A UML Profile for Privacy Enforcement

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Slides of the paper "A UML Profile for Privacy Enforcement" accepted at the International Workshop on Security for and by Model-Driven Engineering, and presented on June 25 2018.

Science

Data is key
User Information Email, social security number, passport…
Geolocation, videos, pictures, routines…Personal Data

Data is key
User Information Email, social security number, passport…
Geolocation, videos, pictures, routines…Personal Data
Composite information
Route to go to work…
Places to pass the night…

Data is key
User Information
Data is the new currency
Email, social security number, passport…
Geolocation, videos, pictures, routines…Personal Data
Composite information
Route to go to work…
Places to pass the night…

The Open Data Movement
Data should be freely available to everyone
to use and republish as they wish, without
restrictions from copyright, patents or other
mechanisms of control

Let’s not forget to mention…
…harmonize data privacy laws across Europe, to protect and
empower all EU citizens data privacy and to reshape the way
organizations across the region approach data privacy…

How to add this information to existing methodologies?
…how we can leverage existing model-based approaches?
…how hard would it be?
#1
#2
How to convince organizations to annotate their data?
…are they actually concerned?
…would they see it as beneficial?
#3
Is it posible to automatically annotate existing models with privacy
information?
…are there some guidelines?
#4
How to mix data with different privacy enforcement definitions?
…how to deal with UML Class associations?
…what happens when dealing with other UML diagrams?

Except where otherwise noted, content on this presentation is licensed under a Creative Commons Attribution 4.0 International license.
Thanks!
Javier L. Cánovas Izquierdo
jcanovasi@uoc.edu
@jlcanovas
Julian Salas
jsalapi@uoc.edu

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In this book, we use conservation of energy techniques on a fluid element to derive the Modified Bernoulli equation of flow with viscous or friction effects. We derive the general equation of flow/ velocity and then from this we derive the Pouiselle flow equation, the transition flow equation and the turbulent flow equation. In the situations where there are no viscous effects , the equation reduces to the Bernoulli equation. From experimental results, we are able to include other terms in the Bernoulli equation. We also look at cases where pressure gradients exist. We use the Modified Bernoulli equation to derive equations of flow rate for pipes of different cross sectional areas connected together. We also extend our techniques of energy conservation to a sphere falling in a viscous medium under the effect of gravity. We demonstrate Stokes equation of terminal velocity and turbulent flow equation. We look at a way of calculating the time taken for a body to fall in a viscous medium. We also look at the general equation of terminal velocity.

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hematic appreciation test is a psychological assessment tool used to measure an individual's appreciation and understanding of specific themes or topics. This test helps to evaluate an individual's ability to connect different ideas and concepts within a given theme, as well as their overall comprehension and interpretation skills. The results of the test can provide valuable insights into an individual's cognitive abilities, creativity, and critical thinking skills

What is greenhouse gasses and how many gasses are there to affect the Earth.

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With increasing population, people need to rely on packaged food stuffs. Packaging of food materials requires the preservation of food. There are various methods for the treatment of food to preserve them and irradiation treatment of food is one of them. It is the most common and the most harmless method for the food preservation as it does not alter the necessary micronutrients of food materials. Although irradiated food doesn’t cause any harm to the human health but still the quality assessment of food is required to provide consumers with necessary information about the food. ESR spectroscopy is the most sophisticated way to investigate the quality of the food and the free radicals induced during the processing of the food. ESR spin trapping technique is useful for the detection of highly unstable radicals in the food. The antioxidant capability of liquid food and beverages in mainly performed by spin trapping technique.

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As the population is increasing and will reach about 9 billion upto 2050. Also due to climate change, it is difficult to meet the food requirement of such a large population. Facing the challenges presented by resource shortages, climate change, and increasing global population, crop yield and quality need to be improved in a sustainable way over the coming decades. Genetic improvement by breeding is the best way to increase crop productivity. With the rapid progression of functional genomics, an increasing number of crop genomes have been sequenced and dozens of genes influencing key agronomic traits have been identified. However, current genome sequence information has not been adequately exploited for understanding the complex characteristics of multiple gene, owing to a lack of crop phenotypic data. Efficient, automatic, and accurate technologies and platforms that can capture phenotypic data that can be linked to genomics information for crop improvement at all growth stages have become as important as genotyping. Thus, high-throughput phenotyping has become the major bottleneck restricting crop breeding. Plant phenomics has been defined as the high-throughput, accurate acquisition and analysis of multi-dimensional phenotypes during crop growing stages at the organism level, including the cell, tissue, organ, individual plant, plot, and field levels. With the rapid development of novel sensors, imaging technology, and analysis methods, numerous infrastructure platforms have been developed for phenotyping.

