Reference number : GC-2017-Q1-03155, amendment number : , agreement type : G, recipient legal name : Chiasson, Sonia (Carleton University), recipient country : CA, recipient province : nan, recipient city : Ontario, recipient postal code : nan, program name english : Discovery Grants Program - Individual, program name french : Programme de subventions à la découverte - individuelles, program purpose english : Effects of poor cybersecurity impact everyone, from individuals to large corporations, not-for-profit organizations, or government agencies. While many security incidents have a human component, these can frequently be traced back to system designs and configurations that placing unreasonable demands on users by ignore human capabilities and real-world context of use. In the same way that network protocols are resilient to network interruptions or dropped packets, I suggest that security systems should be resilient and adaptable to human behaviour. My research program relates to such human-oriented computer security. The main objectives are to identify strengths and vulnerabilities in real-world security mechanisms, to develop improved designs and understand their security and usability implications, and to identify foundational design principles applicable to the general usable security space. For this grant, the following three themes will be explored. 
 
Domain experts such as security analysts or software developers are not typical end-users and are often overlooked in terms of usable security. However, consequences of unusable or inadequate tools can be devastating for entire networks or for software deployed worldwide. A first research direction includes improving support for security code reviews by developing tools to help programmers detect security vulnerabilities, prioritize security fixes, and encourage collaborative reviewing of code, partially inspired by Agile software engineering methods. A second direction relates to security analysts who must frequently merge several data sets, find previously undetermined associations among them, and share expertise. We intend to explore such collaborative work and devise new security visualization of large data sets. 
 
We have conducted significant research into understanding the human factors and security implications of knowledge-based authentication, and will continue working towards real-world solutions. For example, we have recently turned our attention to user authentication for children, a subject which has received almost no attention in the research community. We are working towards a child-friendly authentication scheme and a parent-child password manager addressing the need for autonomy and privacy while ensuring some parental oversight. 
 
In more exploratory research, we are interested in the usable security and privacy for the Internet of Things devices and implications for Smart Cities. This emerging area has significant usable privacy and security implications for end-users, and offers opportunity to affect the implementation of new technologies while their design is still flexible., program purpose french : Effects of poor cybersecurity impact everyone, from individuals to large corporations, not-for-profit organizations, or government agencies. While many security incidents have a human component, these can frequently be traced back to system designs and configurations that placing unreasonable demands on users by ignore human capabilities and real-world context of use. In the same way that network protocols are resilient to network interruptions or dropped packets, I suggest that security systems should be resilient and adaptable to human behaviour. My research program relates to such human-oriented computer security. The main objectives are to identify strengths and vulnerabilities in real-world security mechanisms, to develop improved designs and understand their security and usability implications, and to identify foundational design principles applicable to the general usable security space. For this grant, the following three themes will be explored. 
 
Domain experts such as security analysts or software developers are not typical end-users and are often overlooked in terms of usable security. However, consequences of unusable or inadequate tools can be devastating for entire networks or for software deployed worldwide. A first research direction includes improving support for security code reviews by developing tools to help programmers detect security vulnerabilities, prioritize security fixes, and encourage collaborative reviewing of code, partially inspired by Agile software engineering methods. A second direction relates to security analysts who must frequently merge several data sets, find previously undetermined associations among them, and share expertise. We intend to explore such collaborative work and devise new security visualization of large data sets. 
 
We have conducted significant research into understanding the human factors and security implications of knowledge-based authentication, and will continue working towards real-world solutions. For example, we have recently turned our attention to user authentication for children, a subject which has received almost no attention in the research community. We are working towards a child-friendly authentication scheme and a parent-child password manager addressing the need for autonomy and privacy while ensuring some parental oversight. 
 
In more exploratory research, we are interested in the usable security and privacy for the Internet of Things devices and implications for Smart Cities. This emerging area has significant usable privacy and security implications for end-users, and offers opportunity to affect the implementation of new technologies while their design is still flexible., agreement title english : Human-oriented computer security, agreement title french : Human-oriented computer security, agreement number : RGPIN, agreement value : 170000.0, agreement start date : 2017-05-10, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year. (2017-2018 to 2022-2023), additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier. (2017-2018 à 2022-2023), owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada