Mobile Solutions and Privacy – Not One at the Expense of the Otherbradley_g
This document outlines Ann Cavoukian's presentation on mobile solutions and privacy. It discusses the principles of Privacy by Design and how they can be applied to ensure privacy protections are built into mobile technologies from the start. This includes recommendations for device manufacturers, network providers, and application developers to embed privacy into mobile communications solutions through practices like encryption by default and transparency. The presentation also describes companies like CryptoMill and SecureKey that provide encryption and identity solutions reflecting Privacy by Design.
Privacy by Design as a system design strategy - EIC 2019 Sagara Gunathunga
1) Privacy by Design (PbD) is an approach to system design that emphasizes privacy and data protection through the entire lifecycle. The 7 PbD principles include making privacy the default, embedding privacy into design, and keeping systems user-centric and transparent.
2) To apply PbD, personal data should be separated from other business data and stored securely in a separate system. Standard protocols like SAML and OAuth2 should be used to share personal data securely.
3) When designing a personal data repository, transparency, data minimization, and giving users control over their data through a self-care portal are important considerations.
Privacy by Design - taking in account the state of the artJames Mulhern
Establishing transparency and building trust provide an opportunity to develop greater, more meaningful relationships with data subjects i.e people, customers, colleagues... in turn this can lead to more effective and valuable services that help transform organisations.
A "Privacy by design" approach can help achieve this but it doesn't happen by accident and transformation doesn't occur over night. So a deliberate approach that looks beyond May 2018 and compliance is required.
Presentation to representatives from the technology and Local Government sectors at TechUK, the UK's trade association for the technology.
Privacy by Design and by Default + General Data Protection Regulation with Si...Peter Procházka
My presentation for SUG Hungary presented on 26.06.2018 with topic Privacy by Design and by Default and General Data Protection Regulation with Sitecore
Privacy and Security by Design Spotlight Presentation at HIMMS Privacy and Security Forum, December 5th 2016. Presented by Jeff R. Livingstone, PhD, Vice President and Global Lead, Life Sciences & Healthcare, Unisys Corporation.
Originally presented at PRIMMA mobile privacy workshop, Imperial College London, 23 Sep 2010. Updated version given at Security and Privacy in Implantable Medical Devices workshop, EPFL, 1 April 2011, and a German Academy of Engineering conference in Berlin on 26 March 2012. Compact version given at Urban Prototyping conference, Imperial College London, 9 April 2013. Updated with ENISA privacy engineering report for 3rd Latin American Data Protection conference in Medellin, 28-29 May 2015.
Mobile Solutions and Privacy – Not One at the Expense of the Otherbradley_g
This document outlines Ann Cavoukian's presentation on mobile solutions and privacy. It discusses the principles of Privacy by Design and how they can be applied to ensure privacy protections are built into mobile technologies from the start. This includes recommendations for device manufacturers, network providers, and application developers to embed privacy into mobile communications solutions through practices like encryption by default and transparency. The presentation also describes companies like CryptoMill and SecureKey that provide encryption and identity solutions reflecting Privacy by Design.
Privacy by Design as a system design strategy - EIC 2019 Sagara Gunathunga
1) Privacy by Design (PbD) is an approach to system design that emphasizes privacy and data protection through the entire lifecycle. The 7 PbD principles include making privacy the default, embedding privacy into design, and keeping systems user-centric and transparent.
2) To apply PbD, personal data should be separated from other business data and stored securely in a separate system. Standard protocols like SAML and OAuth2 should be used to share personal data securely.
3) When designing a personal data repository, transparency, data minimization, and giving users control over their data through a self-care portal are important considerations.
Privacy by Design - taking in account the state of the artJames Mulhern
Establishing transparency and building trust provide an opportunity to develop greater, more meaningful relationships with data subjects i.e people, customers, colleagues... in turn this can lead to more effective and valuable services that help transform organisations.
A "Privacy by design" approach can help achieve this but it doesn't happen by accident and transformation doesn't occur over night. So a deliberate approach that looks beyond May 2018 and compliance is required.
Presentation to representatives from the technology and Local Government sectors at TechUK, the UK's trade association for the technology.
Privacy by Design and by Default + General Data Protection Regulation with Si...Peter Procházka
My presentation for SUG Hungary presented on 26.06.2018 with topic Privacy by Design and by Default and General Data Protection Regulation with Sitecore
Privacy and Security by Design Spotlight Presentation at HIMMS Privacy and Security Forum, December 5th 2016. Presented by Jeff R. Livingstone, PhD, Vice President and Global Lead, Life Sciences & Healthcare, Unisys Corporation.
Originally presented at PRIMMA mobile privacy workshop, Imperial College London, 23 Sep 2010. Updated version given at Security and Privacy in Implantable Medical Devices workshop, EPFL, 1 April 2011, and a German Academy of Engineering conference in Berlin on 26 March 2012. Compact version given at Urban Prototyping conference, Imperial College London, 9 April 2013. Updated with ENISA privacy engineering report for 3rd Latin American Data Protection conference in Medellin, 28-29 May 2015.
