Research on Communication Instruction Detection in Automatic Test System Based on TextRNN

Operation instructions are an important component of communication process data in automatic test system. The effectiveness and accurate transmission of instructions, that have a direct impact on test results, are prerequisite elements for the correct execution of actions by equipmen. The current research on anomaly detection of communication instructions is not sufficient, and there is a lack of corresponding publicly available datasets for training. This article extracts instruction and process feature data from the communication data of automatic test system, then constructs a dataset of communication instructions for automatic test system with a certain scale. Based on the dataset, a communication instruction anomaly detection model for automatic test system based on TextRNN is proposed, which uses deep learning algorithms to complete instruction anomaly detection and achieve improvement in intelligence. The experimental results on the constructed dataset show that the proposed model achieves an accuracy of 84.74% in instruction anomaly detection and 83.11% in anomaly instruction type recognition.

• Publication year

  2024

• Venue

  Proceedings of the 2024 3rd International Conference on Cryptography, Network Security and Communication Technology

• Publication date

  2024-01-19

• Fields of study

  Not labeled

• Identifiers
  DOI 10.1145/3673277.3673389
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Flow-based intrusion detection on software-defined networks: a multivariate time series anomaly detection approach

  2023cited by this paper
• Secure Data Transmission and Trustworthiness Judgement Approaches Against Cyber-Physical Attacks in an Integrated Data-Driven Framework

  2022cited by this paper
• Electronic Controller Automatic Test System Based on Intelligent Control Algorithm

  2022cited by this paper
• Research on the Automatic Test System of Motor Drive

  2019cited by this paper
• A sense of self for Unix processes

  1996cited by this paper
• Recursive Distributed Representations

  1990cited by this paper

• No citing papers are available for this paper.