Security and Privacy of Visual Data

1. Security and Privacy of Visual Data Maneesh Upmanyu, C. Narsimha RajuAnoop M. Namboodiri, K. Srinathan, C.V. Jawahar Center for Visual Information Technology; Center for Security, Theory & Algorithmic Research; IIIT- Hyderabad

2. Broad Objective • Development of secure computational algorithms in computer vision and related areas. • To develop • “Provably secure” solutions • “computationally efficient” solutions • solutions to problems with immediate impact Blind Vision (Avidan and Butman, ECCV 2006) raised and addressed the privacy concerns in vision.

3. Issues to be addressed • Efficiency: Encryption/Decryption is computationally expensive. Secure algorithms should be practical. • Domain Knowledge: Domain specific algorithms will be more efficient than generic solutions such as SMC, AES. • Security: Algorithms need to be provably-secure and meet futuristic requirements.

4. Research Directions • Video Protection using various Encryption Algorithms • Private Content Based Image Retrieval (PCBIR) • Blind Authentication: A Secure Crypto-Biometric Verification Protocol • Efficient Privacy Preserving Video Surveillance

5. Video Encryption • Video protection using encryption is an extremely useful method for the stopping unwanted interception and viewing of any transmitted video or other information. • Secure encryption algorithms designed to address this. We exploit the properties of the DCT coefficients and their influence on the visual content for designing this encryption scheme and their statistical behavior. • Proposed algorithm is secure and make video encryption possible for real-time video applications. Publication: C. Narsimha Raju, UmadeviGanugula, K. Srinathan and C.V. Jawahar; Fast and Secure Real-time Video Encryption in Proceedings of the 6th Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP-09)

6. Private Content Based Image Retrieval (PCBIR) • Problem setting: Alice has query image (I), Bob maintains a image-database server. Alice wants to retrieve similar images without revealing (I) to Bob. • Secure algorithms designed to address this. Exploits the clustered nature of image databases to reduce the amount of communication required in SMC • Proposed algorithms are completely private and feasible for extremely large datasets • Publication: Shashank J, Kowshik P, KannanSrinathan and C.V. Jawahar; Private Content Based Image Retrieval; Computer Vision and Pattern Recognition(CVPR 2008)

7. Blind Authentication: A Secure Crypto-Biometric Verification Protocol • First ever solution to completely address the concerns of user’s privacy, template protection, and trust issues in biometric authentication systems • Problem setting: Alice wants to create an account in Bob-mail, that requires biometrics based authentication. However, she neither trusts Bob to handle her biometric data securely, nor trusts the network to send her plain biometric • Captures advantages of biometrics as well as security of public key cryptography • Publication: ManeeshUpmanyu, Anoop M. Namboodiri, K. Srinathan and C.V. Jawahar; Efficient Biometric Verification in Encrypted Domain: In Proceedings of the 3rd International Conference on Biometrics (ICB 2009)

8. EfficientPrivacyPreservingVideoSurveillance • Problem Setting: Alice wants to have her office environment under surveillance by Bob. If Alice wants to track a person Jack, then Bob should have access to track Jack and no one else. • Utilize some of the inherent properties of image data to enable efficient and provably secure surveillance algorithms • Provably secure, real-time detection and tracking of people • Publication: ManeeshUpmanyu, Anoop M. Namboodiri, K. Srinathan and C.V. Jawahar; Efficient Privacy Preserving Video Surveillance. In Proceedings of the 12th International Conference on Computer Vision (ICCV 2009)

9. Results of Video Encryption

10. Example 1: Presentation