This document provides an overview of privacy by design principles and considerations under privacy law, particularly the GDPR. It begins with introductions and an outline of topics to be covered. It then discusses the fundamentals of privacy by design, including its definition, benefits, and the 7 core principles. It covers key legal considerations around personal data, notice and consent requirements, purpose limitations, and individual rights. Practical applications are discussed, including privacy impact assessments and implementing privacy and security by design in product and system designs. Examples are provided of Google's privacy notices and consent mechanisms.
This document discusses privacy by design principles for software development. It outlines key concepts like data subjects, controllers, processors and regulators. The 7 guiding principles of privacy by design are described. Implementation considerations include legal requirements for data transfers, privacy policies, impact assessments and training. Typical privacy issues for mobile/web apps are listed. Examples of implementation include opt-in mechanisms and restricting data access. Working with providers outside the EU poses high risks of non-compliance.
The document discusses how big data, increased data volumes, and weaknesses in security present a "perfect storm" risk scenario. It notes that while big data deployments are growing fast to realize business value, security is often not properly prioritized or implemented. This can allow breaches to go undetected. The document also outlines how data sources and volumes are expanding dramatically, while relevant security skills remain limited. Overall it argues that the confluence of these factors poses significant security challenges for organizations working with big data.
Ryerson’s Privacy and Big Data Institute's inaugural seminar on Privacy by Design (PbD), the revolutionary privacy framework created by Dr. Ann Cavoukian which was unanimously passed as an international privacy standard in 2010 (translated into 37 languages). Dr. Cavoukian is now the Executive Director of the Privacy and Big Data Institute at Ryerson, and formerly served as the Information and Privacy Commissioner of Ontario for three terms. Dr. Cavoukian gave a presentation on Privacy by Design and its application to big data analytics, followed by a Q&A session.
Big data contains valuable information— some of it sensitive customer data—that can be a honeypot for internal and external attackers. Given the risk involved, organizations must proactively enhance defenses and prevent data breaches. The four steps outlined in this deck, help organizations to develop a holistic approach to data security and privacy.
Cross border - off-shoring and outsourcing privacy sensitive dataUlf Mattsson
Ulf Mattsson is the CTO of Protegrity, with over 20 years of experience in research and development and global services at IBM. He has been involved in developing encryption, tokenization, and intrusion prevention technologies. The document discusses cross-border offshoring and outsourcing of privacy sensitive data in the cloud. It notes that cloud services are often provided by third parties and can involve data being stored in multiple locations. Regulations like PCI DSS and national privacy laws apply when data crosses borders or is outsourced. Sensitive data needs to be protected to comply with regulations and address threats while also enabling useful insights from the data. Methods like de-identification through tokenization and encryption can protect identifiable data
Big Data Security and Privacy - Presentation to AFCEA Cyber Symposium 2014kevintsmith
In our era of “Big Data”, organizations are collecting, analyzing, and making decisions based on analysis of massive amounts of data sets from various sources, and security in this process is becoming increasingly more important. With regulations like HIPAA and other privacy protection laws, securing access and determining releasability of data sets is critical. Organizations using Big Data Analytics solutions face challenges, as most of today’s solutions were not designed with security in mind. This presentation focuses on challenges, use cases, and practical real-world solutions related to securing and preserving privacy in Big Data Analytics solutions, addressing authorization, differential privacy, and more.
Towards Privacy by Design. Key issues to unlock science.Marlon Domingus
This document discusses key issues related to privacy by design in open science. It outlines five main topics: attitude and trust, the researcher, maturity models as time machines, new roles and collaborations, and context and framing. Under each topic, the document provides further details on issues like soft vs hard law, the researcher's context and responsibilities, maturity models for legal research support, and new roles that can help ensure privacy by design. The overall aim is to help unlock science while addressing privacy through collaborative and contextual approaches.
GDPR FTW, or, How I Learned to Stop Worrying and Love Privacy By DesignJohn Eckman
At the start, the web was purely stateless – every request was the beginning (and every response the end) of a new conversation. Then we got cookies, so that servers could remember clients, and SSL so we could share information with servers that wasn't seen by all the servers it passed through en route. These two technologies enabled e-commerce and are so foundational now it is hard to imagine the web without them. The problem is the way we'e evolved the web has been down a path of increasingly aggressive data collection and reduced transparency for users.
We should have always been doing privacy by design, data portability, data transparency, and the right to be forgotten. We should not have become dependent on invasive ad tech and aggregated third-party data; we should not have handed over ownership of our own social graphs and connections so cheaply to private commercial interests.
While many (particularly in the US) may be uncomfortable with the legalistic and regulatory approach, preferring a more laissez-faire, self-governing model for virtually everything, the GDPR can be seen as an opportunity to start doing things right – applying the core principles of privacy by design not just where mandated by regulation but as a standard business practice.
The REAL Impact of Big Data on PrivacyClaudiu Popa
The awesome promise of Big Data is tempered by the need to protect personal information. Data scientists must expertly navigate the legislative waters and acquire the skills to protect privacy and security. This talk provides enterprise leaders with answers and suggests questions to ask when the time comes to consider the vast opportunities offered by big data.
