Secure camera application on android phones

Current advances on smartphone's camera technologies leads smartphones to replace digital cameras. This allows people to take images in all aspects of life. In accommodation with social media and data sharing technologies these photographs are uploaded on the internet publicly and continuously. Because of the defects on the camera sensors that are caused by manufacturing process, images taken by those camera sensors carries a hidden noise that allow source camera identification. Source camera identification is not only useful technique for proving the source camera of the image in forensic cases but also identifying forgeries in images. However, the noise element that can be extracted from the image is also allows an attacker to make illegal identity tracking and noise copy attacks to deceive forensic analysis. Publicly available images are easily become the source for these attacks. Image anonymization techniques to prevent such attacks are only theoretically avaible to users as there is no such application to provide it. Since it is more secure for users to apply this anonymization in the source camera that takes the image, it is important to have a such application in smartphones. Because of the absence of such application and impossibility of running these techniques on the smartphones that has limited system resources due to android task killer that kills the processes which are using most system resources when the system lacks resources, such functionality cannot be provided to users. In this study we provide a segmented anonymization technique to run the anonymization process on smartphones that has a limited system resources by limiting the resource usage of the process. Also, we provide a fully functional android secure camera application that using this technique to provide a secure image to users. In this process, we also provide a technique for better source camera identification with HDR images.