Kosa - Theory for Privacy Measuring v2
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The document discusses the multifaceted nature of privacy across disciplines and the lack of standardized measurement methods. It highlights a theoretical framework that categorizes different states of privacy and emphasizes the importance of individual preferences and social structures. Additionally, it raises questions about decision-making in social contexts and explores technology's role in managing identifiable information.
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Kosa - Theory for Privacy Measuring v2
- 12. Why Privacy?
- 17. Problem ¡ñ Research across disciplines suffers because there is no unifed mechanism for measurement ¡ñ Computer science has focussed on policy enforcement, ontologies and taxonomies ¡ñ Nobody looks at individual privacy preferences in a given environment, which is the basis for legislation ¨C And also how requirements must be derived
- 18. 2 Examples ¡ñ Facebook ¡ñ Twitter
- 23. Versus
- 26. Hypothesis ¡ñ Disregarding the value-based approach to privacy, it's possible to dervie a finite representation based on discrete factors ¡ñ The representation can be used to understand privacy betteracross disciplines ¨C Standardization ¨C Measurement ¨C Management
- 27. Theoretical Framework ¡ñ Scientific / mathematical determinism ¡ñ Plus.
- 28. The States 1)Private: existence is unknown 2)Unidentified: presence is known 3)Anonymous: information known but no identity 4)Masked: identity linkage is concealed 5)De-identified: identity is not directly linked 6)Pseudonymous: identity is falsefied 7)Confidential: identity is known for a specific purpose 8)Identified: capable of being distinguised 9)Public: everything is known and assigned
- 30. Factors ¡ñ Human: considerations when privacy decisions are made ¡ñ Technology: services that computers perform related to information management ¡ñ Data Types: types of identifiable information ¡ñ Recepient: machine v. human ¡ñ Architecture: characteristics of the physical environment
- 31. Human ¡ñ Human privacy rules are specific to the establishment; they are reflected in the physical structure and properties of society ¡ñ Each individual has a social contact threshold which determines how they exercise their privacy rights ¡ñ Examples: ¡ñ Subject matter of the object ¡ñ Control of disclosure, information, audience ¡ñ Social structure and condition ¡ñ Visibility ¡ñ Expectations
- 32. Data Types ¡ñ Notion of privacy as information protection is well represented in legislaiton and regulation across the world ¡ñ Less widely used is the notion of identifiability: that data exists that may or may not include the traditional identifiers, e.g. Name, but may still uniquely identify a person ¡ñ What is more private: a phone number or a prescription?
- 33. Technology ¡ñ Computers are generally accepted to be an effective tool for information management; used to acquire, organize, retrieve, search and maintain information ¡ñ This happens increasingly without human intervention ¡ñ When it comes to managing information about an identifiable person, there are a discrete number of functions that computers can provide ¡ñ Examples: ¡ñ Network, hosting, registration, mail, website/portal, software, backup
- 34. Proposed Formalization 1) Sn = w H f (H )+ wD f (D)+ wT f (T ) 2) f (Factor) = (w1F1 + w2 F2 +... + wn Fn ) 3) The more positive the individual factors, the higher to total result of the factor set, the more likely the individual will move to a lower state of privacy, Sm>Sn
- 35. Transitions ¡ñ Forward ¡ñ I disclose about me, my objects ¡ñ You disclose about me, my objects ¡ñ Backward ¡ñ information redaction ¡ñ information protection
- 36. Questions For You ¡ñ How do people make decisions? ¡ñ Specifically in social situations? ¡ñ How does space change behaviour? ¡ñ Any suggestions for testing? ¡ñ What are the other disciplines that talk about space, privacy, representation of self? ¡ñ Suggestions on theoretical frameworks?
- 37. An Offer