This research addresses a potentially serious vulnerability in next generation voice communications: the risk that Internet-style spam messages may propagate into the voice telephone network. The proposed methodology uses a combination of trust, reputation and presence functions for filtering incoming calls in a Voice over Internet Protocol (VoIP) network. The research incorporates user feedback via a 'spam' button on the IP phone. The work will investigate synergies among different methods related to social behavior that can help reduce the number of false alarms generated by the mechanism. Data from live networks will be sought in order to validate the proposed methods. The results from this work will be available for reuse in heterogeneous networks such as SS7 over IP.

Funded By:

  • National Science Foundation (NSF)
Start Date: 
Thursday, September 1, 2005
End Date: 
Thursday, August 31, 2006
Total Amount (all institutions combined): 
$60150.00
Individual Amounts: 
$60,150.00 (UNT)
Principal Investigators: 
Ram Dantu - Professor
Award Numbers: 
0516807 (UNT)

UNT Center:

  • Center for Information and Cyber Security (CICS)

UNT Department:

  • Computer Science and Engineering (CSE)

UNT Lab:

  • Network Security Laboratory (NSL)