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Toward Sound-Assisted Intrusion Detection Systems
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Toward Sound-Assisted Intrusion Detection Systems
Lei Qi1 , Miguel Vargas Martin1 , Bill Kapralos1 , Mark Green1 and Miguel García-Ruiz2 
| (1) |
University of Ontario Institute of Technology, Oshawa, Canada |
| (2) |
University of Colima, Mexico |
Abstract
Network intrusion detection has been generally dealt with using 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 task. 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 best integrate the sensory
channels for analyzing intrusion detection alarms. In the past, we proposed a set of ideas outlining the benefits of enhancing
intrusion detection alarms with multimodal interfaces. In this paper, we present a simplified sound-assisted attack mitigation
system enhanced with auditory channels. Results indicate that the resulting intrusion detection system effectively generates
distinctive sounds upon a series of simple attack scenarios consisting of denial-of-service and port scanning.
Keywords Intrusion detection - computer networks - computer forensics - human-computer interfaces - multimodal interfaces
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