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
Main Authors: Gao, Dongying, Guo, Caiwei, Ji, Wen, Chen, Shaoqin, Ji, Meiying, Li, Zheng, Lin, Sichen
Format: Conference Proceeding
Language:English
Subjects:
anomaly detection
computer security
Image processing
Intrusion detection
Power grids
Reliability
System performance
terminal-level intrusion detection
Time complexity
Training
Online Access:Request full text
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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