Wireless sensor network (WSN) trust evaluation method based on subjective belief

Abstract

The invention provides a wireless sensor network (WSN) trust evaluation method based on subjective belief, and belongs to the technical field of WSN security. The trust evaluation method comprises the following steps of: 1. implementing formal definition of trust values among nodes; 2. establishing and updating a trust evaluation sheet for an evaluation object by an evaluation subject; 3. calculating an observed value of the direct trust value during the current time period; 4. calculating the direct trust value during the current time period; 5. establishing a trust recommendation structure between the evaluation subject and the evaluation object; 6. calculating the recommendation trust value of the evaluation object by the evaluation subject; and 7. obtaining the overall trust value of the evaluation object and judging whether the evaluation object is trusted. The WSN trust evaluation method has the advantages that a universal WSN distributed trust evaluation method is established; the trust relationship among the nodes is defined; formal definition, calculation, update and transmission for node trust are realized based on the subjective belief; and subjectivity, fuzziness, uncertainty, dynamic nature and transitivity of the trust values are better reflected.

Description

(1) Technical field [0001] The invention belongs to the technical field of wireless sensor network security, in particular to the technical field of distributed trust management mechanism, and specifically relates to a wireless sensor network trust evaluation method based on subjective belief. (2) Background technology [0002] Wireless sensor network (referred to as sensor network) is composed of a large number of micro-sensor nodes with data acquisition and processing functions deployed in the monitoring area, and forms a multi-hop self-organizing network through wireless communication to realize cooperative perception, Collect and process the information of monitoring objects in the network coverage area. Wireless sensor networks can be widely used in military security, pipe network detection, environmental monitoring and prediction, industrial control, space exploration, medical care, smart home, smart transportation and smart cities, and will play an increasingly import...

AI Technical Summary

Problems solved by technology

② Incomplete measurement information, changes in the measurement environment, and node failures will all cause inaccurate measurement results

On the other hand, the collision, instability, unreliability and other characteristics of the node transmission channel are likely to cause the loss of data packets and the increase of uncertain measurement results.

③Although all nodes work together to obtain more accurate monitoring results, in the case of limited resources, selfish nodes or inaction nodes may reduce the degree of network participation to extend their own network life cycle

However, partial trust evaluation methods have the following problems: (1) It is difficult to fully express the subjectivity, uncertainty, ambiguity, transitivity and dynamics of sensor network node trust; (2) Neglecting the recommended trust between neighbor nodes (3) Neglecting malicious attacks on the trust mechanism itself, such as defamation attacks, collusion attacks, trust compensation and strategic attacks; (4) Neglecting the contextual relevance of trust content in specific scenarios; (5) Lack of necessary Trust decision-making method and risk calculation model

Images