Anomaly Detection System for Terminal-Level Data Access Behavior

Terminal devices are critical in establishing efficient, reliable, and secure computer network systems. Anomaly detection, a key technique in computer security, is widely researched for its adaptability and ability to recognize novel attacks, despite facing issues such as low efficiency. To address...

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Bibliographic Details
Published in2024 9th International Conference on Signal and Image Processing (ICSIP) pp. 341 - 345
Main Authors Gao, Dongying, Guo, Caiwei, Ji, Wen, Chen, Shaoqin, Ji, Meiying, Li, Zheng, Lin, Sichen
Format Conference Proceeding
LanguageEnglish
Published IEEE 12.07.2024
Subjects
anomaly detection
computer security
Image processing
Intrusion detection
Power grids
Reliability
System performance
terminal-level intrusion detection
Time complexity
Training
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Summary:Terminal devices are critical in establishing efficient, reliable, and secure computer network systems. Anomaly detection, a key technique in computer security, is widely researched for its adaptability and ability to recognize novel attacks, despite facing issues such as low efficiency. To address the monitoring and identification of anomalous behaviors by users during data access at the terminal level, a comprehensive assessment incorporating data content, methods of operation, and user behavior is essential. Therefore, a terminal-level data access anomaly detection system utilizing the TL- IDA algorithm is proposed. This system employs a sliding window technique to enhance its performance. The primary aim is to increase data security and prevent unau-thorized access, providing guidance for the prompt adoption of appropriate security measures to ensure the protection of data.
ISSN:2642-6471
DOI:10.1109/ICSIP61881.2024.10671411