System and Methods for Detecting Unwanted Voice Calls

System and Methods for Detecting Unwanted Voice Calls

Date: December 2007
Creator: Kolan, Prakash
Description: Voice over IP (VoIP) is a key enabling technology for the migration of circuit-switched PSTN architectures to packet-based IP networks. However, this migration is successful only if the present problems in IP networks are addressed before deploying VoIP infrastructure on a large scale. One of the important issues that the present VoIP networks face is the problem of unwanted calls commonly referred to as SPIT (spam over Internet telephony). Mostly, these SPIT calls are from unknown callers who broadcast unwanted calls. There may be unwanted calls from legitimate and known people too. In this case, the unwantedness depends on social proximity of the communicating parties. For detecting these unwanted calls, I propose a framework that analyzes incoming calls for unwanted behavior. The framework includes a VoIP spam detector (VSD) that analyzes incoming VoIP calls for spam behavior using trust and reputation techniques. The framework also includes a nuisance detector (ND) that proactively infers the nuisance (or reluctance of the end user) to receive incoming calls. This inference is based on past mutual behavior between the calling and the called party (i.e., caller and callee), the callee's presence (mood or state of mind) and tolerance in receiving voice calls from the ...
Contributing Partner: UNT Libraries
Classification of Attributes and Behavior in Risk Management Using Bayesian Networks

Classification of Attributes and Behavior in Risk Management Using Bayesian Networks

Date: March 2007
Creator: Dantu, Ram; Kolan, Prakash; Loper, Kall & Akl, Robert G.
Description: This paper discusses issues in security.
Contributing Partner: UNT College of Engineering