A Method for Abnormal Diagnosis of Perceptual Node Program Based on Abnormal Task Function Trajectory

A technology for sensing nodes and abnormal functions, applied in data exchange networks, digital transmission systems, electrical digital data processing, etc., can solve the problems of identification difficulties, difficulty in obtaining training data sets and verification data sets, and difficulty in defining the scope of normal behavior, etc. Achieve the effect of improving algorithm efficiency, fast extraction, and reducing analysis overhead

Active Publication Date: 2021-06-18
CHANGAN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] (1) It is difficult to define a range that includes all possible normal behaviors
[0006] (2) Some anomalies from malicious attackers make it difficult to identify them with the help of normal patterns
[0007] (3) With the development of advanced technologies such as information technology and radio technology, wireless sensors are gradually being applied to new fields, and the existing anomaly definition is not suitable for anomaly detection in new application fields
[0008] (4) A definite exception definition cannot be used to define exceptions in different application fields
[0009] (5) It is difficult to obtain accurate and representative training data sets and verification data sets

Method used

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  • A Method for Abnormal Diagnosis of Perceptual Node Program Based on Abnormal Task Function Trajectory
  • A Method for Abnormal Diagnosis of Perceptual Node Program Based on Abnormal Task Function Trajectory

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Experimental program
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Embodiment

[0035] The experiment consists of 4 TelosB nodes running TestDissemination (TinyOS application), and the communication radius of the nodes is set to 50 meters.

[0036] Such as figure 1 Shown is the node network topology diagram of a version with system defects in this example when it is running normally. Among them, node 1 is a distribution node, which sends data to its child nodes regularly, node 2 directly communicates with node 1, and nodes 3 and 4 can only communicate with node 1 through node 2.

[0037]In order to test the execution behavior of node 2 after losing the distribution node, two test cases are designed, and the simulation time of the two test cases is 1 hour. Test case 1 is to delete the node 1 when the program runs for 45 minutes after the faulty code is repaired, and it ends after running for 1 hour. Here, it is assumed that the program can run normally after the faulty code is repaired. In test case 2, the fault code is used, and node 1 is also deleted a...

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Abstract

The invention discloses a method for diagnosing abnormalities of perception node programs based on abnormal task function traces. The method only detects functions called by abnormal tasks that have not been inlined, counts the calls of these functions, and performs log records of function calls. In this way, it can not only remove the interference of redundant information on diagnosis, but also realize the rapid extraction of useful information, improve the efficiency of the algorithm, and reduce the analysis overhead.

Description

technical field [0001] The invention relates to the technical field of wireless sensor networks, in particular to a method for diagnosing abnormality of a sensing node program based on an abnormal task function trajectory. Background technique [0002] In recent years, the application of wireless sensor networks has become more and more extensive, making its network structure more and more complex, its functions more and more perfect, and its automation degree is getting higher and higher, which promotes the rapid development of intelligent transportation systems. However, since the transportation system itself is a complex giant system with a large amount of information and strong dynamics, the application of wireless sensor networks is affected by various unavoidable factors and the application environment is complex and harsh. Problems such as environmental interference, hardware failure, and software failure may occur. These problems will not only affect network perform...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F11/36H04L12/24
CPCG06F11/366G06F11/3684G06F11/3688H04L41/145
Inventor 马峻岩王瑾张颖李易张特
Owner CHANGAN UNIV
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