policy:
new=New Machine Learning
edit=Edit Anomaly Detection Configuration
id=ID
policy=Server Policy
domain_count=Domain Number
hmm_engine=HMM Engine
automatic_refresh_model=Automatic Refresh Model
hmm_setting=HMM Settings
hmm_evaluation_setting=HMM Parameter Model Update
automatic_refresh_model=Dynamically update when parameters change
box_notch_count=Update parameter model when number of boxplots do not overlap
anomaly_detection_setting=Anomaly Detection Settings
anomaly_detection_method=Anomaly Detection Method
automatic=Automatic
quantile=Quantile
quantile_potential=Strictness Level for Potential Anomaly
quantile_definitely=Strictness Level for Definite Anomaly
tolerance_potential=Strictness Level for Potential Anomaly
tolerance_definitely=Strictness Level for Anomaly
tolerance_definitely_unit=Standard Deviation
model_min_learn_time=Sample Collection Period
model_min_learn_time_unit=Weeks
refresh_model_type=Parameter Update Method
trigger_action_setting=Action Settings
action_protential=Action for Potential Anomaly
action_definitely=Action for Definite Anomaly
action_page_method=Action for HTTP Method Violation
training_sample_collecting_setting=Training Sample Collecting Settings
allow_domain=Allow sample collection for Domains
source_ip_list=Source IP list
ip_list_type=IP List Type
trust=Trust
black=Black
div_source_ip_list_tip=Define whether to restrict learning or to not learn from certain IP/Range. Leave empty to learn from all sources.
err_box_notch_count= is an invalid value.\nBox Notch Count must be in 1~3.
err_tolerance_potential= is an invalid value.\Strictness Level for Potential Anomaly must be in 0.0~1.0.
err_tolerance_definitely= is an invalid value.\Strictness Level for Anomaly must be in 1~10.
err_model_min_learn_time= is an invalid value.\Sample Collection Period must be in 1~8.
err_tolerance=Strictness Level for Potential Anomaly must be greater than Strictness Level for Definite Anomaly.
err_quantile_potential= is an invalid value.\nStrictness Level for Potential Anomaly must be in 0.0~1.0.
err_quantile_definitely= is an invalid value.\nStrictness Level for Definite Anomaly must be in 0.0~1.0.
err_quantile=Strictness Level for Potential Anomaly must be greater than Strictness Level for Definite Anomaly.
alert=Alert
alert_deny=Alert & Deny
block_period=Block Period
period_block=Period Block
domain=Domain
ip_range=IP Range
ip_range_tip=(e.g. 1.2.3.4-1.2.3.40, 2001::1-2001::100)
domain_name=Domain Name
domain_name_hint=Add full domain name or use wildcard '*' to cover multiple domains under one profile.
domain_index=Domain Index
view_domain=View Domain
view_domain_data=View Domain Data
rbtn_url=< Back
access_heat=Access Frequency
start_time=Start Time
url_number=URL Number
alert_block=Action(Alert/Block)
service=Service(HTTP/HTTPS)
page_charset=Page Charset
ml_events=Machine Learning Events
top10=Top 10 URLs by Hit
traffic_trend=HTTP/HTTPS Traffic Trend
hmm_chart=HMM Learning Progress
event_trend=Violations triggered by anomalies
allow_method_chart=Allow Method Learning Progress
method_trend=Allow Method Violation Trend
ua_stat_collecting=Collecting
ua_stat_building=Building
ua_stat_testing=Testing
ua_stat_running=Running
ua_stat_discarded=Discarded
am_stat_learn=Learning
am_stat_finish=Finished
http_requests=HTTP Requests
ssl_requests=HTTPS Requests
potential_anomalies=Potential Anomaly
definitly_anomalies=Anomaly
alert_requests=Alert
block_requests=Block
detecting=Detecting
default=Default
http_method_violation=HTTP Method Violation
refresh_domain_tip=Rebuild will delete all existing learning. Are you sure you want to rebuild this domain?
param_name=Parameter Name
hmm_stage=HMM Learning Stage
boxplot=Boxplot Evaluation
anomaly_detection_settings=Anomaly Detection Settings
inherite_settings=Inherit global settings
specific_settings=Custom settings
potential_t=Strictness Level for Potential Anomaly
definitely_t=Strictness Level for Anomaly
abnormal_arguments=Abnormal Arguments
value=Values
operations=Operations
refresh=Refresh
discard=Discard
normal=Normal
speedy=Fast
anomaly=Anomaly
web_attack_validation=Threat Model
xss_model=Well-trained Mathematical Model for Cross-site Scripting
xss_model_detail=Well-trained Support Vector Machine model with linear type kernel function for Cross-site Scripting attack.
