Part 2: Privacy MetricsInternational audienceIdentity management system(s) (IDMS) do rely on tokens in order to function. Tokens can contribute to privacy or security risk in IDMS. Specifically, the characteristics of tokens contribute greatly to security and privacy risks in IDMS. Our understanding of how the characteristics of token contribute to privacy and security risks will help us manage the privacy and security risks in IDMS. In this article, we introduce a taxonomy of privacy and security risks contributing factors to improve our understanding of how tokens affect privacy and security in IDMS. The taxonomy is based on a survey of IDMS articles. We observed that our taxonomy can form the basis for a risk assessment model
Cyber-security systems, which protect networks and computers against cyber attacks, are becoming com...
Cyber-security systems, which protect networks and computers against cyber attacks, are becoming com...
Privacy risk assessments aim to analyze and quantify the privacy risks associated with new systems. ...
This thesis develops a risk model and model-based risk analysis method for privacy and security risk...
International audiencePrivacy Risk Analysis fills a gap in the existing literature by providing an i...
ENGELSK: The concept of privacy was recognized as early as the time of Aristotle, and has been a the...
Increasingly, advanced analytics methods – artificial intelligence/machine learning – are being used...
While the opening of data has become a common practice for both governments and companies, many data...
Usable privacy and security researchers have developed a variety of approaches to represent risk to ...
iAbstract Due to wide spread of the Internet, a variety of electronic services have been available f...
Abstract—Privacy risk analysis of complex socio-technical systems suffers from an inadequate risk mo...
The increased popularity of interconnected devices, which we rely on when performing day-to-day acti...
In this paper, we propose a model that could be used by system developers to measure the perceived p...
When statistical agencies release microdata to the public, malicious users (intruders) may be able t...
Part 5: Panel Session – Risk Management of Identity ManagementInternational audienceThis position pa...
Cyber-security systems, which protect networks and computers against cyber attacks, are becoming com...
Cyber-security systems, which protect networks and computers against cyber attacks, are becoming com...
Privacy risk assessments aim to analyze and quantify the privacy risks associated with new systems. ...
This thesis develops a risk model and model-based risk analysis method for privacy and security risk...
International audiencePrivacy Risk Analysis fills a gap in the existing literature by providing an i...
ENGELSK: The concept of privacy was recognized as early as the time of Aristotle, and has been a the...
Increasingly, advanced analytics methods – artificial intelligence/machine learning – are being used...
While the opening of data has become a common practice for both governments and companies, many data...
Usable privacy and security researchers have developed a variety of approaches to represent risk to ...
iAbstract Due to wide spread of the Internet, a variety of electronic services have been available f...
Abstract—Privacy risk analysis of complex socio-technical systems suffers from an inadequate risk mo...
The increased popularity of interconnected devices, which we rely on when performing day-to-day acti...
In this paper, we propose a model that could be used by system developers to measure the perceived p...
When statistical agencies release microdata to the public, malicious users (intruders) may be able t...
Part 5: Panel Session – Risk Management of Identity ManagementInternational audienceThis position pa...
Cyber-security systems, which protect networks and computers against cyber attacks, are becoming com...
Cyber-security systems, which protect networks and computers against cyber attacks, are becoming com...
Privacy risk assessments aim to analyze and quantify the privacy risks associated with new systems. ...