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原版制作(carleton毕业证书)卡尔顿大学毕业证硕士文凭原版一模一样

ANAMOLOUS SECONDARY GROWTH IN DICOT ROOTS.pptx

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A UML Profile for Privacy Enforcement

1. A UML Profile for Privacy Enforcement Javier L. Cánovas Izquierdo, Julián Salas unsplash/matthew-henry

2. flickr/clark-tibbs Motivation

3. Data is key

4. Data is key User Information Email, social security number, passport… Geolocation, videos, pictures, routines…Personal Data

5. Data is key User Information Email, social security number, passport… Geolocation, videos, pictures, routines…Personal Data Composite information Route to go to work… Places to pass the night…

6. Data is key User Information Data is the new currency Email, social security number, passport… Geolocation, videos, pictures, routines…Personal Data Composite information Route to go to work… Places to pass the night…

7. Data is key User Information Data is the new currency Email, social security number, passport… Geolocation, videos, pictures, routines…Personal Data Composite information Route to go to work… Places to pass the night…

8. The Open Data Movement Data should be freely available to everyone to use and republish as they wish, without restrictions from copyright, patents or other mechanisms of control

9. The Open Data Movement Data should be freely available to everyone to use and republish as they wish, without restrictions from copyright, patents or other mechanisms of control •Geographic, geopolitical and financial data Statistics Election results Legal acts Data on crime, health, the environment, transport and scientific research

10. The Open Data Movement Data should be freely available to everyone to use and republish as they wish, without restrictions from copyright, patents or other mechanisms of control •Geographic, geopolitical and financial data Statistics Election results Legal acts Data on crime, health, the environment, transport and scientific research BUT…

11. Let’s not forget to mention… …harmonize data privacy laws across Europe, to protect and empower all EU citizens data privacy and to reshape the way organizations across the region approach data privacy…

12. KEEP CALM AND COMPLY WITH GDPR

13. How is it treated currently?

14. How is it treated currently?…in MDE?

15. How is it treated currently?…in MDE?

16. How is it treated currently?…in MDE? Privacy and security at high-level Methodological approaches Access control policy solutions Mont, M.C., Pearson, S., Creese, S., Goldsmith, M., Papanikolaou, N.: A Conceptual Model for Privacy Policies with Consent and Revocation Requirements Allison, D.S., Yamany, H.F.E., Capretz, M.A.M.: Metamodel for privacy policies within SOA Busch, M.: Evaluating & engineering: an approach for the development of secure web applications Basso, T., Montecchi, L., Moraes, R., Jino, M., Bondavalli, A.: Towards a UML profile for privacy-aware applications Ahmadian, A.S., Peldszus, S., Ramadan, Q., Jürjens, J.: Model-based privacy and security analysis with carisma Ahmadian, A.S., Strüber, D., Riediger, V., Jürjens, J.: Model-based privacy analysis in industrial ecosystems Alshammari, M., Simpson, A.: A UML profile for privacy-aware data lifecycle models XACML, PRBAC, UMLSec, Ponder

17. Unsplash/david-iskander Our Proposal

18. Example

19. Example

20. A profile for privacy enforcement

21. A profile for privacy enforcement

22. A profile for privacy enforcement

23. A profile for privacy enforcement

24. A profile for privacy enforcement

25. A profile for privacy enforcement

26. A profile for privacy enforcement

27. Example with our profile

28. Conclusion • Profile to specify privacy • Models annotated with the profile can promote privacy enforcement What we have shown What we want to do next Application to specific fields Promoting Open Data

29. Challenges Flickr/TimPainter

30. How to add this information to existing methodologies? …how we can leverage existing model-based approaches? …how hard would it be? #1 #2 How to convince organizations to annotate their data? …are they actually concerned? …would they see it as beneficial? #3 Is it posible to automatically annotate existing models with privacy information? …are there some guidelines? #4 How to mix data with different privacy enforcement definitions? …how to deal with UML Class associations? …what happens when dealing with other UML diagrams?

31. Except where otherwise noted, content on this presentation is licensed under a Creative Commons Attribution 4.0 International license. Thanks! Javier L. Cánovas Izquierdo jcanovasi@uoc.edu @jlcanovas Julian Salas jsalapi@uoc.edu

A UML Profile for Privacy Enforcement

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