Question Bank
DATA PRIVACY MTCSPE1001D
UNIT I Questions
- Define data linking and
profiling in the context of privacy. Discuss how these techniques can
compromise individual privacy with relevant examples.
- Compare and contrast
different access control models with special emphasis on role-based access
control. How do they contribute to ensuring data privacy?
- Explain the concept of
privacy policies. What are the key components that should be included in a
well-designed privacy policy language?
- Discuss the unique privacy
challenges in the medical domain. How do these challenges differ from
those in the financial sector?
- Analyze how fundamental
privacy concepts have evolved with the advancement of technology. Provide
examples of how traditional definitions of privacy may be inadequate in
today's digital environment.
- Evaluate the effectiveness
of role-based access control in protecting sensitive information. What
improvements can be made to strengthen its implementation?
- Discuss the ethical
considerations that should be incorporated into privacy policies. How do
these ethical frameworks influence policy development?
- Critically analyze the
relationship between data privacy attacks and defensive measures. How has
this relationship evolved over time?
- Compare different privacy
policy specification languages. What are their relative strengths and
limitations in practical implementations?
- Explain how the concept of
privacy differs across cultures and legal systems. How should
international organizations address these differences in their privacy
frameworks?
UNIT II Questions
- Explain the concept of
"data explosion" and analyze its implications for individual
privacy in the digital age. Provide relevant statistics to support your
answer.
- What are the primary
barriers (or lack thereof) in the collection and distribution of
person-specific information? Discuss both technical and non-technical
factors.
- Describe a mathematical
model for characterizing real-world data sharing practices. How can such
models be used to compute privacy risks?
- Explain the relationship
between demographics and uniqueness in the context of data privacy. How
does this relationship impact re-identification risks?
- Compare different approaches
to measuring privacy risks in datasets. What metrics are commonly used and
what are their limitations?
- Analyze how advances in big
data technologies have accelerated the data explosion phenomenon. What
specific privacy challenges emerge from these technological developments?
- Discuss how the concept of
"informed consent" has been affected by modern data collection
practices. Is traditional consent still meaningful in today's data
ecosystem?
- Evaluate the effectiveness
of current mathematical models in quantifying privacy risks. What
improvements could be made to make these models more accurate?
- Describe how uniqueness
patterns in data can be exploited for re-identification. What demographic
factors contribute most significantly to uniqueness?
- Compare the data sharing
practices across different industries. How do their approaches to privacy
protection differ and what factors influence these differences?
UNIT III Questions
- Compare and contrast the
null-map, k-map, and wrong map protection models. What are the strengths
and weaknesses of each approach?
- Explain the working
principles of the Datafly system. How does it achieve privacy protection
for delimited data?
- Analyze the k-Similar
approach to privacy protection. In what scenarios is it most effective,
and what are its limitations?
- Describe the methods used
for inferring entity identities from supposedly anonymized data. How can
organizations defend against such inference attacks?
- Explain how the Scrub system
works to protect textual documents. What types of identifiers can it
detect and sanitize?
- Evaluate the trade-off
between data utility and privacy in different protection models. How can
this balance be optimized for different use cases?
- Compare MinGen and Datafly
systems in terms of their approaches, effectiveness, and computational
efficiency. In what scenarios would you prefer one over the other?
- Analyze the technical
challenges in implementing disclosure control mechanisms in large-scale
databases. How can these challenges be addressed?
- Discuss the evolution of
protection models from simple suppression techniques to more sophisticated
approaches. What factors have driven this evolution?
- Evaluate the effectiveness of current
techniques for protecting textual data compared to structured data. What unique
challenges does textual data present for privacy protection?
UNIT IV Questions
- Analyze the relationship
between technology, policy, and freedom in the context of data privacy.
How do these elements interact in shaping privacy outcomes?
- Discuss the key provisions
of major medical privacy legislation. What protections do they offer to
patients regarding their health information?
- Evaluate the effectiveness
of current medical privacy best practices. What gaps exist and how might
they be addressed?
- Compare privacy policies and
practices in healthcare organizations before and after the implementation
of medical privacy legislation. What changes have occurred?
- Discuss the challenges in
balancing medical research needs with patient privacy. How can healthcare
institutions maintain this balance effectively?
- Analyze the impact of
emerging technologies like AI and IoT on medical privacy policies. How
should regulations evolve to address these technological developments?
- Evaluate the effectiveness of
self-regulatory approaches to privacy protection in the healthcare sector.
Under what conditions are they most successful?
- Compare medical privacy
legislation across different countries or jurisdictions. What common
principles exist, and what significant differences can be observed?
- Discuss the role of patient
consent in the context of medical data sharing. How has the concept of
consent evolved with digitization of health records?
- Analyze the particular privacy challenges
associated with genetic and genomic data. What special protections are
needed for this type of information?
UNIT V Question
- Analyze the unique privacy
challenges posed by the World Wide Web. How have these challenges evolved
over time?
- Evaluate the protections
provided by the Freedom of Information Act in the context of privacy. What
are its strengths and limitations?
- Discuss the legal
requirements for search warrants in the digital age. How do these
requirements apply to digital evidence and online activities?
- Compare privacy protection
approaches across different web-based services. What common strategies are
employed and how effective are they?
- Analyze the role of user
awareness and self-protection in maintaining privacy on the World Wide
Web. What tools and techniques are available to individual users?
- Evaluate the effectiveness of current
browser privacy features and extensions. How do they protect users, and
what limitations do they have?
- Discuss the tensions between
freedom of information principles and privacy protection. How can these
competing interests be balanced in policy and law?
- Analyze the evolution of
search warrant requirements for digital content. How have courts
interpreted the Fourth Amendment in the context of digital evidence?
- Compare different
jurisdictional approaches to web privacy. How do regulatory frameworks
like GDPR and CCPA differ in their protection models?
- Evaluate the role of data
localization policies in protecting privacy. What are the implications of
cross-border data transfers for individual privacy?
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