Anomaly detection in online social networks

Anomaly Detection in Online Social Networks: Using Data- Mining Techniques and Fuzzy Logic

Analyzing the Effectiveness of Graph Metrics for Anomaly Detection in Online Social Networks

Online social networks can be modelled as graphs; in this paper, we analyze the use of graph metrics for identifying users with anomalous relationships to other users. A framework is proposed for analyzing the effectiveness of various graph theoretic properties such as the number of neighbouring nodes and edges, betweenness centrality, and community cohesiveness in detecting anomalous users. Ex...

Behavior-Based Online Anomaly Detection for a Nationwide Short Message Service

As fraudsters understand the time window and act fast, real-time fraud management systems becomes necessary in Telecommunication Industry. In this work, by analyzing traces collected from a nationwide cellular network over a period of a month, an online behavior-based anomaly detection system is provided. Over time, users' interactions with the network provides a vast amount of usage data. Thes...

Dynamic anomaly detection by using incremental approximate PCA in AODV-based MANETs

Mobile Ad-hoc Networks (MANETs) by contrast of other networks have more vulnerability because of having nature properties such as dynamic topology and no infrastructure. Therefore, a considerable challenge for these networks, is a method expansion that to be able to specify anomalies with high accuracy at network dynamic topology alternation. In this paper, two methods proposed for dynamic anom...

Online social networks and their Impact on Political Participation in Iran

Undoubtedly, the expansion of participation and competition among social groups in political lifeis one of the major goals of political development. Meanwhile, given the significant changes taken place in the socio-political life of societies, the traditional tools affecting political participation have somewhat weakened. Today, social networking sites are consideredas one of the most important...