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Privacy PatternsPrivacy design patterns for software engineering
http://www.privacypatterns.org/
Privacy design patterns for software engineering
http://www.privacypatterns.org/
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Privacy Patterns | privacypatterns.org Reviews
https://privacypatterns.org
Privacy design patterns for software engineering
privacypatterns.org
Patterns - Privacy Patterns
https://www.privacypatterns.org/patterns
Provide an ambient notice (unobtrusive, non-modal) when location is being accessed to increase awareness of ongoing tracking. Strip potentially sensitive metadata that isnt directly visible to the end user. Active broadcast of presence. Users may choose actively when they want to share presence information, to increase both the relevance of, and control over, sharing. Encryption with user-managed keys. Handling unusual account activities with multiple factors. Read our privacy and contribution policy.
About - Privacy Patterns
https://www.privacypatterns.org/about
Privacy represents a broad variety of concerns — subjective, contextual, hard-to-define — that real people have about the flows of personal information. Location-based services provide a key example: a growing field that uses potentially sensitive data, where adoption has been held back by privacy concerns. How can problems be elegantly anticipated early in the development process? Standardize language for privacy-preserving technologies. Document common solutions to privacy problems. And built this site.
Strip Invisible Metadata - Privacy Patterns
https://www.privacypatterns.org/patterns/Strip-invisible-metadata
Uploading images to twitter.com. Hiding EXIF data on Flickr.com. When a service requires a user to import data from external sources (eg. pictures, tweets, documents) different types of metadata may be transmitted. Users may not be aware of the metadata as it can be automatically generated or not directly visible. Services might be inadvertently responsible for exposing private metadata, or going against users' expectations. To summarize: user metadata that can not be made visible to users clearly should...
Active broadcast of presence - Privacy Patterns
https://www.privacypatterns.org/patterns/Active-broadcast-of-presence
Active broadcast of presence. Enable sharing of location or presence data where the user controls the timing and context. When a user wants to share or broadcast location or other presence data that is contextually relevant and a full stream of data may be either noisy or intrusive. How can a system broadcast a user's presence or location information to a social network without revealing sensitive locations or location histories or overwhelming recipients with noisy data?
Policies - Privacy Patterns
https://www.privacypatterns.org/about/policy
We want privacypatterns.org to act itself as a model for privacy on the Web. Privacypatterns.org only collects information about visitors for debugging and analytical purposes and when users actively contribute content to the site. Our servers run on Amazon Web Services. In the United States; we configure our Web server to retain protocol logs only in the case of errors or active debugging. We use Google Analytics. Collaboration on the content of privacypatterns.org is done via Github. Finally, we welcom...
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npd
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Skip to main content. Grad student at UC Berkeley, School of Information. I work on Web privacy. Of these four Netflix-original comedies, set in the greater Los Angeles area, where the protagonists struggle with a particularly modern form of depression consisting in substance abuse problems and obsession with both accomplishment and certain negative episodes from their past that prevent them from being open to new romantic relationships . Flaked (2016, Will Arnett). Love (2016, Gillian Jacobs). Google is...
npdoty
http://known.npdoty.name/content/posts
Skip to main content. Grad student at UC Berkeley, School of Information. I work on Web privacy. Of these four Netflix-original comedies, set in the greater Los Angeles area, where the protagonists struggle with a particularly modern form of depression consisting in substance abuse problems and obsession with both accomplishment and certain negative episodes from their past that prevent them from being open to new romantic relationships . Flaked (2016, Will Arnett). Love (2016, Gillian Jacobs). Google is...
npdoty
http://known.npdoty.name/content/all
Skip to main content. Grad student at UC Berkeley, School of Information. I work on Web privacy. Of these four Netflix-original comedies, set in the greater Los Angeles area, where the protagonists struggle with a particularly modern form of depression consisting in substance abuse problems and obsession with both accomplishment and certain negative episodes from their past that prevent them from being open to new romantic relationships . Flaked (2016, Will Arnett). Love (2016, Gillian Jacobs). Google is...
Pokémon and permissions
http://known.npdoty.name/2016/pokémon-and-permissions
Skip to main content. Pokémon and permissions. How many things can you find wrong with this image? It's the very first screen you see when you open the PokémonGO app for the first time. 1 Asking for location immediately upon first launch. 2 No explanation or context. Why do they need it? How long will they keep the data? With whom will they share it? They also provide a utility function to make it easier to only provide that rationale if the user has already denied permission on a previous request:.
