Detection of Anomalous Data Using Data Visualization Techniques

One of the most pressing problems in enforcing security in a network is the identification of suspicious nodes and messages in a network. A node's suspicion factor cannot be measured based on the information that is being sent through the network alone. Anomalous nodes are nodes in a network that send strange, malformed data only within a small instance of time. These data are crucial in cybercrime investigations and other kinds of fraudulence. Though existing methods can determine any misbehavior of nodes, little importance has been given to the field of detection of anomalous nodes - nodes that are forced to send suspicious data by the end user at few instances.