Detection of distributed steganographic information in social networks

The peak of the new communications and social interactions through the Web makes less effective the use of classic automated tools of data acquisition. The massive appearance of authentication mechanisms, closed groups of users and, especially, mechanisms like captchas, makes really complex that automated tools can, in a simple manner, compile information and analyze it later. This paper reasons out how the characteristics of the present social networks can facilitate the presence of steganographic information. SDA steganalysis architecture is shown. SDA is composed of different tools to solve, as far as possible, the commented analysis problems. The paper emphasizes one tool, DCST, adapted to the steganalysis of Web content, mainly dynamic, typically present in the new social networks.