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Grant: Discovery Grants Program - Individual

University of Ontario Institute of Technology

$15,000.00

Towards New Security Paradigms for User Authentication and Traffic Inspection: Harnessing Implicit Mistakes and Auditory Sense

EF 2013-14

Résumé
This research program studies two new security paradigms that exploit the human mind via implicit cognition and the auditory sense to cope with known, emerging, and perhaps unforeseen attacks on computer systems. One paradigm deals with user authentication based on implicit mistakes and the other one with audio inspection of network traffic. Typically, authentication relies on something the user knows, has, is, or does, such as a password, access card, fingerprints, or voice, respectively. This research program studies a novel authentication mechanism that relies on the user's unconscious distinctive mistakes which we call ""implicit mistakes"" to match terminology in cognitive psychology. Over the past decades, a number of researchers in cognitive psychology have reported on experiments that tap into a person's unconscious, while in recent years some companies have adopted electroencephalogram (EEG) technology into commercial mind reader devices that ship with diverse applications and provide development software kits and online stores to facilitate the production and distribution of software. Dr. Vargas Martin proposed the idea of implicit cognition authentication in 2010, marking the beginning of an upsurge of authentication proposals leveraging EEG devices and advances in cognitive psychology. With regards to traffic inspection, Vargas Martin works on appropriate techniques to harness music theory to sonificate features of network traffic that are indicative of intrusions. In particular, this research program tests the effectiveness of music harmony to convey information about the activity in a network, server, or a simple computer. A key aspect of this approach is the identification and effective interpretation of features that, when used as aggregates can convey meaningful information to a human being. The possibilities are vast, both in terms of the feature extraction techniques, and in terms of musical sound generation.
Programme
Discovery Grants Program - Individual
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
312183-2013
Name nom
VargasMartin, Miguel
Department département
Business and Information Technology, Faculty of
Organization id
19222
Institution établissement
University of Ontario Institute of Technology
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2013
Competition year année de concours
2013
Award amount
15000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1507
Committee name en
Computer Science
Committee name fr
Sciences informatiques
Area of application code
800
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Information and communication services
Area of application fr
Services d'information et de télécommunications
Research subject code
2700
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Information technology
Research subject fr
Technologie de l'information
Partie
1
Nb partie
5
Application title
Towards New Security Paradigms for User Authentication and Traffic Inspection: Harnessing Implicit Mistakes and Auditory Sense
Keyword
NSERC
Application summary
This research program studies two new security paradigms that exploit the human mind via implicit cognition and the auditory sense to cope with known, emerging, and perhaps unforeseen attacks on computer systems. One paradigm deals with user authentication based on implicit mistakes and the other one with audio inspection of network traffic. Typically, authentication relies on something the user knows, has, is, or does, such as a password, access card, fingerprints, or voice, respectively. This research program studies a novel authentication mechanism that relies on the user's unconscious distinctive mistakes which we call ""implicit mistakes"" to match terminology in cognitive psychology. Over the past decades, a number of researchers in cognitive psychology have reported on experiments that tap into a person's unconscious, while in recent years some companies have adopted electroencephalogram (EEG) technology into commercial mind reader devices that ship with diverse applications and provide development software kits and online stores to facilitate the production and distribution of software. Dr. Vargas Martin proposed the idea of implicit cognition authentication in 2010, marking the beginning of an upsurge of authentication proposals leveraging EEG devices and advances in cognitive psychology. With regards to traffic inspection, Vargas Martin works on appropriate techniques to harness music theory to sonificate features of network traffic that are indicative of intrusions. In particular, this research program tests the effectiveness of music harmony to convey information about the activity in a network, server, or a simple computer. A key aspect of this approach is the identification and effective interpretation of features that, when used as aggregates can convey meaningful information to a human being. The possibilities are vast, both in terms of the feature extraction techniques, and in terms of musical sound generation.