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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kolan, P. Dantu, R. |
| Copyright Year | 2008 |
| Description | Author affiliation: North Texas Univ., Denton (Kolan, P.; Dantu, R.) |
| Abstract | In every day life, people communicate through a voice(e.g., VoIP) network with different social groups that range from known people such as family members, friends, and distant relatives to unknown people such as spammers, telemarketers, and phishers. We believe that there exists a human/social dynamics between individuals by the way calls are generated, handled and received. In this paper we present how this dynamics can be used for detecting and filtering unwanted calls. In this paper, we first enumerate the communication patterns between the called party (callee) and the calling parties (callers). Next, we discuss operations on caller-callee matrices constructed based on their communication patterns, and derive call-constructs that can be used for determining the legitimacy of the calls and the callers. Finally, we discuss how these communication patterns and operations can be grouped for solutions to few of the existing IP telephony problems. These solutions can complement the existing no-call-lists in voice networks. |
| Starting Page | 854 |
| Ending Page | 858 |
| File Size | 301184 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424414567 |
| e-ISBN | 9781424414574 |
| DOI | 10.1109/ccnc08.2007.199 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-01-10 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algebra Humans Filtering Computer science Internet telephony Peer to peer computing Context modeling Mood IP networks Social network services |
| Content Type | Text |
| Resource Type | Article |
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