A privacy and security threat assessment framework for consumer health wearables
- Mnjama, Javan, Foster, Gregory G, Irwin, Barry V W
- Authors: Mnjama, Javan , Foster, Gregory G , Irwin, Barry V W
- Date: 2017
- Language: English
- Type: text , article
- Identifier: http://hdl.handle.net/10962/429217 , vital:72568 , https://ieeexplore.ieee.org/abstract/document/8251776
- Description: Health data is important as it provides an individual with knowledge of the factors needed to be improved for oneself. The development of fitness trackers and their associated software aid consumers to understand the manner in which they may improve their physical wellness. These devices are capable of collecting health data for a consumer such sleeping patterns, heart rate readings or the number of steps taken by an individual. Although, this information is very beneficial to guide a consumer to a better healthier state, it has been identified that they have privacy and security concerns. Privacy and Security are of great concern for fitness trackers and their associated applications as protecting health data is of critical importance. This is so, as health data is one of the highly sort after information by cyber criminals. Fitness trackers and their associated applications have been identified to contain privacy and security concerns that places the health data of consumers at risk to intruders. As the study of Consumer Health continues to grow it is vital to understand the elements that are needed to better protect the health information of a consumer. This research paper therefore provides a conceptual threat assessment framework that can be used to identify the elements needed to better secure Consumer Health Wearables. These elements consist of six core elements from the CIA triad and Microsoft STRIDE framework. Fourteen vulnerabilities were further discovered that were classified within these six core elements. Through this, better guidance can be achieved to improve the privacy and security of Consumer Health Wearables.
- Full Text:
- Date Issued: 2017
- Authors: Mnjama, Javan , Foster, Gregory G , Irwin, Barry V W
- Date: 2017
- Language: English
- Type: text , article
- Identifier: http://hdl.handle.net/10962/429217 , vital:72568 , https://ieeexplore.ieee.org/abstract/document/8251776
- Description: Health data is important as it provides an individual with knowledge of the factors needed to be improved for oneself. The development of fitness trackers and their associated software aid consumers to understand the manner in which they may improve their physical wellness. These devices are capable of collecting health data for a consumer such sleeping patterns, heart rate readings or the number of steps taken by an individual. Although, this information is very beneficial to guide a consumer to a better healthier state, it has been identified that they have privacy and security concerns. Privacy and Security are of great concern for fitness trackers and their associated applications as protecting health data is of critical importance. This is so, as health data is one of the highly sort after information by cyber criminals. Fitness trackers and their associated applications have been identified to contain privacy and security concerns that places the health data of consumers at risk to intruders. As the study of Consumer Health continues to grow it is vital to understand the elements that are needed to better protect the health information of a consumer. This research paper therefore provides a conceptual threat assessment framework that can be used to identify the elements needed to better secure Consumer Health Wearables. These elements consist of six core elements from the CIA triad and Microsoft STRIDE framework. Fourteen vulnerabilities were further discovered that were classified within these six core elements. Through this, better guidance can be achieved to improve the privacy and security of Consumer Health Wearables.
- Full Text:
- Date Issued: 2017
Rich Representation and Visualisation of Time-Series Data
- Kerr, Simon, Foster, Gregory G, Irwin, Barry V W
- Authors: Kerr, Simon , Foster, Gregory G , Irwin, Barry V W
- Date: 2009
- Language: English
- Type: text , article
- Identifier: http://hdl.handle.net/10962/428130 , vital:72488 , https://www.researchgate.net/profile/Barry-Ir-win/publication/265821926_Rich_Representation_and_Visualisation_of_Time-Series_Data/links/5548a1350cf26a7bf4daefb1/Rich-Representation-and-Visualisation-of-Time-Series-Data.pdf
- Description: Currently the majority of data is visualized using static graphs and ta-bles. However, static graphs still leave much to be desired and provide only a small insight into trends and changes between values. We pro-pose a move away from purely static representations of data towards a more fluid and understandable environment for data representation. This is achieved through the use of an application which animates time based data. Animating time based data allows one to see nuances within a dataset from a more comprehensive perspective. This is espe-cially useful within the time based data rich telecommunications indus-try. The application comprises of two parts-the backend manages raw data which is then passed to the frontend for animation. A play function allows one to play through a time series. Which creates a fluid and dy-namic environment for exploring data. Both the advantages and disad-vantages of this approach are investigated and an application is intro-duced which can be used to animate and explore datasets.
- Full Text:
- Date Issued: 2009
- Authors: Kerr, Simon , Foster, Gregory G , Irwin, Barry V W
- Date: 2009
- Language: English
- Type: text , article
- Identifier: http://hdl.handle.net/10962/428130 , vital:72488 , https://www.researchgate.net/profile/Barry-Ir-win/publication/265821926_Rich_Representation_and_Visualisation_of_Time-Series_Data/links/5548a1350cf26a7bf4daefb1/Rich-Representation-and-Visualisation-of-Time-Series-Data.pdf
- Description: Currently the majority of data is visualized using static graphs and ta-bles. However, static graphs still leave much to be desired and provide only a small insight into trends and changes between values. We pro-pose a move away from purely static representations of data towards a more fluid and understandable environment for data representation. This is achieved through the use of an application which animates time based data. Animating time based data allows one to see nuances within a dataset from a more comprehensive perspective. This is espe-cially useful within the time based data rich telecommunications indus-try. The application comprises of two parts-the backend manages raw data which is then passed to the frontend for animation. A play function allows one to play through a time series. Which creates a fluid and dy-namic environment for exploring data. Both the advantages and disad-vantages of this approach are investigated and an application is intro-duced which can be used to animate and explore datasets.
- Full Text:
- Date Issued: 2009
- «
- ‹
- 1
- ›
- »