Privacy, trust and confidentiality are the main issues of sensor layer in Internet of Things (IOT). In sensor layer, the sensing information must be transmitted from sensor node to gather node by multiple hopping. Every sensor node will be the sender and the relay node to forward the sensing information sent by other nodes. In this paper, BS embeds S+1 secret into the keys that are derived from the real identity of sensor node, to be as the private secret keys for every sensor node. One of the secret is the common secret that is owned by all sensor nodes, the rest S secretes are the random secret used for making mutual trust. Based on the secret index set and private secret keys, we propose a mutual trust method to explore the trust types and the pairing value among the sensor nodes without any negotiating process. To deny the right of malicious nodes to make trust with other nodes, we involve a group key to hash the secret index set to do making trust and pairing value mutually. Based on the trust types and the pairing values, the sensor nodes can set a secure path to deliver the sensing information to base station.KEYWORDS: Internet of Things (IOT), Random key predistribution (RKP), Random secret pre-distribution (RSP), Identity based cryptograph (IBC), Privacy-Trust-Confidentiality (PTC)

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COVID-19 has been a hot topic of research in medical journals. There are many articles which have been published on the genetic sequencing, pathology and other medical conditions associated with COVID-19, however, there are very few articles which acknowledge the psychological and behavioral aspects of front-line medical workers especially nurses. The purpose of the study is to understand the stressors, psychological behavior status and the correlation between psychological behavior and stressors for nurses who served in COVID-19 ward. The general information questionnaire, the nurse job stressor scale in Chinese, and the emergency public health incident questionnaire were used to survey 282 nurses in Jingzhou Central Hospital who supported COVID-19 ward. The result shows that the average work stress of nurses in this study was 1.40 ± 0.54 points. The top 3 dimensions were conceptual stress (1.67 ± 0.68), working environment stress (1.57 ± 0.60), and occupational hazard stress (1.57 ± 0.66). With different marital status, the average scores of stress are different, and the difference is statistically significant (t = 2.139, P = 0.034). For nurses in COVID-19 ward who faced sudden public health crisis, the self-evaluated psychological score of nurses in COVID-19 ward averages 1.40 with a deviation of 0.54. In our study, fear had the highest influence on psychological behavior, while the lowest was the compulsive-anxiety factor. There was a positive correlation between the stressor scores and the psychological behavior scores (P < 0.01). The conclusion is that the pressure of nurses supporting COVID-19 ward is under moderate pressure, and the psychological behavior is moderately responded with a few nurses having psychological behavior deviation.

By consulting the application of positive psychological intervention in clinical nursing at home and abroad, this paper combs the positive psychology, positive psychological intervention, positive psychological intervention methods and the research and application in clinical nursing, to improve the reference for future research. Key words: Positive Psychology; Positive Psychological Intervention; Mindfulness Therapy; Positive Emotion; Psychological Nursing.

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