Ubuntu Manpage: racluster.conf - racluster flow model definitions.

Provided by: argus-client_3.0.8.2-6.2ubuntu4_amd64

NAME

       racluster.conf - racluster flow model definitions.

SYNOPSIS

       racluster.conf

DESCRIPTION

       Programs  that  perform  flexible  aggregation  of  argus  data,  such as racluster(1) and
       radium(8), can be configured to aggregate using arbitrary flow models.  This configuration
       file  provides  a syntax for flow matching and aggregation model assignments on a per flow
       basis, allowing for highly flexible aggregation strategies on a single argus stream.

       The configuration file is structured as  a  set  of  initialization  variables,  and  then
       followed by a collection of filter matching statements and model definitions.  The concept
       is that one identifies specific Argus Flow Activity Records  through  specification  of  a
       Argus  filter,  and  if  the  filter  matches, then that record will be modified using the
       optional racluster aggregation model, and then aggregated with other records that  matched
       the  filter.   If  the  filter  does  not match, racluster will "fall through" to the next
       filter.

       The 'cont' keyword will cause racluster to continue with the current argus record, to  the
       next  configuration  item  in  the fall through configuration.  When the 'cont' keyword is
       used, records will be counted multiple times, so be  cognizant  of  what  your  trying  to
       accomplish.

OPTIONS

       The aggregation clients have a small number of options for controlling specific aspects of
       aggregation function and output.

RACLUSTER_MODEL_NAME

       Racluster configurations can be named.  This is important  for  ra*  aggregation  programs
       that  support  multiple  concurrent models at a time, so you can tell them apart.  This is
       completely optional.

RACLUSTER_REPORT_AGGREGATION

       Racluster, when it merges argus records together, adds a new  aggregation  metric  to  the
       resulting  record,  which  reports  on the number of records that were merged together and
       provides some additional statistical values that provide record  arrival  rates  and  mean
       record  durations.   By  setting this option to "no", you can have racluster() not provide
       this metric.  This is very important if you have multiple aggregatation processes  'piped'
       in  order  to generate complex aggregation reports.  It is also useful when creating full-
       duplex records from half-duplex merging operations.

       RACLUSTER_REPORT_AGGREGATION=yes

RACLUSTER_PRESERVE_FIELDS

       All aggregation clients detect when a flow descriptor object would need to be modified  to
       conform  to  an  aggregation  result.  If you merge two records that have different source
       addresses, the merge process will modify the source addresses.  For all fields  there  are
       specific  algorithms  used  to  perserving  as much data as possible so that the result is
       'PRESERVE'ing.  For IP addresses, the algorithm preserves the longest prefix match.   This
       is valuable information when attempting to discover trends.

       However,  some applications may want the resulting output to completely conform to the new
       flow definitions.  In other words, if you are aggregatating and the source address is  not
       in the key, the algorithm will zero out the source address prior to record merging.

       To  force  racluster()  like  programs  to convert flow descriptions to the new flow model
       descriptors, set this option to "no".

       RACLUSTER_PRESERVE_FIELDS=yes

RACLUSTER_AUTO_CORRECTION

       When aggregating Argus records together, all  aggregation  clients  have  the  ability  to
       autocorrect  the  assignment  of  flow  initiator  and  receiver.   This  is important for
       processing Argus records derived from Cisco Netflow style flow  monitors,  and  for  Argus
       records  that were generated by long lived flows that have extended idle periods.  Because
       it is possible for ra*  aggregation  clients  to  receive  half-duplex  flow  records,  or
       multiple flow records for the same long live flow, autocorrecting the argus records allows
       the client aggregation process to match A -> B and B -> A records that belong to the  same
       flow.

       However,  with  certain  flow  aggregation  models,  the  autocorrection  logic  can cause
       aggregation mis-match, merging dissimilar flow together.  This is especially the case  for
       complex aggregations where fields are ignored only on specific record types.  As a result,
       when providing custom aggregation models, autocorrection is disabled by default.

       If you would like to re-enable the autocorrection function, set this variable to "yes";

       RACLUSTER_AUTO_CORRECTION=no

RACLUSTER_AGG_METRIC

       When aggregating Argus records together, one metric in  the  records  is  accumulated  and
       processed  to  generate 'mean', 'max', 'min', ´sum', and 'stddev' values.  Any metric from
       the list of printable metrics can be provided as the basis for the aggregation statistics.

