Consequently, tools which permit the identification of source devices have significant utility in various areas of law enforcement ] such as child protection or digital rights management. Restrictions on the use of cameras include locations such as schools, government offices and businesses. The extensive use of smartphone cameras makes enforcing legal restrictions on the capture and sharing of digital photographs very difficult. So much so, that according to Ahonen et al., ], a large number of people have and use more than one mobile device and a typical user turns to their mobile devices an average of 150 times a day. Having described this overview in figures on the extent of the presence of mobile devices in the world, we must not overlook the emergence in today's society of such devices in our day to day life. There are also predictions that DSCs will disappear in favour of new integrated mobile device cameras ], because the improved quality of these devices is growing at an unstoppable rate. In 2013 only 27% of market share will be from DSCs. In 2012, 31% of digital cameras sold belong to mobile phones, PCs and tablets and the forecast for 2016 according to ] is to increase to 48%. The quality of these cameras has increased so much that many people use them as a replacement for digital still cameras (DSCs). In total, according to estimates by the International Communication Union, there are 6.8 billion mobile phone subscriptions worldwide, which is a large increase from the 6 billion subscriptions in 2012 and 5.8 billion in 2011.Ĩ3% of these mobile devices have an integrated digital camera, which in contrast to conventional digital cameras are carried by their owners all the time to most places they attend and, in many cases, these devices have internet access ]. According to Gartner ], 1.745 billion handsets were sold in 2012 and it is predicted that 1.9 billion handsets will be sold in 2013. Mobile digital cameras deserve special attention. Every day the number of digital cameras is growing as well as the ease of access to them. The development of digital technologies has been advancing and continues to do so at an unstoppable rate. Owing to increasing storage capacity, usability, portability and affordability, camera-enabled mobile phones have become ubiquitous consumer electronic devices. This article describes a set of experiments with the same set of images that can obtain general conclusions for the different configurations. Moreover, there are a number of parameters that allows the authors to adapt the execution of the algorithm to specific situations desired for the forensic analyst (a variety of types and sizes of image or optimising the average accuracy rate in terms of processing time). This approach is to extract wavelet-based features from sensor pattern noise which are then classified using a support vector machine. This study specifically addresses the description of a technique that allows the identification of the image source acquisition, for the specific case of mobile devices images. A further consequence of digital images' widespread use is that they are used today as silent witnesses in legal proceedings, as crucial evidence of the crime. The forensic analysis of digital images from mobile devices is particularly important given their quick expansion and everyday use in the society. IET Generation, Transmission & Distribution.IET Electrical Systems in Transportation.IET Cyber-Physical Systems: Theory & Applications.IET Collaborative Intelligent Manufacturing.CAAI Transactions on Intelligence Technology.