Sentient Networks: A New Dimension in Network Capability

B. S. Manoj, R. Hegde, B. Rao, R. Rao
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引用次数: 1

Abstract

As computer networks evolve to the next generation, they offer flexible infrastructures for communication as well as high vulnerability. In order to sustain the reliability, to prevent misuse, and to provide radically new services, these networks need new capabilities in non-traditional domains of operation such as perception and consciousness. Therefore, we propose Sentient Networks, as an early approach towards realizing them. There are several applications for such networking capability. For one, sentient networks can enable packet detection in a blackbox manner, detect encryption of data transferred, detecting and classifying data types such as voice, video, and data. Some of the applications of such capabilities, for example, include the use of emotion content of the voice packets through a network and classifying these packets into normal, moderately panicked, and extremely panicked. Such classifications can be used to provide better QoS schemes for panicked callers. We obtained a packet detection accuracy of about 65-70% for data packets and about 98% accuracy for detecting encrypted TCP packets. The emotion-aware QoS provision mechanism provided approximately 60% improvement in delay performance for voice packets generated by panicked sources.
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感知网络:网络能力的新维度
随着计算机网络向下一代发展,它们为通信提供了灵活的基础设施,同时也具有很高的脆弱性。为了保持可靠性,防止误用,并提供全新的服务,这些网络需要在感知和意识等非传统操作领域的新功能。因此,我们提出了感知网络,作为实现它们的早期方法。有几个应用程序可以实现这种网络功能。例如,感知网络可以以黑箱方式实现数据包检测,检测传输数据的加密,检测和分类语音,视频和数据等数据类型。例如,这种功能的一些应用包括通过网络使用语音数据包的情感内容,并将这些数据包分类为正常、中度恐慌和极度恐慌。这样的分类可以用来为恐慌的呼叫者提供更好的QoS方案。我们对数据包的检测准确率约为65-70%,对加密TCP数据包的检测准确率约为98%。情绪感知QoS提供机制为恐慌源产生的语音包提供了大约60%的延迟性能提升。
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