       Records with different metrics cannot be aggregated together, as the resulting  statistics
       would be meaningless.  If you are in doubt, remember to use the '-M dsrs="-agr"' option to
       ensure that you generate your desired result.

       RACLUSTER_AGG_METRIC=dur

AGGREGATION CONFIGURATION

An aggregation configuration is composed of one or more aggregration statements. An
aggregation statement contains, on a single line, a mandatory filter specification, and
optionally a model specification, a status timer and/or an idle timer value, a label and
the keyword 'cont'. Specifications are formated as:

keyword'='["]value["]

Valid keywords are:
filter, model, label, status and idle.

Filter specifications are standard ra* client filters. See ra.1 for a complete
description.

Model specifications are identical to the -m option support provided by racluster() on the
command line.

Labels are free form meta-data strings, that will be added to records that matched the
filter statement at this point in the fall through configureation.

Status and Idle timer values are specified in seconds and are usually not quoted, although
they can be.

Argus record flow descriptors are compared to the filter that matches statements in
sequential, or "fall through", order, much like existing Access Control List definitions
supported by routers, switches and firewalls. These filters are conventional ra* filter
statements, with the maxiumum length being 1024 chars.

The model statement is used to modify the flow description of matching Argus records.
Records are aggregated based on the modified flow descriptor that results from applying
the flow model, and are only merged with other records that also matched this filter,
which should eliminate problems with a independent

In each flow descriptor matching statement is a TimeOut period, which is how long the
aggregator will hold the flow cache before reporting it, and an IdleTimeOut period, which
is how long the aggregation process will hold the flow in its cache, if there is no
activity.

If a record doesn't match any statement in the configuration, then it is aggregated based
on its unmodified flow descriptor. This aggregates flow reports from the same long lived
flow. Generally, most configurations have a "catch all" filter to aggregate flows that
don't match any filter expression.

EXAMPLE

This configuration is not intended to do anything useful, it is designed for demonstration
purposes, only. With that said, lets get to it.

filter="icmp"
filter="arp" model="proto daddr"
filter="tcp or udp and dst port lt 1025" model="saddr daddr proto dport" status=120 label="reserved"
filter="tcp or udp" model="saddr daddr proto sport dport" status=120 idle=3600
grep="Video" model="saddr daddr proto dport" status=120 idle=3600
filter="" model="saddr daddr proto" status=0 idle=3600 label="other flows"

All records are first tested as 'icmp' flows, then 'arp' and then 'tcp or udp' flows. If
the records do not match these filters, they will match the 4th aggregation statement, as
it has a null filter, which matches everything.

If a record matches the 1st statement, it is aggregated using the default aggregation
model, which is the conventional 5 tuple flow model. For icmp, this includes the src and
destination addresses, the proto field and the icmp type and code values. Because there
is no status or idle timer values specified, the aggregator will merge records until EOF
is encountered on the input stream, and output the single record and its stats at the end
of the run.

If a record matches the 2nd statement, i.e. it is an arp flow, then the record flow
descriptor is modified so that the protocol (arp) and the requestors source address are
the only fields preserved. This would merge all the arp records requesting a specific IP
addresss, and is useful for reducing arp traffic in the output stream or file. The idea
is that you are interested in the response, not who made the request.

If a record matches the 3rd statement, i.e. it is a "tcp or udp" flow with the destination
port less than 1025, the flow model ignores the soure port value, and merges records that
match. The aggregator will generate a 120 second status report on the resulting flow, so
that when there is activity, the aggregator will generate output that doesn't exceed 120
seconds in duration. If the flow is idle for 3600 seconds, the aggregator will ´forget'
the flow, and release any resources it was using to track the flow.

This is a very popular service oriented aggregation strategy, as it preserves the client
address and the server address, along with the service port number, when its less than
1025, which are the Well Known Ports, or Reserved port number space.

All flows that match the 3rd statement are labeled, with the free form meta-data string,
"reserved" as these flows use the reserved port range. If there is already a lobel in the
flow record, the string is appeneded to the label, separated by a ':', unless the string
is already in the label.

If the flow is "udp or tcp" and the dst port is not less than 1025, then the flow will
match the 4th statement, and the aggregator will use the default flow model, generating
status records and timeing out.

The 5th statement, the "catch all" statement, specifies that the aggregator should
preserve only the source and destination addresses, and the protcol number. No status
records will be generated, but if it times out it will flush the record out. All flows
are labeled as "other".

This configuration strategy should provide support for any type of aggregation methodology
you can dream up, well at least most that you will want to use.

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