Smart Fog-Based Video Surveillance with Privacy Preservation based on Blockchain

Security surveillance of home or office premises is usually performed by deploying a number of video cameras to continuously monitor the environment. Such monitoring has a potential to cause serious violation of privacy of individuals or individual rights as their movements are continuously observed. The existing centralised security systems can also be misused to collect the personal information for example the collected information could be used to launch cyber frauds using collected biometric identities. To address these issues, in this paper a distributed edge-fog node based video surveillance system is proposed for smart home environments for privacy preservation of individuals. The proposed system is event driven and resource efficient as it utilizes motion detection to detect intrusions and filters unnecessary data in the surveillance system. To meet users' privacy protection demands, a reversible blurring is performed on the privacy sensitive objects detected in the captured video stream. The proposed solution consumes less resources and provides better privacy preserving functionality. The system is coupled with a private Blockchain network that integrates into the surveillance system. This transformation of the surveillance system can be used to check and maintain integrity, management of blurring keys, and provide authorization rights to access video data.