2019
DOI: 10.1108/ics-08-2018-0099
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Developing and validating a common body of knowledge for information privacy

Abstract: Purpose This paper aims to present a common body of knowledge (CBK) for the field of information privacy, titled InfoPrivacy CBK. The purpose of the proposed CBK is to guide internet users to better understand the concept of information privacy and associate information privacy-related concepts. The InfoPrivacy CBK was created with an educational orientation to provide the basis for designing privacy awareness and training programs and organizing relevant educational material. Design/methodology/approach The… Show more

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Cited by 10 publications
(8 citation statements)
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“…Validation of curricula often involves the participation of domain experts. Lavranou and Tsohou [36] present a common body of knowledge (CBK) for the field of information privacy, titled In-foPrivacy CBK. A CBK categorises the fundamental knowledge of a specific subject area and the proposed framework helps academics to develop the information privacy curriculum.…”
Section: Curriculum Validationmentioning
confidence: 99%
“…Validation of curricula often involves the participation of domain experts. Lavranou and Tsohou [36] present a common body of knowledge (CBK) for the field of information privacy, titled In-foPrivacy CBK. A CBK categorises the fundamental knowledge of a specific subject area and the proposed framework helps academics to develop the information privacy curriculum.…”
Section: Curriculum Validationmentioning
confidence: 99%
“…IoT can be applied on various application domains such as smart cities, smart vehicles, smart health, smart education, smart infrastructure, smart grids, and smart toys. Privacy is important in all of IoT applications, but the emphasis will be on different aspects of the individuals' privacy depending on the context of an application [4]. Patients' sensitive information about illnesses and diseases in smart health, information regarding individuals' attendance at their homes in smart homes, and information about the amount and type of energy people may use in smart grids are just few examples to demonstrate that privacy protection in IoT is a context-based subject.…”
Section: Introductionmentioning
confidence: 99%
“…PETs refer to specific methods that support individuals' privacy based on the law of data protection. PETs protect the privacy of personally identifiable information (PII) that provide by applications or services [4]. PETs try to eliminate personal data without the loss of functionality of the information system.…”
Section: Introductionmentioning
confidence: 99%
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