PRIVACY AGAINST INFERENCE ATTACKS UNDER MISMATCHED PRIOR

• US 20160006700A1
• Filed: 02/06/2014
• Published: 01/07/2016
• Est. Priority Date: 02/08/2013
• Status: Abandoned Application

• Current Assignee: Thomson Licensing (Vantiva SA)
• Original Assignee: Thomson Licensing (Vantiva SA)
• Inventors: SALAMATIAN, Salman, CALMON, Flavio Du Pin, BHAMIDIPATI, Subrahmanya Sandilya, OLIVEIRA, Pedro Carvalho, TAFT, Nina Anne, KVETON, Branislav, FAWAZ, NADIA
• Application Number:
  US14/765,603
• Publication Number:
  US 20160006700A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/285 Clustering or classification
• CPC Class Codes: G06F 21/60 Protecting data
• CPC Class Codes: G06F 21/6254 by anonymising data, e.g. decorrelating personal data from the owner's identification
• CPC Class Codes: G06N 7/01 Probabilistic graphical models, e.g. probabilistic networks
• CPC Class Codes: H04L 63/04 for providing a confidential data exchange among entities communicating through data packet networks
• CPC Class Codes: H04L 63/0407 wherein the identity of one or more communicating identities is hidden cryptographic mechanisms or cryptographic arrangements for anonymous credentials or for identity based cryptographic systems H04L9/00
• CPC Class Codes: H04L 63/1441 Countermeasures against malicious traffic countermeasures against attacks on cryptographic mechanisms H04L9/002
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04W 12/02 Protecting privacy or anonymity, e.g. protecting personally identifiable information [PII]

Abstract

A methodology to protect private data when a user wishes to publicly release some data about himself, which is can be correlated with his private data. Specifically, the method and apparatus teach comparing public data with survey data having public data and associated private data. A joint probability distribution is performed to predict a private data wherein said prediction has a certain probability. At least one of said public data is altered or deleted in response to said probability exceeding a predetermined threshold.

Claims

1. A method for processing a user data comprising the steps of:

accessing said user data wherein said user data consists of a public data;

comparing said user data to a survey data;

determining a probability of a private data in response to said comparison; and

altering said public data to generate an altered data in response to said probability having a value higher than a predetermined threshold.

2. The method of claim 1 wherein said altering consists of deleting said public data.

3. The method of claim 1 further comprising the step of transmitting said altered data via a network.

4. The method of claim 3 further comprising the step of receiving a recommendation in response to said transmission of said altered data.

5. The method of claim 1 wherein said user data comprises a plurality of public data.

6. The method of claim 1 wherein said determining said probability of a private data is made in response to a joint probability distribution between said public data and said survey data.

7. The method of claim 1 wherein said survey data consists of a public survey data and private survey data.

8. A method of protecting a user private data comprising the steps of:

collecting a plurality of user public data associated with a user;

comparing said plurality of public data to a plurality of public survey data wherein said public survey data is associated with a plurality of private survey data;

determining a probability of said user private data in response to said comparison, wherein the probability of said user private data being accurate exceeds a threshold value;

altering at least one of said plurality of user public data to generate a plurality of altered user public data;

comparing said plurality of altered user public data to said plurality of public survey data; and

determining said probability of said user private data in response to said comparison of said plurality of altered public data and said plurality of public survey data, wherein the probability of said user private data is below said threshold value.

9. The method of claim 8 wherein said altering consists of deleting at least one of said plurality of user public data.

10. The method of claim 8 further comprising the step of transmitting said plurality of altered public data via a network.

11. The method of claim 10 further comprising the step of receiving a recommendation in response to said transmission of said plurality of altered public data.

12. The method of claim 8 wherein said plurality of user public data associated with a user is associated with a plurality of private user data.

13. The method of claim 8 wherein said determining a probability of said user private data is made in response to a joint probability distribution between said plurality of user public data and said plurality of public survey data.

14. The method of claim 8 further comprising the step of transmitting a request to a user wherein said requests requests a permission to alter at least one of said plurality of user public data, and wherein said at least one of said plurality of user public data is not altered in response to not receiving said permission to alter.

15. An apparatus for processing a user data comprising:

a memory for storing said user data wherein said user data consists of a public data;

a processor for comparing said user data to a survey data, for determining a probability of a private data in response to said comparison, and for altering said public data to generate an altered data in response to said probability having a value higher than a predetermined threshold; and

a network interface for transmitting said altered data.

16. The apparatus of claim 15 wherein said altering consists of deleting said public data from said memory.

17. The apparatus of claim 15 wherein said network interface is further operative to receive a recommendation in response to said transmission of said altered data.

18. The apparatus of claim 15 wherein said user data comprises a plurality of public data.

19. The apparatus of claim 15 wherein said determining said probability of a private data is made in response to a joint probability distribution between said public data and said survey data.

20. The apparatus of claim 15 wherein said survey data consists of a public survey data and private survey data.

21. (canceled)