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Difference between revisions of "Top 10 2014-I5 Privacy Concerns"

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Minimizing privacy concerns requires:
 
Minimizing privacy concerns requires:
 
# Ensuring only data critical to the functionality of the device is collected
 
# Ensuring only data critical to the functionality of the device is collected
 +
# Ensuring that any data collected is of a less sensitive nature (i.e., try not to collect sensitive data)
 +
# Ensuring that any data collected is de-identified or anonymized
 
# Ensuring any data collected is properly protected with encryption
 
# Ensuring any data collected is properly protected with encryption
 
# Ensuring the device and all of its components properly protect personal information
 
# Ensuring the device and all of its components properly protect personal information
 
# Ensuring only authorized individuals have access to collected personal information
 
# Ensuring only authorized individuals have access to collected personal information
 +
# Ensuring that retention limits are set for collected data
 +
# Ensuring that end-users are provided with "Notice and Choice"if data collected is more than what would be expected from the product
  
 
Please review the following tabs for more detail based on whether you are a [https://www.owasp.org/index.php/OWASP_Internet_of_Things_Top_Ten_Project#tab=Manufacturers Manufacturer], [https://www.owasp.org/index.php/OWASP_Internet_of_Things_Top_Ten_Project#tab=Developers Developer] or [https://www.owasp.org/index.php/OWASP_Internet_of_Things_Top_Ten_Project#tab=Consumers Consumer]
 
Please review the following tabs for more detail based on whether you are a [https://www.owasp.org/index.php/OWASP_Internet_of_Things_Top_Ten_Project#tab=Manufacturers Manufacturer], [https://www.owasp.org/index.php/OWASP_Internet_of_Things_Top_Ten_Project#tab=Developers Developer] or [https://www.owasp.org/index.php/OWASP_Internet_of_Things_Top_Ten_Project#tab=Consumers Consumer]
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[https://www.owasp.org/index.php/Top_10_2013-A6-Sensitive_Data_Exposure Top 10 2013-A6-Sensitive Data Exposure]
 
[https://www.owasp.org/index.php/Top_10_2013-A6-Sensitive_Data_Exposure Top 10 2013-A6-Sensitive Data Exposure]
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{{Top_10_2010:SubSubsectionExternalReferencesTemplate}}
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{{Top_10_2010:SubSubsectionExternalReferencesTemplate}} <br>
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[https://www.ftc.gov/tips-advice/business-center/guidance/careful-connections-building-security-internet-things FTC: Careful Connections: Building Security in the Internet of Things]
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[https://www.ftc.gov/system/files/documents/reports/federal-trade-commission-staff-report-november-2013-workshop-entitled-internet-things-privacy/150127iotrpt.pdf FTC: Internet of Things, Privacy & Security in a Connected World]

Revision as of 21:07, 2 April 2015

Back To The Internet of Things Top 10
Threat Agents Attack Vectors Security Weakness Technical Impacts Business Impacts
Application Specific Exploitability
AVERAGE		 Prevalence
COMMON		 Detectability
EASY		 Impact
SEVERE		 Application / Business Specific
Consider anyone who has access to the device itself, the network the device is connected to, the mobile application and the cloud connection including external and internal users. Attacker uses multiple vectors such as insufficient authentication, lack of transport encryption or insecure network services to view personal data which is not being properly protected or is being collected unnecessarily. Attack could come from external or internal users. Privacy concerns generated by the collection of personal data in addition to the lack of proper protection of that data is prevalent. Privacy concerns are easy to discover by simply reviewing the data that is being collected as the user sets up and activates the device. Automated tools can also look for specific patterns of data that may indicate collection of personal data or other sensitive data. Collection of personal data along with a lack of protection of that data can lead to compromise of a user's personal data. Consider the business impact of personal data that is collected unnecessarily or isn't protected properly. Data could be stolen. Could your customers be harmed by having this personal data exposed?
Does My Device Present Privacy Concerns?

Checking for Privacy Concerns includes:

  • Identifying all data types that are being collected by the device, its mobile application and any cloud interfaces
  • The device and it's various components should only collect what is necessary to perform its function
  • Personally identifiable information can be exposed when not properly encrypted while at rest on storage mediums and during transit over networks
  • Reviewing who has access to personal information that is collected
How Do I Prevent Privacy Concerns?

Minimizing privacy concerns requires:

  1. Ensuring only data critical to the functionality of the device is collected
  2. Ensuring that any data collected is of a less sensitive nature (i.e., try not to collect sensitive data)
  3. Ensuring that any data collected is de-identified or anonymized
  4. Ensuring any data collected is properly protected with encryption
  5. Ensuring the device and all of its components properly protect personal information
  6. Ensuring only authorized individuals have access to collected personal information
  7. Ensuring that retention limits are set for collected data
  8. Ensuring that end-users are provided with "Notice and Choice"if data collected is more than what would be expected from the product

Please review the following tabs for more detail based on whether you are a Manufacturer, Developer or Consumer

Example Attack Scenarios

Scenario #1: Collection of personal data.

Date of birth, home address, phone number, etc.

Scenario #2: Collection of financial and/or health information.

Credit card data and bank account information.

In the cases above, exposure of any of the data examples could lead to identity theft or compromise of accounts.


References

OWASP

Top 10 2013-A6-Sensitive Data Exposure

External
FTC: Careful Connections: Building Security in the Internet of Things

FTC: Internet of Things, Privacy & Security in a Connected World
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