Multi-Head Attention Enhanced Parallel Dilated Convolution and Residual Learning for Network Traffic Anomaly Detection
Source abstract
Abstract
Abnormal network traffic, as a frequent security risk, requires a series of techniques to categorize and detect it. Existing network traffic anomaly detection still faces challenges: the inability to fully extract local and g... | Find, read and cite all the research you need on Tech Science Press
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Anomaly Detection Techniques and Applications · Network Security and Intrusion Detection · Seismology and Earthquake Studies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (32)
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