Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/28617
Title: Early malicious activity discovery in microblogs by social bridges detection
Authors: Gogoglou, Antonia 
Theodosiou, Zenonas 
Kounoudes, Anastasis 
Vakali, Athena I. 
Manolopoulos, Yannis 
Major Field of Science: Engineering and Technology
Field Category: Electrical Engineering - Electronic Engineering - Information Engineering
Keywords: Twitter;Bridges;Facebook;Feature extraction;Signal processing;Information technology
Issue Date: 13-Dec-2016
Source: IEEE International Symposium on Signal Processing and Information Technology, 2016, 12-14 December, Limassol, Cyprus
Conference: IEEE International Symposium on Signal Processing and Information Technology 
Abstract: With the emerging and intense use of Online Social Networks (OSNs) amongst young children and teenagers (youngsters), safe networking and socializing on the Web has faced extensive scrutiny. Content and interactions which are considered safe for adult OSN users might embed potentially threatening and malicious information when it comes to underage users. This work is motivated by the strong need to safeguard youngsters OSNs experience such that they can be empowered and aware. The topology of a graph is studied towards detecting the so called 'social bridges', i.e. the major supporters of malicious users, who have links and ties to both honest and malicious user communities. A graph-topology based classification scheme is proposed to detect such bridge linkages which are suspicious for threatening youngsters networking. The proposed scheme is validated by a Twitter network, at which potentially dangerous users are identified based on their Twitter connections. The achieved performance is higher compared to previous efforts, despite the increased complexity due to the variety of groups identified as malicious.
URI: https://hdl.handle.net/20.500.14279/28617
ISBN: 9781509058440
DOI: 10.1109/ISSPIT.2016.7886022
Rights: © IEEE
Type: Conference Papers
Affiliation : Aristotle University of Thessaloniki 
SignalGeneriX Ltd 
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation

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