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2026-10-20, Week 43
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Virual Oral Question and Answer
IEEE/ICACT20260079 Question.3
Questioner: hhl9438@chungbuk.ac.kr    2026-02-09 오후 5:26:21 		IEEE/ICACT20260079 Answer.3
Answer by Auhor juniorokangondoloshima@esp.sn   2026-02-09 오후 5:26:21
For network anomaly detection using Autoencoders, how do you determine the reconstruction error threshold? Is it static, or does it adapt dynamically to different network environments (e.g., Wi-Fi vs. LTE)? The reconstruction error threshold of the autoencoder is not defined arbitrarily, but is empirically determined based on the distribution of errors observed during the training and validation phases on legitimate network flows. We adopt an adaptive strategy: through incremental learning and the continuous integration of data collected under real-world conditions, the model progressively refines its representation of normal traffic, allowing the effective threshold to dynamically adapt to different network environments, such as Wi-Fi or LTE, while maintaining a low false positive rate and stable performance.

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