Secure privacy vault design for distributed multimedia surveillance system

Distributed multimedia surveillance systems utilize heterogeneous sensors such as cameras, motion sensors, sound sensors, and RFID in order to provide safety and security to people. However, due to the potential of exposing privacy by these systems, many people are reluctant to be electronically monitored and suffer from privacy loss. In order to overcome this dilemma, the current surveillance systems should adopt improved privacy preservation (i.e. hiding people's face) mechanism while they are used for typical surveillance tasks. This paper takes a holistic approach to identify the different privacy leakage channels in the distributed video surveillance context and proposes the design of a secure privacy vault to conceal privacy-sensitive data obtained from distributed visual sensors. It also shows how the proposed solution helps to mitigate the potential privacy leakage problems at different levels of the leakage channels. In order to demonstrate the viability of the proposed approach, we further provide the privacy leakage attack model as well as the security analysis of the proposed solution. Identification of privacy leakage channels by means of privacy leakage trees.A secure privacy vault design for distributed surveillance system.Robust against different security and privacy attacks.Different attack models (White-box, Gray-box, or Black-box) have been considered.

[1]  Tom St. Denis Fast Pseudo-Hadamard Transforms , 2004, IACR Cryptol. ePrint Arch..

[2]  Jie Shen,et al.  Security for Video Surveillance with Privacy , 2010, 2010 International Conference on Internet Technology and Applications.

[3]  Svetha Venkatesh,et al.  Dynamic Privacy in Public Surveillance , 2009, Computer.

[4]  Wesley De Neve,et al.  Privacy Protection in Video Surveillance Systems Using Scalable Video Coding , 2009, 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance.

[5]  H. T. Mouftah,et al.  Chaos-cryptography based privacy preservation technique for video surveillance , 2011, Multimedia Systems.

[6]  Isabel Martinez-Ponte,et al.  ROBUST HUMAN FACE HIDING ENSURING PRIVACY , 2004 .

[7]  Christian Damsgaard Jensen,et al.  Security and Privacy in Video Surveillance: Requirements and Challenges , 2014, SEC.

[8]  Alexander Pretschner,et al.  Enforcing privacy through usage-controlled video surveillance , 2013, 2013 10th IEEE International Conference on Advanced Video and Signal Based Surveillance.

[9]  Touradj Ebrahimi,et al.  Scrambling for Privacy Protection in Video Surveillance Systems , 2008, IEEE Transactions on Circuits and Systems for Video Technology.

[10]  Rainer Lienhart,et al.  An extended set of Haar-like features for rapid object detection , 2002, Proceedings. International Conference on Image Processing.

[11]  Minghua Chen,et al.  Hiding privacy information in video surveillance system , 2005, IEEE International Conference on Image Processing 2005.

[12]  N. Ahmed,et al.  Discrete Cosine Transform , 1996 .

[13]  Touradj Ebrahimi,et al.  A framework for the validation of privacy protection solutions in video surveillance , 2010, 2010 IEEE International Conference on Multimedia and Expo.

[14]  Marc Chaumont,et al.  Face Protection by Fast Selective Encryption in a Video , 2006 .

[15]  Sabrina De Capitani di Vimercati,et al.  Access Control , 2014, Computing Handbook, 3rd ed..

[16]  Hari Kalva,et al.  Compression Independent Reversible Encryption for Privacy in Video Surveillance , 2009, EURASIP J. Inf. Secur..

[17]  Mohan S. Kankanhalli,et al.  W3-privacy: understanding what, when, and where inference channels in multi-camera surveillance video , 2012, Multimedia Tools and Applications.

[18]  Ahmed H. Tewfik,et al.  Data hiding for video-in-video , 1997, Proceedings of International Conference on Image Processing.

[19]  Jianping Fan,et al.  Access control, confidentiality and privacy for video surveillance databases , 2006, SACMAT '06.

[20]  Sharath Pankanti,et al.  Blinkering Surveillance: Enabling Video Privacy through Computer Vision , 2004 .

[21]  James A. Muir,et al.  A Tutorial on White-box AES , 2013, IACR Cryptol. ePrint Arch..

[22]  M. Anwar Hossain,et al.  Towards Privacy Preserving Multimedia Surveillance System: A Secure Privacy Vault Design , 2013, 2013 International Symposium on Biometrics and Security Technologies.

[23]  Svetha Venkatesh,et al.  Dynamic privacy assessment in a smart house environment using multimodal sensing , 2008, TOMCCAP.

[24]  Rong Yan,et al.  Tools for Protecting the Privacy of Specific Individuals in Video , 2007, EURASIP J. Adv. Signal Process..