sql_model=Well-trained Mathematical Model for SQL Injection
sql_model_detail=Well-trained Support Vector Machine model with linear type kernel function for SQL Injection attack.
commandi_model=Well-trained Mathematical Model for Command Injection
commandi_model_detail=Well-trained Support Vector Machine model with sigmoid type kernel function for Command Injection attack.
lfi_rfi_model=Well-trained Mathematical Model for Local File Inclusion/Remote File Inclusion
lfi_rfi_model_detail=Well-trained Support Vector Machine model with radial basis type kernel function for Local File Inclusion/Remote File Inclusion attack.
codei_model=Well-trained Mathematical Model for Code Injection
codei_model_detail=Well-trained Support Vector Machine mode with sigmoid type kernel function for Code Injection attack.
commoni_model=Well-trained Mathematical Model for Common Injection
commoni_model_detail=Well-trained Support Vector Machine model with polynomial type kernel function for Common Injection attack.
remote_ex_model=Well-trained Mathematical Model for Remote Exploits
remote_ex_model_detail=Well-trained Support Vector Machine model with polynomial type kernel function for Remote Exploits attack.
ssi_model=Well-trained Mathematical Model for Server-Side Includes Injection
ssi_model_detail=Well-trained Support Vector Machine model with sigmoid type kernel function for Server-Side Includes Injection attack.
format_str_model=Well-trained Mathematical Model for Format String Attack
format_str_model_detail=Well-trained Support Vector Machine model with sigmoid type kernel function for Format String Attack.
view_threat_models=View Threat Models
set_attack_vali_failed=Set threat models failed.
enable_vali_first=Please enable threat model first.
app_change_sensitivity=Application Change Sensitivity
low=Low
medium=Medium
high=High
info=Informative
hmm_evaluation_setting_tip=FortiWeb updates automatically when the application changes by comparing boxplots over time. Choose how sensitive FortiWeb will be to application changes.
anomaly_detection_setting_tip=Choose a threshold level (1-10) to detect anomalies. The higher the threshold the less anomalies triggered.
web_attack_vali_setting_tip=Scan anomalies to verify whether they are attacks.
trigger_action_setting_tip=All requests are scanned first by HMM and then by Threat model. Choose action when attack is verified.
action_replace_templates=URL Replacer Policy
select=Please Select
status=Status
running=Running
stopped=Stopped
err_domain=Domain names can only contain letters, numbers, '.', '-' and '*' !
rebuild=Rebuild
relearn=Relearn
block_period_potential=Block Period for Potential Anomaly
severity_potential=Log Severity for Potential Anomaly
trigger_potential=Trigger Policy for Potential Anomaly
block_period_definite=Block Period for Definite Anomaly
severity_definite=Log Severity for Definite Anomaly
trigger_definite=Trigger Policy for Definite Anomaly
block_period_method=Block Period for HTTP Method Violation
severity_method=Log Severity for HTTP Method Violation
trigger_method=Trigger Policy for HTTP Method Violation
err_block_period=is not a valid Block Period. Please input a number between 1 and 3600.
import=Import
export=Export
import_file=Please choose Anomaly Detection data file to import
err_import_file=Import File must be selected.
err_import=Failed to import this file.
import_dialog=Importing Anomaly Detection Data
export_dialog=Exporting Anomaly Detection Data
import_success=Successfully imported Anomaly Detection data
export_success=Successfully exported Anomaly Detection data
sample_collecting_mode=Sample Collection mode
sample_collecting_mode_tip=If 'Fast' is chosen fewer samples are collected during the learning phase.
potential_anomaly=Potential Anomaly
definite_anomaly=Anomaly Detection
method_violation=HTTP Method Violation
trigger_policy=Trigger Action
name=Name
http_method_setting=HTTP Method Setting
http_method=HTTP Method
http_method_setting_tip=If disabled, machine learning will not learn and verify the http method.
learning_cycle_setting=Learning Cycle

wizard:
wizard_prev=Back
wizard_next=Next
wizard_done=Create
cancel=Cancel
ml_create=New Machine Learning
ml_wizard=Machine Learning Wizard
hmm_settings=HMM Settings
training_sample_settings=Training Sample Collecting Settings
hmm_evaluation_settings=HMM Parameter Model Update
anomaly_detection_settings=Anomaly Detection Settings
attack_validation_settings=Threat Model Settings
trigger_action_settings=Trigger Action Settings
hmm_engine=HMM Engine
enable=Enable
disable=Disable
allow_sample_domains=Allow sample collection for domains:
allow_sample_ip=Limit sample collection from IPs:
domain=Domain
source_ip=IP Range
ip_range_tip=(e.g. 1.2.3.4-1.2.3.40, 2001::1-2001::100)
auto_refresh=Dynamically update when parameters change
refresh_condition=Update parameter model when number of boxplots do not overlap
detection_method=Anomaly Detection Method
automatic=Automatic
quantile=Quantile
t_potential=Strictness Level for Potential Anomaly
t_definite=Strictness Level for Definite Anomaly
q_potential=Strictness Level for Potential Anomaly
q_definite=Strictness Level for Definite Anomaly
action_potential=Action for Potential Anomaly
action_definite=Action for Definite Anomaly
action_http=Action for HTTP Method Violation
alert=Alert
deny=Deny
svm_description=Threat Model uses a well-trained SVM (Support Vector Machine) model to identify whether anomalies flagged by the HMM model are actual attacks.
