With the development of web and digital products, camera devices including surveillance and digital cameras are widely used. However, there are public concerns on the confidentiality and security in data storage. There are multiple cases of stealth involving multimedia data stored online which are then distributed with malicious intention, which raise the public's awareness of privacy and how personal information is being stored and used. While privacy is important, surveillance cameras can help us monitor, providing social security or proofs for legal judgement. Thus, the ways to monitor and also preserve the privacy in real-time systems are the foci of our research in this field, most notably image encryption and digital rights management.
Data storage such as cloud storage provides convenience to users by allowing access to personal data anywhere without the need for removable storage, decreasing the risk of obtaining malicious software from foreign computer. However, storing data on remote servers has privacy-related risks. In this field, we focus on privacy protection on multimedia search system in the cloud computing environment. The example on the left shows an image being encrypted when obtained without authorization.
Digital properties can be easily obtained and distributed, which could also infringe the content owner's copyright. Although content ownership is emphasized in the conventional digital content protection schemes, the illegal distributor of content is usually the often overlooked main culprit. In this research, we focus on multimedia joint encryption and fingerprinting, which can identify the copyright owner and the illegal distributor (Traitor Tracing). This identification system provides an effective protection of intellectual property rights, which could help reduce or stop most copyright infringement.Â