1. State of the art – Part 1 Xin Jin
Multimedia Security
State of the art – Part 1
Xin Jin

2. OutLine
Emerging Cryptographic Challenges in Image And Video Processing –ICIP 2012
Real-time privacy-preserving moving object detection in the cloud. ACM MM 2013
An Efficient Image Homomorphic Encryption Scheme with Small Ciphertext Expansion ACM MM2013

3. Emerging Cryptographic Challenges in Image And Video Processing
System
Add-ons
Deeply
embedded
Attacker
Outside
Inside

4. Applications paid-for video services biometric systems ……
Secure Face Recognition
Secure Fingerprints Recognition ……

5. Applications

6. Challenges
The utility and limitations of cryptography are not very well known to the community, which hampers the widespread consideration of cryptographic solutions for security problems in image and video processing
Cryptographic operations are often computationally expensive. Efficient usage of cryptographic protocols is therefore imperative.
Certain cryptographic techniques cause iphertext expansion of two orders of magnitude, such as public-key encryption of image pixels. Efficient data packing strategies and operations are then needed.

7. 云计算 同态加密
Kuan-Yu Chu, Yin-Hsi Kuo, and Winston H. Hsu Real-time privacy-preserving moving object detection in the cloud. In Proceedings of the 21st ACM international conference on Multimedia (MM '13). ACM

8. 云计算 同态加密
With the advance of cloud computing, growing applications have been migrating to the cloud for its robustness and scalability. However, sending raw data to the cloud-based service providers will generally risk our privacy; especially for cloud-based surveillance system, where privacy is one of the major concerns as continuously recording daily life. Thus, privacy-preserving intelligent analytics are in dire needs. In this preliminary research, we investigate real-time privacy-preserving moving object detection in the encrypted cloud-based surveillance videos. Moving object detection is one of the core techniques and can further enable other applications (e.g., object tracking, action recognition, etc.). One possible approach is using homomorphic encryption which provides corresponding operations between unencrypted and encrypted data. However, homomorphic encryption is impractical in real case because of formidable computations and bulky storage consumption. In this paper, we propose an efficient and secure encryption framework, which entails real-time analytics (e.g., moving object detection) in encrypted video streams. Experiments confirm that the proposed method can achieve similar accuracy as detection on original raw frames.

9. An Efficient Image Homomorphic Encryption Scheme with Small Ciphertext Expansion
Secure signal processing (SSP), also referred to as signal processing in the encrypted domain (s.p.e.d.)
privacy-preserving face recognition
privacy-preserving fingercode authentication
privacy-preserving electrocardiogram (ECG) classification

10. An Efficient Image Homomorphic Encryption Scheme with Small Ciphertext Expansion
the homomorphic cryptosystems, are able to keep certain algebraic structures from the plaintext space to the ciphertext space.
Partially homomorphic cryptosystems keep the relation of addition or multiplication between plaintexts and ciphertexts, such
Fully homomorphic cryptosystems permit to compute additions and multiplications homomorphically, and therefore allows the computation of any polynomials in the encrypted domain.
Probabilistic cryptosystems, one can obtain different ciphertexts after different encryption procedures, no matter the input plaintexts are identical or not.

11. two data encryption methods widely used in the field of s.p.e.d..
Element-Wise Encryption Scheme
The Packing Method

12. New Direction- Xin Jin
Homomorphic Encryption based Privacy-preserving Image Processing in Encrypted Domain (with Cloud Computing)
Content based Image Retrieval in Encrypted Domain

13. KeyWords Homomorphic Encryption Privacy-preserving
Multimedia (Image/Video) Processing
Encrypted Domain
Cloud Computing
Big Data