A Voice Spam Filter to Clean Subscribers' Mailbox

@inproceedings{Iranmanesh2012AVS,
  title={A Voice Spam Filter to Clean Subscribers' Mailbox},
  author={Seyed Amir Iranmanesh and Hemant Sengar and Haining Wang},
  booktitle={SecureComm},
  year={2012}
}
With the growing popularity of VoIP and its large customer base, the incentives of telemarketers for voice spam has been increasing in the recent years. If the threat of voice spam remains unchecked, it could become a problem as serious as email spam today. Compared to email spam, voice spam will be much more obnoxious and time consuming nuisance for telephone subscribers to filter out. In this paper, we propose a content-based approach to protect telephone subscribers voice mailboxes from… CONTINUE READING
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Key Quantitative Results

  • We validate the efficacy of the proposed scheme through real experiments, and our experimental results show that it can effectively filter out spam from the subscribers’ voice mailbox with 0.67% false positive rate and 8.33% false negative rate.
  • In our experiments, we found that our speaker independent spam detection algorithm can detect similar content message with 91% accuracy while generating 0.67% false positive rate and 8.33% false negative rate.
  • The experimental results show that our spam filtering approach can successfully classify a voice message into spam with 91% accuracy, while having 0.67% false positive rate and 8.33% false negative rate.

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