Update releases.

Author: aouinizied

docs/api.md

@@ -136,8 +136,8 @@ In the following we detail each implemented feature.
 | `requested_server_name` | `str`  | Requested server name (SSL/TLS, DNS, HTTP). |
 | `client_fingerprint` | `str`  | Client fingerprint (DHCP fingerprint for DHCP, [JA3][ja3] for SSL/TLS and [HASSH][hassh] for SSH). |
 | `server_fingerprint` | `str`  | Server fingerprint ([JA3][ja3] for SSL/TLS and [HASSH][hassh] for SSH). |
-| `http_user_agent` | `str`  | Extracted HTTP user agent. |
-| `http_content_type` | `str`  | Extracted HTTP content type. |
+| `user_agent` | `str`  | Extracted user agent for HTTP or User Agent Identifier for QUIC. |
+| `content_type` | `str`  | Extracted HTTP content type. |
 
 #### Post-Mortem Statistical Features (statistical_analysis=True)
 
@@ -231,7 +231,6 @@ class NFPlugin(object):
                     flow.udps.packet_40_count = 0
         ----------------------------------------------------------------
         """
-        pass
 
     def on_update(self, packet, flow):
         """
@@ -242,7 +241,6 @@ class NFPlugin(object):
                     flow.udps.packet_40_count += 1
         ----------------------------------------------------------------
         """
-        pass
 
     def on_expire(self, flow):
         """
@@ -261,7 +259,6 @@ class NFPlugin(object):
                  del self.large_dict_passed_as_plugin_attribute
         ----------------------------------------------------------------
         """
-        pass
 ```
 
 ### NFPacket object

docs/datasets.md

@@ -7,9 +7,10 @@ nav_order: 5
 
 # NFStream Datasets
 
-As part of NFStream Framework, we offer an open datasets collection that are collected using NFStream in several network 
+As part of NFStream Framework, we offer an open datasets collection that are collected using NFStream from several network 
 environments. Our goal is to make network traffic measurement and analytics experiments simple, comparable, and 
-reproducible (**coming soon**).
+reproducible. Datasets are built using NFStream default values. We enable both statistical and SPLT analysis. Generated 
+CSVs file are anonymized using Blake2 algorithm with a randomly generated 64 bytes secret key. (**coming soon**)
 
 ## Table of contents
 {: .no_toc .text-delta }

docs/releases.md

@@ -15,9 +15,17 @@ This page contains NFStream release history
 
 - GitHub page: <https://github.com/aouinizied/nfstream>{:target="_blank"}
 
+
+## Latest Official Release - v6.1.3
+
+Release date: 2020-09-21 {% include new-release.html %}
+
+* Add user_agent extraction on QUIC.
+
+
 ## Latest Official Release - v6.1.2
 
-Release date: 2020-09-17 {% include new-release.html %}
+Release date: 2020-09-17
 
 * Limit contention by excluding hyperthreading from scaling heuristic.
 * Change idle and active timeouts default values.