IoT / Client / list_violation_events
list_violation_events#
- IoT.Client.list_violation_events(**kwargs)#
Lists the Device Defender security profile violations discovered during the given time period. You can use filters to limit the results to those alerts issued for a particular security profile, behavior, or thing (device).
Requires permission to access the ListViolationEvents action.
See also: AWS API Documentation
Request Syntax
response = client.list_violation_events( startTime=datetime(2015, 1, 1), endTime=datetime(2015, 1, 1), thingName='string', securityProfileName='string', behaviorCriteriaType='STATIC'|'STATISTICAL'|'MACHINE_LEARNING', listSuppressedAlerts=True|False, verificationState='FALSE_POSITIVE'|'BENIGN_POSITIVE'|'TRUE_POSITIVE'|'UNKNOWN', nextToken='string', maxResults=123 )
- Parameters:
startTime (datetime) –
[REQUIRED]
The start time for the alerts to be listed.
endTime (datetime) –
[REQUIRED]
The end time for the alerts to be listed.
thingName (string) – A filter to limit results to those alerts caused by the specified thing.
securityProfileName (string) – A filter to limit results to those alerts generated by the specified security profile.
behaviorCriteriaType (string) – The criteria for a behavior.
listSuppressedAlerts (boolean) – A list of all suppressed alerts.
verificationState (string) – The verification state of the violation (detect alarm).
nextToken (string) – The token for the next set of results.
maxResults (integer) – The maximum number of results to return at one time.
- Return type:
dict
- Returns:
Response Syntax
{ 'violationEvents': [ { 'violationId': 'string', 'thingName': 'string', 'securityProfileName': 'string', 'behavior': { '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 }, 'metricValue': { 'count': 123, 'cidrs': [ 'string', ], 'ports': [ 123, ], 'number': 123.0, 'numbers': [ 123.0, ], 'strings': [ 'string', ] }, 'violationEventAdditionalInfo': { 'confidenceLevel': 'LOW'|'MEDIUM'|'HIGH' }, 'violationEventType': 'in-alarm'|'alarm-cleared'|'alarm-invalidated', 'verificationState': 'FALSE_POSITIVE'|'BENIGN_POSITIVE'|'TRUE_POSITIVE'|'UNKNOWN', 'verificationStateDescription': 'string', 'violationEventTime': datetime(2015, 1, 1) }, ], 'nextToken': 'string' }
Response Structure
(dict) –
violationEvents (list) –
The security profile violation alerts issued for this account during the given time period, potentially filtered by security profile, behavior violated, or thing (device) violating.
(dict) –
Information about a Device Defender security profile behavior violation.
violationId (string) –
The ID of the violation event.
thingName (string) –
The name of the thing responsible for the violation event.
securityProfileName (string) –
The name of the security profile whose behavior was violated.
behavior (dict) –
The behavior that was violated.
name (string) –
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) –
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) –
The sensitivity of anomalous behavior evaluation. Can be
Low
,Medium
, orHigh
.
suppressAlerts (boolean) –
Suppresses alerts.
metricValue (dict) –
The value of the metric (the measurement).
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) –
violationEventAdditionalInfo (dict) –
The details of a violation event.
confidenceLevel (string) –
The sensitivity of anomalous behavior evaluation. Can be
Low
,Medium
, orHigh
.
violationEventType (string) –
The type of violation event.
verificationState (string) –
The verification state of the violation (detect alarm).
verificationStateDescription (string) –
The description of the verification state of the violation.
violationEventTime (datetime) –
The time the violation event occurred.
nextToken (string) –
A token that can be used to retrieve the next set of results, or
null
if there are no additional results.
Exceptions
IoT.Client.exceptions.InvalidRequestException
IoT.Client.exceptions.ThrottlingException
IoT.Client.exceptions.InternalFailureException