attack_validation=Threat Model
action_potential_detail=When Web Attack Validation matched take action:
action_definite_detail=When Web Attack Validation matched take action:
err_box_notch_count=The count of boxes must be an integer in 1~3.
err_tolerance_potential=Strictness Level for Potential Anomaly must be in 0.0~1.0.
err_tolerance_definitely=Strictness Level for Anomaly must be in 1~10.
err_quantile_potential=Strictness Level for Potential Anomaly must be in 0.0~1.0.
err_quantile_definitely=Strictness Level for Definite Anomaly must be in 0.0~1.0.
err_quantile=Strictness Level for Potential Anomaly must be greater than Strictness Level for Definite Anomaly.
err_float_accuracy_t_potential=Please input a valid value for Strictness Level for Potential Anomaly. The tow nearest value is ceil(
err_float_accuracy_t_definite=Please input a valid value for Strictness Level for Definite Anomaly. The tow nearest value is ceil(
err_float_accuracy_q_potential=Please input a valid value for Strictness Level for Potential Anomaly. The tow nearest value is ceil(
err_float_accuracy_q_definite=Please input a valid value for Strictness Level for Definite Anomaly. The tow nearest value is ceil(
err_float_accuracy_body=), floor(
err_float_accuracy_tail=).
app_change_sensitivity=Application Change Sensitivity
low=Low
medium=Medium
high=High
source_ip_list=Source IP list
ip_list_type=IP List Type
trust=Trust
black=Black
tip_http2=Bot Detection doesn't support HTTP2 traffic.

report: 
access_heat=Access Frequency
train_start_time=Model initialization Date
action=Action(Alert/Block)
alert=Alert
block=Block
potential=Potential Anomaly
definitely=Anomaly
parameters=Parameters
allow_method=Allow Method
name=Parameter Name
learning_stage=HMM Learning Stage
required_time=Required Collecting Time
required_samples=Required Samples
left_samples=Left Samples
left_times=Left Connecting Time
details=HMM Details
finished=Finished
learning=Learning
am_learning_stage=Allow Method Learning Stage:
am_adjust=Method Allowance Adjustments:
am_settings=Allow Method Settings
by_mlearning=By Machine Learning
customized=Customized
traffic_trend=Violation Trend
anomaly_event_statistics=Triggered Violations
anomaly_event_statistics_2=Based on Anomaly Type
collecting=Collecting
finish=Finish
build_finish=Build Finish
building=Building
testing=Testing
running=Running
discarded=Discarded
refresh=Refresh
apply=Apply
back=Back
error_msg_get_am=Get allow method data failed.
error_msg_set_am=Set allow method failed.
set_am_success=Set allow method success.
confirm_refresh_url=Rebuild URL will delete all existing learning. Are you sure you want to rebuild this url?
confirm_refresh_dir=Rebuild Directory will delete all existing learning. Are you sure you want to rebuild this directory?
confirm_refresh_arg=Rebuild Parameter will delete all existing learning. Are you sure you want to rebuild this argument?
confirm_relearn_url=Relearn URL will switch the model to collecting status to collect more samples. Are you sure you want to relearn this url?
confirm_relearn_dir=Relearn Directory will switch the model to collecting status to collect more samples. Are you sure you want to relearn this directory?
confirm_relearn_arg=Relearn Parameter will switch the model to collecting status to collect more samples. Are you sure you want to relearn this argument?
confirm_discard_arg=Are you sure you want to discard this argument?
boxplot=Boxplot Evaluation
anomaly_detection_settings=Anomaly Detection Settings
inherite_settings=Inherit global settings
specific_settings=Custom settings
potential_t=Strictness Level for Potential Anomaly
definitely_t=Strictness Level for Anomaly
tolerance_definitely_unit=Standard Deviation
potential_q=Strictness Level for Potential Anomaly
definitely_q=Strictness Level for Definite Anomaly
abnormal_arguments=Abnormal Arguments
id=ID
value=Values
operations=Operations
refresh=Refresh
discard=Discard
normal=Normal
anomaly=Anomaly
type=Anomalies Triggered by Type
box_plot_title=Probability Boxplots
box_plot_description=Boxplots are used to evaluate whether a parameter has changed.
