The Multi-layer Imbrication for Data Leakage Prevention from Mobile Devices

International audienceThe convergence of mobile and online social network technologies has led to the emergence of mobile social applications available through stores for mobile devices. Nowadays, one can observe the proliferation of mobile social networks and the diversity of digital profiles for a unique person. In this work, we propose to model the multiple facets of one digital life from the data available on his smartphone. More specifically, we investigate the interactions and connections that may exist between the multiple digital faces of an individual. We provide a set of indicators that measure the level of imbrication of a contact that belongs to the egocentric social network of a smartphone user. We prove the efficiency of these features for the detection of illegitimate contacts by link prediction on a case study of Facebook. This application shows that local information stored on mobile devices can participate to the prevention of data leakage on online social networks

The Multi-layer Imbrication for Data Leakage Prevention from Mobile Devices

International audienceThe convergence of mobile and online social network technologies has led to the emergence of mobile social applications available through stores for mobile devices. Nowadays, one can observe the proliferation of mobile social networks and the diversity of digital profiles for a unique person. In this work, we propose to model the multiple facets of one digital life from the data available on his smartphone. More specifically, we investigate the interactions and connections that may exist between the multiple digital faces of an individual. We provide a set of indicators that measure the level of imbrication of a contact that belongs to the egocentric social network of a smartphone user. We prove the efficiency of these features for the detection of illegitimate contacts by link prediction on a case study of Facebook. This application shows that local information stored on mobile devices can participate to the prevention of data leakage on online social networks

The Multi-layer Imbrication for Data Leakage Prevention from Mobile Devices

International audienceThe convergence of mobile and online social network technologies has led to the emergence of mobile social applications available through stores for mobile devices. Nowadays, one can observe the proliferation of mobile social networks and the diversity of digital profiles for a unique person. In this work, we propose to model the multiple facets of one digital life from the data available on his smartphone. More specifically, we investigate the interactions and connections that may exist between the multiple digital faces of an individual. We provide a set of indicators that measure the level of imbrication of a contact that belongs to the egocentric social network of a smartphone user. We prove the efficiency of these features for the detection of illegitimate contacts by link prediction on a case study of Facebook. This application shows that local information stored on mobile devices can participate to the prevention of data leakage on online social networks