Trusted sensing cloud data collection and evaluation method

A data collection and sensing cloud technology, applied in the field of network security, can solve problems such as integrity, availability cannot be guaranteed, and malicious attacks cannot be resisted

Active Publication Date: 2017-06-23
HUAQIAO UNIVERSITY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention provides a credible sensor cloud data collection and evaluation method, which overcomes many disadvantages of the authentication and encryption method existing in the credible sensor cloud data collection and evaluation method of the prior art, and cannot resist malicio

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  • Trusted sensing cloud data collection and evaluation method
  • Trusted sensing cloud data collection and evaluation method
  • Trusted sensing cloud data collection and evaluation method

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Experimental program
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Embodiment Construction

[0074] Examples, see figure 1 As shown, due to the wide variety of malicious attacks in the network, the evaluation method of the present invention focuses on dealing with trust deception attacks and copying base station attacks, wherein trust deception attacks refer to malicious nodes deliberately recommending neighbor nodes with poor trustworthiness to subjective nodes, reducing Reliability of data transmission; base station replication attack means that the attacker obtains the key information by capturing the node, injects it into the replication base station, and then puts the replication base station into the monitoring area to carry out the attack, such as maliciously discarding data, injecting malicious code into the cloud server, leaking User privacy, etc.; Specifically, a trusted sensing cloud data collection method of the present invention mainly carries out trust evaluation on nodes and mobile base stations in the network in the sensing cloud data collection process...

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Abstract

The invention discloses a trusted sensing cloud data collection and evaluation method that is used for trust evaluation on a node and a mobile base station in a network during a sensing cloud data collection process. According to the method, a working area of a mobile base station is determined, wherein the area is determined by the number M of mobile base stations; the logical relationship of the system is determined as follows: sending data to a target node Sj by a subjective node Si; and when the target node Sj is not within the scope of the subjective node Si, data exchange needs to be forwarded by recommending a node; models for evaluating trust degrees of a node and a mobile base station in the network is established, wherein the models consist of a direct trust model Tdir, an indirect trust model Tindir and a functional trust model Tfunct; and then according to evaluation parameters Tdir, Tindir, and Tfunct obtained by calculation at the last step, a confidence level of sensing cloud data collection is determined. According to the invention, malicious attacks in the data collection process can be resisted effectively and the reliability of sensing cloud system data collection can be improved; and usability of the data can be ensured.

Description

technical field [0001] The present invention relates to the field of network security, in particular to a credible sensor cloud data collection and evaluation method, specifically, through trust evaluation of nodes and base stations in the sensor cloud network, the reliability and reliability of sensor cloud data collection are improved. integrity. Background technique [0002] The sensor cloud system is the product of the combination of sensor network and cloud computing. It not only has the ability to perceive the physical world, but also can efficiently process and store large amounts of data. The sensing cloud system has a three-layer structure: physical sensing layer, virtual sensing layer and user layer. The physical perception layer is composed of sensor nodes with different functions self-organized into a network, and provides sensing data to the upper layer. The virtual sensing layer is composed of a cloud server and a virtual sensor node group. The cloud server m...

Claims

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Application Information

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IPC IPC(8): H04W4/00H04W12/12H04L29/08H04L29/06
CPCH04L63/107H04L63/20H04L67/12H04W4/70H04W12/12
Inventor 王田李洋蔡绍滨田晖陈永红蔡奕侨
Owner HUAQIAO UNIVERSITY
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