# Towards Design and Development of Security Assessment Framework for Internet of Medical Things
## 2 Related Works  
[PERSON] et al. [20] developed a framework for detecting cyberattacks on medical devices that are connected to the internet. The researchers worked on reducing threats by the design scheme in this framework. To identify attacks on networked devices, the authors applied a decision tree approach. [PERSON] et al. [21] described a technique that uses cryptographic-based authentication and key exchange to prevent unwanted access to patients' IMDs. Instead of using batteries, this system uses an external radio frequency. In wearable and implantable devices, out-of-band (OBB) verification via extra channels is used [5]. In the body sensor network, biometrics was also employed to secure communication (BSN). In another study, [PERSON] et al. [22] proposed outer wearable equipment (the shield) that can be used to jam signals and commands delivered to an IMD by an unauthorized person. Their design obstructs others from decoding the IMD's communications. They can be decoded by the shield on its own. It also allows for the jamming of unapproved commands, such as those that attempt to change the shield's specific communications. After being applied in a radio application, it was evaluated with commercial IMDs. Hackers gain access to networks by exploiting virtual functionality used by remote physicians as well as patients' devices. As a consequence, manufacturers must deactivate remote management functionality as well as restrict it from obtaining measurements and audit trails, reducing the device's functionality [23]. [PERSON] and [PERSON] [24] proposed an IDS method that is premised on behavior-rule specifications for recognizing sensing devices that threaten the lives of patients. They suggested medical devices that could be utilized independently. [PERSON] et al. [25] developed IMDGuard to protect against jamming and spoofing attacks. [PERSON] et al. [26] suggested a method established on the basis of the Rabin verification algorithm to improve the signature signing procedure and prevent unauthenticated as well as distant orders from being sent to patients' IMDs. [PERSON] et al. [27] made use of the e-Health system's dispersed structure, allowing patients and physicians to complete authentication. Despite having higher computing costs and communication resources, the suggested attribute-based verification arrangement framework, known as PAAS, is considered to maintain advanced levels of privacy on attributes as well as attribute standards. Using extensive chaotic maps, [PERSON] et al. [28] established a secure authentication and authorization strategy for a cloud-oriented wireless body area network (WBAN) mechanism. Before disseminating the acquired health items, this scheme encrypts them. This approach can be used to authenticate patients in medical care systems. For wireless sensor networks, [PERSON] et al. [29] devised an access regulator system focused on ciphertext policy attribute-based encryption (CP-ABE). This method reduced administrative overhead as well as encryption and decryption times. This model is fine-grained and defines scalability and efficiency. [PERSON] and [PERSON] [30] created feature sets for IMD devices that were examined using three distinct algorithms: decision trees, Support Vector Machine (SVM), and K-means. A clustering method based on k-anonymity was presented by [PERSON] and [PERSON] [31]. The most similar records are delegated to the same groupings, making sure that identification privacy is maintained. The Euclidean distance is used to determine the correlation between two records, with the guidelines set according to the prescribed standards. A clustering algorithm predicated on k was proposed by [PERSON] and [PERSON] [32,33]. Records that are often the most comparable are grouped together, guaranteeing that identification privacy is preserved. The Euclidean distance is used to calculate the similarity between the two records, with the parameters specified according to the actual demand.