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When there is a sudden change in the data sent to the PCA, a traffic loss may result... but this problem can be difficult to diagnose with the existing PCA statistics.
In many cases a change in trend is more important than a metric by itself... for example, a certain number of alien packets or Diffie Helman ciphers might be normal noise, but a sudden jump in these ratios may indicate a serious problem.
Several ideas to help with diagnosing traffic drop-offs:
These changes will be particularly helpful when traffic from multiple hosts and networks is arriving... as for example it may surface a problem on a particular host that might be visible in the overall statistics.
How will this idea be used?
These improvements will reduce diagnostic time and reduce the time to resolution when unexpected traffic changes cause data loss.
|What is your industry?||Banking|
|What is the idea priority?||Medium|
|Link to original RFE|