论文标题
用虚拟助手原型打架语音垃圾邮件
Fighting Voice Spam with a Virtual Assistant Prototype
论文作者
论文摘要
大规模机器人每天都会影响数百万人。不幸的是，大多数针对Robocalls的防御措施都依赖电话块列表，并且对呼叫者ID欺骗无效。为了启用欺骗的Robocalls的检测，我们提出了一个可以集成在智能手机上的{\ em Virtual Assistant}应用程序，以自动审查传入的呼叫。与人类助手类似，虚拟助手可以在没有用户中断的情况下接听来电和筛选它，以确定呼叫是否不需要。通过用户研究，我们表明我们的虚拟助手能够保留典型电话的用户体验。同时，我们表明我们的系统可以检测大规模机器人通话，而不会对合法呼叫者产生负面影响。
Mass robocalls affect millions of people on a daily basis. Unfortunately, most current defenses against robocalls rely on phone blocklists and are ineffective against caller ID spoofing. To enable the detection of spoofed robocalls, we propose a {\em virtual assistant} application that could be integrated on smartphones to automatically vet incoming calls. Similar to a human assistant, the virtual assistant can pick up an incoming call and screen it without user interruption to determine if the call is unwanted. Via a user study, we show that our virtual assistant is able to preserve the user experience of a typical phone call. At the same time, we show that our system can detect mass robocalls without negatively impacting legitimate callers.
