Research on trust measure and management for open distributed systems based on dynamic grouping by Li-ming JIANG, Zhi-ming LIU, Kun ZHANG, Jian XU, Hong ZHANG

“…A stability enhanced group-based trust model(denoted by SEGTM) for open distributed systems was presented to solve the problems of not sufficiently maintaining trust relation between peers due to the dynamic changes in trust network topology.First,the formation and dynamic management of peers' group were depicted in detail,including nodes gathered into the same group with similar interests,competition for group head and nodes within the group leave in active or passive ways.Then,the trust relation in proposed model was categorized into three kinds and subsequently each solution for these kinds was also put forward.So,the problems of decline in accuracy of computational trust degree between peers due to the difference of peers' interests and low probability of repeated transactions between them were addressed.Simulation results show that the model not only enhances the fairness and stability in response to dynamic changes in network topology,but also can effectively resist the attacks of malicious nodes.…”
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Sinkhole attack detection based on fusion of ACO and P2P trust model in WSN by Wumaier HENIGULI

“…Finally，P2P trust model was used to compute trust value of each suspicious node，and the node with trust value was lower than the preset threshold as invasion of node. …”
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Research on cloud computing users’ public safety trust model based on scorecard-random forest by Shengli ZHOU, Canghong JIN, Lifa WU, Zheng HONG

“…Traditional cloud computing trust models mainly focused on the calculation of the trust of users’ behavior.In the process of classification and evaluation,there were some problems such as ignorance of content security and lack of trust division verification.Aiming to solve these problems,cloud computing users’ public safety trust model based on scorecard-random forest was proposed.Firstly,the text was processed using Word2Vec in the data preprocessing stage.The convolution neural network (CNN) was used to extract the sentence features for user content tag classification.Then,scorecard method was used to filter the strong correlation index.Meanwhile,in order to establish the users’ public safety trust evaluation model in cloud computing,a random forest method was applied.Experimental results show that the proposed users’ public safety trust evaluation model outperforms the general trust evaluation model.The proposed model can effectively distinguish malicious users from normal users,and it can improve the efficiency of the cloud computing users management.…”
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Lightweight privacy preservation blockchain framework for healthcare applications using GM-SSO by Adla Padma, Mangayarkarasi Ramaiah

“…Tiny Feistel Cipher Encryption technique (TFCEA), a lightweight cryptographic technique, has been proposed to encrypt IoMT data. Based on the computed trust score, an Adaptive Proof of Work (APoW) consensus algorithm has been used to regulate block creation. …”
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