Towards Multimodal Interfaces for Intrusion Detection

García-Ruiz MÁ, Kapralos B, Vargas Martin M. Towards Multimodal Interfaces for Intrusion Detection. In: AES Convention 122. Audio Engineering Society; 2007. Paper 7066. Available from: https://aes.org/publications/elibrary-page/?id=14051

@inproceedings{GarciaRuiz2007_14051,
  author = {García-Ruiz, Miguel Á. and Kapralos, Bill and Vargas Martin, Miguel},
  title = {{Towards Multimodal Interfaces for Intrusion Detection}},
  booktitle = {AES Convention 122},
  note = {Paper 7066},
  year = {2007},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=14051}
}

TY  - CPAPER
TI  - Towards Multimodal Interfaces for Intrusion Detection
AU  - García-Ruiz, Miguel Á.
AU  - Kapralos, Bill
AU  - Vargas Martin, Miguel
T2  - AES Convention 122
M1  - Paper 7066
PY  - 2007
DA  - 2007/05/06
UR  - https://aes.org/publications/elibrary-page/?id=14051
PB  - Audio Engineering Society
LA  - en
AB  - 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.
ER  -