Study on Trust Model of Internetware System

2015 ◽  
Vol 713-715 ◽  
pp. 2486-2490
Author(s):  
Tao He ◽  
Yong Wei ◽  
Hua Zhong Li ◽  
Li Na Fang ◽  
Shou Xiang Xu ◽  
...  
Keyword(s):  
Time Frame ◽  
Trust Model ◽  
Game Model ◽  
Measurement Results ◽  
Dynamic Trust ◽  
On Line ◽  
Weighted Factor ◽  
Trust Metric ◽  
Trust Measurement ◽  
Metric Model

We take the overall architecture of internetware on-line evolution model as basic, and study on trust metric model of the software in internetware system. In view of the not accurate results from the rough and existing trust metric model granularity, this paper proposed a multi service and hierarchical dynamic trust metric model based on time frame. Model also offer a method to established time frame weighted factor based on inducing ordered weighted operator, which makes the trust measurement results more accurate. The trust measurement results obtained from the model will be used as decision-making basis for Bias game model.

scholarly journals Construction of Internet of things trusted group based on multidimensional attribute trust model

2021 ◽  
Vol 17 (1) ◽  
pp. 155014772198988
Author(s):  
Jinghan Chen ◽  
Bei Gong ◽  
Yubo Wang ◽  
Yu Zhang
Keyword(s):  
Internet Of Things ◽  
Trust Model ◽  
Group Signature ◽  
Malicious Nodes ◽  
Maintenance Mechanism ◽  
Proposed Model ◽  
Dynamic Maintenance ◽  
Trust Metric ◽  
Network Overhead ◽  
Trust Measurement

Accurate prediction of the trust relationship is the basis for trusted access and secure interaction between Internet of things nodes. To evaluate the degree of trust, a trust metric is assigned to every node depending on its several attributes. Normal nodes in Internet of things tend to suffer collusion attacks from malicious nodes; thus, the accuracy of the trust measurement decreases. To enhance the security of interaction between massive Internet of things nodes, we propose a multidimensional attribute trust model and a dynamic maintenance mechanism of a trusted group. The proposed model provides a reference for the selection and evaluation of node multidimensional attribute factors to adapt to different Internet of things application scenarios. The dispersion of satisfaction records is used to discover abnormal data and weaken its influence on the calculation of the node’s comprehensive trust evaluation. The construction of trusted groups provides an architectural foundation for the application of group signature that maintains low network overhead. The performance of multidimensional attribute trust model and dynamic maintenance mechanism is verified using Netlogo. Simulation results show the efficiency of the proposed model to classify the malicious nodes and honest nodes, as well as to build a trusted group that could ensure honest nodes occupy the major proportion.

Research on mobile Internet mobile agent system dynamic trust model for cloud computing

2019 ◽  
Vol 16 (7) ◽  
pp. 174-194 ◽  
Author(s):  
Weijin Jiang ◽  
Yang Wang ◽  
Yirong Jiang ◽  
Jiahui Chen ◽  
Yuhui Xu ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Mobile Agent ◽  
Trust Model ◽  
Mobile Internet ◽  
System Dynamic ◽  
Agent System ◽  
Dynamic Trust

On-line Flow Cytometry for Real-time Surgical Guidance

Neurosurgery ◽  
2004 ◽  
Vol 55 (3) ◽  
pp. 551-561 ◽  
Author(s):  
Ali H. Mesiwala ◽  
Louis D. Scampavia ◽  
Peter S. Rabinovitch ◽  
Jaromir Ruzicka ◽  
Robert C. Rostomily
Keyword(s):  
Decision Making ◽  
Real Time ◽  
Dna Content ◽  
Time Frame ◽  
Tissue Samples ◽  
Surgical Decision ◽  
Surgical Guidance ◽  
On Line ◽  
Surgical Decision Making ◽  
Line Analysis

Abstract OBJECTIVE: This study tests the feasibility of using on-line analysis of tissue during surgical resection of brain tumors to provide biologically relevant information in a clinically relevant time frame to augment surgical decision making. For the purposes of establishing feasibility, we used measurement of deoxyribonucleic acid (DNA) content as the end point for analysis. METHODS: We investigated the feasibility of interfacing an ultrasonic aspiration (USA) system with a flow cytometer (FC) capable of analyzing DNA content (DNA-FC). The sampling system design, tissue preparation requirements, and time requirements for each step of the on-line analysis system were determined using fresh beef brain tissue samples. We also compared DNA-FC measurements in 28 nonneoplastic human brain samples with DNA-FC measurements in specimens of 11 glioma patients obtained from central tumor regions and surgical margins after macroscopically gross total tumor removal to estimate the potential for analysis of a biological marker to influence surgical decision making. RESULTS: With minimal modification, modern FC systems are fully capable of real-time, intraoperative analysis of USA specimens. The total time required for on-line analysis of USA specimens varies between 36 and 63 seconds; this time includes delivery from the tip of the USA to complete analysis of the specimen. Approximately 60% of this time is required for equilibration of the DNA stain. When compared with values for nonneoplastic human brain samples, 50% of samples (10 of 20) from macroscopically normal glioma surgical margins contained DNA-FC abnormalities potentially indicating residual tumor. CONCLUSION: With an interface of existing technologies, DNA content of brain tissue samples can be analyzed in a meaningful time frame that has the potential to provide real-time information for surgical guidance. The identification of DNA content abnormalities in macroscopically normal tumor resection margins by DNA-FC supports the practical potential for on-line analysis of a tumor marker to guide surgical resections. The development of such a device would provide neurosurgeons with an objective method for intraoperative analysis of a clinically relevant biological parameter that can be measured in real time.

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