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Full-Text Articles in Medicine and Health Sciences
Assessment Of Internationalised Domain Name Homograph Attack Mitigation, Peter Hannay, Christopher Bolan
Assessment Of Internationalised Domain Name Homograph Attack Mitigation, Peter Hannay, Christopher Bolan
Australian Information Security Management Conference
With the advent of internationalised domains the threat posed by non-english character sets has eventuated. Whilst this phenomenon remains well known in the development and internet industry the actual implementations of popular applications have been tested to determine their resilience to homograph based attack. The research found that most provided features that overcome such attacks, but there remain a few notable exceptions. Should an attacker take advantage of such oversights a victim would likely not be able to spot a fraudulent site or email and thus provide a perfect platform for subsequent attack.
A Privacy Framework For Mobile Health And Home-Care Systems, David Kotz, Sasikanth Avancha, Amit Baxi
A Privacy Framework For Mobile Health And Home-Care Systems, David Kotz, Sasikanth Avancha, Amit Baxi
Dartmouth Scholarship
In this paper, we consider the challenge of preserving patient privacy in the context of mobile healthcare and home-care systems, that is, the use of mobile computing and communications technologies in the delivery of healthcare or the provision of at-home medical care and assisted living. This paper makes three primary contributions. First, we compare existing privacy frameworks, identifying key differences and shortcomings. Second, we identify a privacy framework for mobile healthcare and home-care systems. Third, we extract a set of privacy properties intended for use by those who design systems and applications for mobile healthcare and home-care systems, linking them …
Beyond K-Anonymity: A Decision Theoretic Framework For Assessing Privacy Risk, Guy Lebanon, Monica Scannapieco, Mohamed Fouad, Elisa Bertino
Beyond K-Anonymity: A Decision Theoretic Framework For Assessing Privacy Risk, Guy Lebanon, Monica Scannapieco, Mohamed Fouad, Elisa Bertino
Cyber Center Publications
An important issue any organization or individual has to face when managing data containing sensitive information, is the risk that can be incurred when releasing such data. Even though data may be sanitized before being released, it is still possible for an adversary to reconstruct the original data using additional information thus resulting in privacy violations. To date, however, a systematic approach to quantify such risks is not available. In this paper we develop a framework, based on statistical decision theory, that assesses the relationship between the disclosed data and the resulting privacy risk. We model the problem of deciding …