scatter_title=Distribution of Anomalies triggered by HMM
ml_sd_title=Anomaly Strictness Level Details
sample_length=Sample Length
sample_probability=Sample Probability
err_box_notch_count=The count of boxes must be an integer in 1~3.
err_tolerance_potential= Strictness Level for Potential Anomaly must be in 0.0~1.0.
err_tolerance_definitely= Strictness Level for Anomaly must be in 1~10.
err_quantile_potential= Strictness Level for Potential Anomaly must be in 0.0~1.0.
err_quantile_definitely= Strictness Level for Definite Anomaly must be in 0.0~1.0.
err_quantile=Strictness Level for Potential Anomaly must be greater than Strictness Level for Definite Anomaly.
err_float_accuracy_t_potential=Please input a valid value for Strictness Level for Potential Anomaly. The tow nearest value is ceil(
err_float_accuracy_t_definite=Please input a valid value for Strictness Level for Definite Anomaly. The tow nearest value is ceil(
err_float_accuracy_q_potential=Please input a valid value for Strictness Level for Potential Anomaly. The tow nearest value is ceil(
err_float_accuracy_q_definite=Please input a valid value for Strictness Level for Definite Anomaly. The tow nearest value is ceil(
err_float_accuracy_body=), floor(
err_float_accuracy_tail=).
past_24_hours=Past 24 hours
import_file=Import File
password=Password
confirm_password=Confirm Password
import=Import
export=Export
cancel=Cancel
import_dialog=Import Dialog
export_dialog=Export Dialog
err_import_file=The Import File must be selected.
err_import_password=The Import Password must be input.
err_export_password=The password entries do not match.
err_export=Failed to export this argument data.
err_import=Failed to import this file.
err_empty_password=Please enter a password.
success_import=Import successfully.
success=Operation successful.
no_access_record=No records available.
domain=Domain
no_entries=No matching entries found
error_msg_empty=You must select at least one allow method.
boxplots_replacer=Boxplot chart will be available when the parameter status is in Testing or Running mode.
distribution_replacer=Anomaly distribution data will be available when the parameter status is in Testing or Running mode.
rebuild_url=Rebuild URL
rebuild_arg=Rebuild Parameter
relearn_url=Relearn URL
relearn_arg=Relearn Parameter
anomaly_samples=Anomaly Samples
additional_samples=Additional Samples
noisy_samples=Noisy Samples
historical_learning_events=Events
time=Time
detail=Detail
ip_addr=IP Address
percent=Percent
sample_source_top10=Top 10 Source IPs
view_hmm_detail=View HMM Details
rebuild_directory=Rebuild Directory
relearn_directory=Relearn Directory
urlsWithParam=URLs with parameters
Add Filter=Add Filter
filter_remove=Remove Filter
refresh_method=Rebuild Method
confirm_refresh_method=Rebuild Method will delete all exsiting method learning. Are you sure you want to rebuild this method learning stage?
manual=Manual
days=Days
hours=Hours
minutes=Minutes
collected_samples=Collected Samples
test_sample_dialog=Test Sample
sample=Sample:
test=Test Sample
probability=Probability:
detection_result=Detection result:
test_normal=Normal
test_abnormal=Anomaly
err_empty_sample=The sample can not be empty.
err_test_sample=Test failed.
detectionSetting_description=Change Strictness Level to view impact on samples. Use Test Sample to check probability.
rebuild=Rebuild
relearn=Relearn

bot_status:
detection=Model Detection
status=Model Status
operation=Operation
selected_model=Selected Model
model_information=Model Information
model_statistics=Model Statistics
training_set=Training Set
test_set=Test Set
loose=Moderate
strict=Strict
rebuild=Rebuild
refresh=Refresh
rebuild_confirm=Rebuild operation will build new models with the current model settings and collected samples. Please confirm.
refresh_confirm=Refresh operation will remove all the collected samples and existing models and re-learn to generate models. Please confirm.
loose_model=Moderate Model
strict_model=Strict Model
training_accuracy=Training Accuracy
testing_accuracy=Testing Accuracy
cross_validation=Cross Validation
ml_events=Machine Learning Events
chart_model_comparison=Model Comparison
chart_anomaly_trend=Anomaly Trend
chart_traning_accuracy=Training Accuracy
chart_test_accuracy=Testing Accuracy
chart_cross_validation=Cross Validation
chart_confirmed_anomaly_trend=Confirmed Bots
chart_traffic_anomaly_trend=Anomaly Trend
chart_traffic_total_trend=Traffic Trend
chart_regular=Regular
chart_anomaly=Anomaly
status_none=None
status_collecting=Collecting
status_building=Building
status_testing=Testing
status_running=Ready
status_failure=Failure
status_Deleting=Deleting