Resources | The path from thought to the 'dry', 'sec' essence
https://drisec.com/resources
The path from thought to the 'dry', 'sec' essence. Skip to primary content. With this section, drisec.com provides you with some indispensable resources for reference. Major Influences. An Introduction to Software Architecture. Garlan, David ; Shaw, Mary Carnegie Mellon University January 1994. Software Architecture: Perspectives on an Emerging Discipline. Shaw, Mary ; Garlan, David Prentice Hall 1996 ISBN: 978-0131829572. Rozanski, Nick ; Woods, Eóin Addison-Wesley 2011 – ISBN: 978-0321718334. Avgeriou,...
networkedprivacy2016.wordpress.com
Theme – Bridging the Gap between Privacy by Design and Privacy in Practice
https://networkedprivacy2016.wordpress.com/theme
Bridging the Gap between Privacy by Design and Privacy in Practice. Workshop at CHI 2016. Previous workshops, paper sessions, and panels at CHI and CSCW have addressed a variety of debates in networked privacy scholarship (e.g., privacy workshops at CHI 2011. And at CSCW 2011. This workshop foregrounds the challenges of advocating for PbD in commercial contexts, and brings together designers and technologists with PbD experts in academia to break down barriers to PbD’s widespread adoption by industry.
News | PRIPARE - PReparing Industry to Privacy-by-design by Supporting its Application in REsearch | PReparing Industry to Privacy-by-design by Supporting its Application in REsearch
http://pripareproject.eu/news-2
Rivacy-by-design by supporting its A. What is a privacy pattern? New post by Henning Kopp. December 3, 2015. Henning Kopp, Ulm, has published a new blog post on the Security Engineering Forum, focusing on: what is a privacy pattern? The blog post is available at: http:/ www.securityengineeringforum.org/blog. Call for papers: Second IEEE International Workshop on Privacy Engineering (IWPE’16). November 26, 2015. Privacy by Design: why is there a gap between theory and practice? New post by Carmela Troncoso.
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privacypartnershipblog.wordpress.com
Privacy Partnership Blog www.privacypartnership.com | The Privacy Partnership – Your partners in data privacy compliance
Privacy Partnership Blog www.privacypartnership.com. The Privacy Partnership – Your partners in data privacy compliance. August 11, 2015. Seven things security experts do to keep safe online. Cybersecurity experts aren’t like you or I, and now we have the evidence to prove it. Researchers at Google interviewed. More than 200 experts to find out what security practices they actually carry out online, and then spoke to almost 300 non-experts to find out how they differ. So what do the experts do? There is ...
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Privacy Patriots – The Official Podcast of Restore the Fourth
The Official Podcast of Restore the Fourth. The Official Podcast of Restore the Fourth. December 5, 2016. December 8, 2016. Episode 3 GUEST: Zaki Manian, Restore the 4th San Francisco. November 19, 2016. November 22, 2016. Episode 2 – Patriots and Pariahs – GUEST: Rashida Richardson, NYCLU. October 29, 2016. November 22, 2016. Episode 1 – Inaugural Podcast. July 23, 2016. November 2, 2016. Episode 0 – Radio Statler @HOPE XI. Bill of Rights Defense Committee. Off the Hook (2600). 2017 Restore the Fourth.
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Privacy Patterns
Privacy patterns are design solutions to common privacy problems — a way to translate "privacy-by-design" into practical advice for software engineering. We believe design patterns can help. A living, community space. Where all can contribute their own patterns. Learn More ». Browse Patterns ». A privacy policy which is hard to understand is in an automated way converted into a more easy to read format. Informed Consent for Web-based Transactions. Read our privacy and contribution policy.
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PrivacyPerfect is the ultimate GDPR compliance toolkit
Skip to main content. One stop GDPR compliance solution. Join our next webinar! And learn more about our one stop GDPR tool. 17 Apr / 11:00 am CE(S)T. Learn more about our one-stop GDPR compliance tool. Join us for a 30-min webinar! With our easy-to-use tool, we help your organization administrate all of your privacy records, such as processing, assessments and data breaches. We want to help your organization to comply with GDPR. Subscribe to our newsletter. Enter the result (E.g. 1 3 = 4). With our easy...
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