Multimodal Presentation of Biomedical Data

Obrenović, Željko; Starčević, Dušan; Jovanov, Emil

doi:10.1002/9780471740360.ebs1325

Cited by 2 publications

(1 citation statement)

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“…Although visual, auditory, and tactile channels have been studied and also used separately for intrusion detection, little is known about how to best combine the sensory channels and using the senses of taste and smell in a computer interface for analyzing intrusions. In multimodal interfaces, each modality can reinforce, supplement or complement each other, with the goal of alleviating cognitive load and allowing extra information channels [18].…”

Section: Related Workmentioning

confidence: 99%

Toward Sound-Assisted Intrusion Detection Systems

Martin

Kapralos

et al.

On the Move to Meaningful Internet Systems 2007: CoopIS, DOA, ODBASE, GADA, and IS

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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 timeconsuming 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.

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Section: Related Workmentioning

confidence: 99%