Sensitive Information Detection On Cyber-Space

The fast development of big data brings not only abundant information to extensive Internet users, but also new problems and challenges to cyber-security. Under the cover of Internet big data, many lawbreakers disseminate violence and religious extremism through the Internet, resulting in network space pollution and having a harmful effect on social stability. In this paper, we propose two algorithms, i.e., iterative based semi-supervised deep learning model and humming melody based search model, to detect abnormal visual and audio objects respectively. Experiments on different datasets also show the effectiveness of our algorithms.