The application provides an industrial control protocol
covert channel detection method and
system, the method comprises the following steps: obtaining multi-source industrial
control network communication data, obtaining conversation flow, command flow and field level change sequence through protocol identification and
hierarchical analysis; dividing three behavior windows of
fixed time length, conversation length and logical transaction, extracting communication events to form multi-
granularity behavior sequence; calculating information entropy, transition entropy or structure entropy and normalizing to construct dynamic baseline entropy image; detecting entropy variation drift based on adaptive sliding threshold, marking abnormal interval; performing multi-dimensional feature clustering on entropy variation events and combining logical
verification to output suspected
covert channel instances; generating a
traceability report and feeding back optimized detection
model parameters. Through multi-scale entropy analysis and closed-
loop optimization, the application realizes high-precision, low-
false alarm and adaptive detection of the
covert channel.