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Basically you are writing a classifier.

If you really want to go this route, you should probably check out Bayesian spam filtering and Paul Graham's Essay, because it relates to deciding which inputs are malicious (spam) and which are valid users (ham). Tim Peter's explanation of Paul Graham's method is very readable.

I don't know about state of the art IDsIDSes these days, but echoing Ams, you probably don't want to invent your own IDs, unless you are really interested in learning this area.

Basically you are writing a classifier.

If you really want to go this route, you should probably check out Bayesian spam filtering and Paul Graham's Essay, because it relates to deciding which inputs are malicious (spam) and which are valid users (ham). Tim Peter's explanation of Paul Graham's method is very readable.

I don't know about state of the art IDs these days, but echoing Ams, you probably don't want to invent your own IDs, unless you are really interested in learning this area.

Basically you are writing a classifier.

If you really want to go this route, you should probably check out Bayesian spam filtering and Paul Graham's Essay, because it relates to deciding which inputs are malicious (spam) and which are valid users (ham). Tim Peter's explanation of Paul Graham's method is very readable.

I don't know about state of the art IDSes these days, but echoing Ams, you probably don't want to invent your own IDs, unless you are really interested in learning this area.

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source | link

Basically you are writing a classifier.

If you really want to go this route, you should probably check out Bayesian spam filtering and Paul Graham's Essay, because it relates to deciding which inputs are malicious (spam) and which are valid users (ham). Tim Peter's explanation of Paul Graham's method is very readable.

I don't know about state of the art IDs these days, but echoing Ams, you probably don't want to invent your own IDs, unless you are really interested in learning this area.