# Wearable Sensors for Vital Signs Measurement: A Survey
## 3 Intelligent Prospect of Wearable Medical Sensors
### Intelligent Prospective Applications of Wearable Medical Sensors
#### 3.2.1 Prospects for Information Security of Wearable Medical Sensors
Furthermore, a cold chain transportation simulation experiment was carried out on the system, and the results showed that the hardware of the cold chain cooperative monitoring system was able to work normally, and the software design of the monitoring system met the basic requirements of the third-party logistics companies for the system; its accuracy also improved to a higher degree [55]. [PERSON] et al. (2021) analyzed big data security, and other related technologies, using data collected by medical sensors in the field of health; they also analyzed their new trends in solving real-world application challenges. At the same time, various well-known cryptography, biometrics, watermarking and blockchain-based medical application security technologies were also investigated [56]. A review of the above-mentioned scholars' research found that there is a relatively large amount of research into the security issues of the Internet of Things system, but there is relatively little research into the safe interaction of user data in the medical field. Therefore, in today's globalized information networks, it is extremely important to protect people's medical information. The security of medical data is reflected in many aspects, such as data privacy, data integrity, data timeliness, data identity verification, data anonymity, and secure positioning [57, 58, 59, 60]. Among them, data privacy is similar to that of wireless sensor networks and is regarded as the most important issue in BSN; data must be protected from leakage. If an attacker eavesdrops on communications and related key information, it may seriously harm the interests of patients, because the attacker can use the acquired data for many illegal purposes. Data integrity means that the system maintains the confidentiality of data and protects it from external modifications. If the attacker changes the data by adding some fragments, or processing the data packets, and forwards the changed data to the coordinator, a patient who may be critically life-threatened at that time could lose their life as a direct result, causing a great loss to society. In terms of the timeliness of data, if an attacker captures the data in transmission and uses an older key to replay it, so as to confuse the coordinator, it will cause irreparable damage to human health. Conversely, the secure location of the data can make it impossible for an attacker to report the wrong signal strength, thereby preventing them sending an incorrect report about the patient's location. Various security threats and attacks, such as data modification, counterfeiting,eavesdropping, and playback are thus avoided. Figure 4 presents the specific IoT security system for a wearable medical sensor network. As shown in Figure 4, in the IoT security system of the wearable medical sensor network, when the medical system server receives the data of a biosensor wearer from the local processor unit (LPU), it inputs the medical data into its database and analyzes it. Subsequently, depending on the degree of abnormality of the data, it is possible to interact with the wearer's family members, local physicians, and even the emergency department of a nearby medical center. When a person wears multiple biosensors on the body, and the medical system server receives regular updates from these sensors through the LPU, the server can maintain an operation table for each type of medical data received from the LPU. Consequently, the safety performance criteria of the wearable medical sensor system are achieved.