SGER: Preventing Voice Spamming

NSF 0516807SGER：预防语音垃圾PI：Ram Dantu这项研究解决了下一代语音通信中一个潜在的严重漏洞：互联网式垃圾邮件可能传播到语音电话网络的风险。所提出的方法使用信任、信誉和在线状态功能的组合来过滤网际协议语音(VoIP)网络中的呼入。这项研究通过IP电话上的“垃圾邮件”按钮整合了用户的反馈。这项工作将调查与社会行为相关的不同方法之间的协同效应，这些方法可以帮助减少由该机制产生的错误警报的数量。将从现场网络获取数据，以验证拟议的方法。这项工作的结果将可用于异质网络中的重用，例如IP上的SS7。

NSF 0516807SGER: Preventing Voice SpammingPI: Ram Dantu 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.