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Towards Multimodal Interfaces for Intrusion Detection

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Network intrusion detection has been generally dealt with sophisticated software and statistical analysis, although sometimes it has to be done by administrators, either by detecting the intruders in real time or by revising network logs, making this a tedious and time-consuming labor. To support this, intrusion detection analysis has been carried out using visual, auditory or tactile sensory information in computer interfaces. However, little is known about how to integrate best the sensory channels for analyzing intrusion detection. We propose a multimodal human-computer interface to analyze malicious attacks during forensic examination of network logs. We describe a sonification prototype, which generates different sounds according to a number of "suspicious" network activities.

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