IoT / Client / validate_security_profile_behaviors
validate_security_profile_behaviors#
- IoT.Client.validate_security_profile_behaviors(**kwargs)#
Validates a Device Defender security profile behaviors specification.
Requires permission to access the ValidateSecurityProfileBehaviors action.
See also: AWS API Documentation
Request Syntax
response = client.validate_security_profile_behaviors( behaviors=[ { 'name': 'string', 'metric': 'string', 'metricDimension': { 'dimensionName': 'string', 'operator': 'IN'|'NOT_IN' }, 'criteria': { 'comparisonOperator': 'less-than'|'less-than-equals'|'greater-than'|'greater-than-equals'|'in-cidr-set'|'not-in-cidr-set'|'in-port-set'|'not-in-port-set'|'in-set'|'not-in-set', 'value': { 'count': 123, 'cidrs': [ 'string', ], 'ports': [ 123, ], 'number': 123.0, 'numbers': [ 123.0, ], 'strings': [ 'string', ] }, 'durationSeconds': 123, 'consecutiveDatapointsToAlarm': 123, 'consecutiveDatapointsToClear': 123, 'statisticalThreshold': { 'statistic': 'string' }, 'mlDetectionConfig': { 'confidenceLevel': 'LOW'|'MEDIUM'|'HIGH' } }, 'suppressAlerts': True|False, 'exportMetric': True|False }, ] )
- Parameters:
behaviors (list) –
[REQUIRED]
Specifies the behaviors that, when violated by a device (thing), cause an alert.
(dict) –
A Device Defender security profile behavior.
name (string) – [REQUIRED]
The name you’ve given to the behavior.
metric (string) –
What is measured by the behavior.
metricDimension (dict) –
The dimension for a metric in your behavior. For example, using a
TOPIC_FILTER
dimension, you can narrow down the scope of the metric to only MQTT topics where the name matches the pattern specified in the dimension. This can’t be used with custom metrics.dimensionName (string) – [REQUIRED]
A unique identifier for the dimension.
operator (string) –
Defines how the
dimensionValues
of a dimension are interpreted. For example, for dimension type TOPIC_FILTER, theIN
operator, a message will be counted only if its topic matches one of the topic filters. WithNOT_IN
operator, a message will be counted only if it doesn’t match any of the topic filters. The operator is optional: if it’s not provided (isnull
), it will be interpreted asIN
.
criteria (dict) –
The criteria that determine if a device is behaving normally in regard to the
metric
.Note
In the IoT console, you can choose to be sent an alert through Amazon SNS when IoT Device Defender detects that a device is behaving anomalously.
comparisonOperator (string) –
The operator that relates the thing measured (
metric
) to the criteria (containing avalue
orstatisticalThreshold
). Valid operators include:string-list
:in-set
andnot-in-set
number-list
:in-set
andnot-in-set
ip-address-list
:in-cidr-set
andnot-in-cidr-set
number
:less-than
,less-than-equals
,greater-than
, andgreater-than-equals
value (dict) –
The value to be compared with the
metric
.count (integer) –
If the
comparisonOperator
calls for a numeric value, use this to specify that numeric value to be compared with themetric
.cidrs (list) –
If the
comparisonOperator
calls for a set of CIDRs, use this to specify that set to be compared with themetric
.(string) –
ports (list) –
If the
comparisonOperator
calls for a set of ports, use this to specify that set to be compared with themetric
.(integer) –
number (float) –
The numeral value of a metric.
numbers (list) –
The numeral values of a metric.
(float) –
strings (list) –
The string values of a metric.
(string) –
durationSeconds (integer) –
Use this to specify the time duration over which the behavior is evaluated, for those criteria that have a time dimension (for example,
NUM_MESSAGES_SENT
). For astatisticalThreshhold
metric comparison, measurements from all devices are accumulated over this time duration before being used to calculate percentiles, and later, measurements from an individual device are also accumulated over this time duration before being given a percentile rank. Cannot be used with list-based metric datatypes.consecutiveDatapointsToAlarm (integer) –
If a device is in violation of the behavior for the specified number of consecutive datapoints, an alarm occurs. If not specified, the default is 1.
consecutiveDatapointsToClear (integer) –
If an alarm has occurred and the offending device is no longer in violation of the behavior for the specified number of consecutive datapoints, the alarm is cleared. If not specified, the default is 1.
statisticalThreshold (dict) –
A statistical ranking (percentile)that indicates a threshold value by which a behavior is determined to be in compliance or in violation of the behavior.
statistic (string) –
The percentile that resolves to a threshold value by which compliance with a behavior is determined. Metrics are collected over the specified period (
durationSeconds
) from all reporting devices in your account and statistical ranks are calculated. Then, the measurements from a device are collected over the same period. If the accumulated measurements from the device fall above or below (comparisonOperator
) the value associated with the percentile specified, then the device is considered to be in compliance with the behavior, otherwise a violation occurs.
mlDetectionConfig (dict) –
The configuration of an ML Detect
confidenceLevel (string) – [REQUIRED]
The sensitivity of anomalous behavior evaluation. Can be
Low
,Medium
, orHigh
.
suppressAlerts (boolean) –
Suppresses alerts.
exportMetric (boolean) –
Value indicates exporting metrics related to the behavior when it is true.
- Return type:
dict
- Returns:
Response Syntax
{ 'valid': True|False, 'validationErrors': [ { 'errorMessage': 'string' }, ] }
Response Structure
(dict) –
valid (boolean) –
True if the behaviors were valid.
validationErrors (list) –
The list of any errors found in the behaviors.
(dict) –
Information about an error found in a behavior specification.
errorMessage (string) –
The description of an error found in the behaviors.
Exceptions