A Network Identification Model on Open Social Network

Amina Beevi S

Abstract: Today the number of cybercrimes increases very rapidly, this cause large financial loss to many organizations. Existing cyber-security technologies are not effective enough to protect organizations from this cyber attack, this is because existing cyber security solutions are weak in cybercrime forensic and predictions. This paper present development of a novel weakly supervised cybercriminal network mining method to facilitate cybercrime forensic to mine cybercriminal networks from online social media. This method collects the conversational messages posted to online social media by cybercriminals and finds both implicit and explicit relationship among them.

Keywords: LDA, PLSA, Laplacian score, Cyberattacks, lexicon

How to Cite?: Amina Beevi S, "A Network Identification Model on Open Social Network", Volume 4 Issue 7, July 2015, International Journal of Science and Research (IJSR), Pages: 868-870, https://www.ijsr.net/getabstract.php?paperid=SUB156433, DOI: https://dx.doi.org/10.21275/SUB156433