| Commit message (Collapse) | Author | Age |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| |
Add detection of AccuWeather site/app and Google Classroom.
Improve detection of Azure, Zattoo, Whatsapp, MQTT and LDAP.
Fix some RX false positives.
Fix some "Uncommon TLS ALPN"-risk false positives.
Fix "confidence" value for some Zoom/Torrent classifications.
Minor fix in Lua script for Wireshark extcap.
Update .gitignore file.
Let GitHub correctly detect the language type of *.inc files.
Zattoo example has been provided by @subhajit-cdot in #1148.
|
|
|
|
|
|
|
|
|
|
|
|
|
| |
As a general rule, the higher the confidence value, the higher the
"reliability/precision" of the classification.
In other words, this new field provides an hint about "how" the flow
classification has been obtained.
For example, the application may want to ignore classification "by-port"
(they are not real DPI classifications, after all) or give a second
glance at flows classified via LRU caches (because of false positives).
Setting only one value for the confidence field is a bit tricky: more
work is probably needed in the next future to tweak/fix/improve the logic.
|
| |
|
|
|
|
|
|
|
| |
The goal is to have a (roughly) idea about how many packets nDPI needs
to properly classify a flow.
Log this information (and guessed flows number too) during unit tests,
to keep track of improvements/regressions across commits.
|
| |
|
| |
|
|
|
|
| |
Added packet lenght distribution bins
|
| |
|
| |
|
| |
|
|
|
|
| |
Improved IAT and byte distribution
|
| |
|
| |
|
| |
|
| |
|
| |
|
| |
|
|
|
|
| |
immediately spot elephants and mice
|
| |
|
| |
|
|
|
|
|
|
| |
MQTT (NOW 208, latest stable version 222)
RX ( NOW 209, latest stable version 223)
OPENDNS ( NOW 197, latest stable version 225 ).
|
| |
|
|
|