and Related Work
### Cyber Security of Smart Health Domain
\begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Reference** & **Survey (S) or Research (R)** & \
\begin{tabular}{c} **Employs Deception** \\ **Technology or Not** \\ **(Yes—\(\surd\), No—X)** \\ \end{tabular} &
\begin{tabular}{c} **Scope of the Study** \\ **Scope of the Study** \\ \end{tabular} \\ \hline ([PERSON] et al., 2019), [17] & R & X & The study proposes a cloud-based healthcare system using IoT sensors to enable early disease detection and remote patient monitoring while addressing security concerns through (Software-defined networking) SDN and data encryption. \\ \hline ([PERSON] et al., 2021), [18] & S & X & The study explores the present status of security and privacy for the IoT in the healthcare sector, the obstacles found in adopting security frameworks, and recommends security and privacy solutions. \\ \hline ([PERSON] et al., 2020), [19] & S & X & Provides an up-to-date assessment of the numerous challenges and open concerns encountered in smart healthcare owing to traditional security mechanisms and the security requirements of such domains. It also combines the potential of blockchain technology as a promising security measure, identifies potential challenges in the healthcare industry, and analyzes several blockchain-based security solutions. \\ \hline ([PERSON] et al., 2022), [20] & R & X & The authors investigate the move to a patient-centric healthcare paradigm that employs IoT, AI, and wearable technologies to enable remote diagnosis and monitoring, hence increasing accessibility and affordability. It emphasizes the security difficulties that this change presents and provides an AI-based architecture using 6G networks to improve data security, displaying excellent accuracy in securing smart healthcare systems. \\ \hline ([PERSON] et al., 2021), [23] & S & X & The authors describe how advances in electronic device downsizing and enhanced data networks have enabled smart settings, such as homes and cities, to deliver tailored real-time services. It emphasizes the promise of smart healthcare to improve medical services and cut costs, while also noting the major security and privacy risks associated with managing the enormous variety of networked devices and systems. \\ \hline ([PERSON] et al., 2023), [24] & S & X & BioMEMS plays a critical role in improving IoT communication security in smart healthcare systems by allowing for individualized diagnoses and monitoring. However, they raise serious security and privacy concerns. In this regard, researchers examine these concerns, investigate potential security solutions, and emphasize the relevance of ethical and regulatory considerations in ensuring patient safety and data integrity in the rapidly changing world of smart healthcare. \\ \hline ([PERSON] et al., 2016), [25] & R & \(\surd\) & The authors present a wearable honeypot device for Body Area Networks (BANs) that detects unwanted communication tampering via fake health data transmitted between a base station and decoy nodes. This technique intends to provide adaptive security that improves protection under attacks while reducing performance overhead in normal settings. \\ \hline \hline \end{tabular}
\end{table} 
Table 1: _Cont._Overall, the evaluated literature indicates that the majority of the study is restricted to surveys or reviews, with only a few studies focusing on the security component of smart health. Nonetheless, none of the papers examined focused on cyber threat intelligence for smart health, indicating a crucial gap in the current research environment. Having provided a brief overview of cyber security in smart health ecosystems covering the most recent literature available, the next section provides a brief discussion of deception technology before going on to the creation of the novel deception technology-based cyber threat hunting platform.