Privacy by design for startups: legal and technologyIshay Tentser
This document discusses privacy by design principles for software development. It outlines key concepts like data subjects, personal data, controllers and processors. The 7 guiding principles of privacy by design are described. Implementation considerations are given for legal issues like using third parties and technical issues like privacy policies and impact assessments. Case studies show privacy lawsuits in Israel and other countries. The challenges of ensuring privacy compliance when using providers outside the EU are also discussed.
Some basic security controls you can (and should) implement in your web apps. Specifically this covers:
1 - Beyond SQL injection
2 - Cross-site Scripting
3 - Access Control
The Internet Services, Web and Mobile Applications, Pervasive Communication widely available today that are meeting many of our needs have stimulated production of tremendous amounts of data (call metadata, texts, emails, social media updates, photos, videos, location, etc.). The computing power available today in conjunction with trending technologies like Data Mining and Analytics, Machine Learning and Computational Linguistics provide an opportunity business and government organizations to manage, search, analyze, and visualize vast amount of data as information.
Companies named data brokers collect consumer data including behavioral and private and then sell to companies those use this data for personalized marketing and selling. There is no doubt that this is good for businesses, but is this same good for consumers? Is this just positively affects buying experience of customers? How much does reliable this kind data event for companies? How to keep a balance between new opportunities derived by Big Data to companies and privacy concern it brings to consumers?
In proposed speech we will try to find out some of the answers to these and other questions.
How privacy by design can be the key of your success at the time of the digit...Giulio Coraggio
Privacy by design is crucial to adapt the GDPR compliance strategy of copmpanies to new technologies whose evolution will be frenetic at the time of the digitalization.
The document discusses mobile devices and the Internet of Things (IoT). It provides examples of IoT applications like smart homes, connected cars, smart buildings, and addressable medical devices. It notes both the promise and challenges of IoT regarding privacy and security. The document outlines a framework for analyzing IoT privacy sensitivity based on the level of direct action, decision making, and information sharing involved. It provides tips for successful IoT development, including mapping information flows, understanding rights and obligations, employing data minimization, conducting privacy and security assessments, and avoiding being "creepy." Resources on IoT privacy and security from organizations like the FTC, FDA, and EU are also cited.
Big Data is the "next" Bg Technology and Business and Hadoop is one of the important framework of Big Data. Hadoop is currently used by Yahoo, EBay and 100s of organisations.
As the Big Data use cases will grow, security of Big Data technologies, solutions and applications will become extremely important. In this presentation, I have described top 5 key security challenges related to developing Big Data solutions and applications.
Big data security challenges and recommendations!cisoplatform
What will you learn:
- Key Insights on Existing Big Data Architecture
- Unique Security Risks and Vulnerabilities of Big Data Technologies
- Top 5 Solutions to mitigate these security challenges
How to keep out of trouble with GDPR: The case of Facebook, Google and ExperianPECB
Short description:
In this webinar, we will be exploring the current trends, predictions and other things of relevance to GDPR enforcement. Further, we will touch on the big fines such as Facebook, Google, Experian as well as guide you how to stay out of trouble with the regulation.
Main points covered:
• A summary of ICO enforcement action in the UK over the past 12 months
• What organizations got wrong?
• The big fines – Facebook and Experian
• Trends and predictions
• How to keep out of trouble with the regulator
Presenter:
Our presenter for this webinar, James Castro-Edwards is a partner and Head of Data Protection at Wedlake Bell LLP. James advises domestic and multinational organizations on data protection issues. His experience includes managing global data protection compliance projects for multinationals and advising domestic companies on complex data protection issues. He has also developed and delivered innovative data protection training programs for multinational clients, including a data protection officers’ training course which was accredited by a European government. James leads the firm’s outsourced data protection officer service, ProDPO.
James frequently speaks on data protection and cybersecurity issues and is widely published, having written articles for a wide variety of titles including The Times and The Guardian, and wrote The Law Society textbook on the General Data Protection Regulation (GDPR).
Recorded Webinar: https://youtu.be/QAF1XXTBFyg
Say Good-Bye to Zero-Sum: Say Hello to Privacy and Marketing, by Designbradley_g
A presentation by Commissioner Cavoukian to the Canadian Institute Advertising and Marketing Law Conference on how Privacy by Design can give a sustainable competitive advantage in advertising and marketing.
This document provides an overview of privacy by design principles and considerations under privacy law, particularly the GDPR. It begins with introductions and an outline of topics to be covered. It then discusses the fundamentals of privacy by design, including its definition, benefits, and the 7 core principles. It covers key legal considerations around personal data, notice and consent requirements, purpose limitations, and individual rights. Practical applications are discussed, including privacy impact assessments and implementing privacy and security by design in product and system designs. Examples are provided of Google's privacy notices and consent mechanisms.
This document discusses privacy by design principles for software development. It outlines key concepts like data subjects, controllers, processors and regulators. The 7 guiding principles of privacy by design are described. Implementation considerations include legal requirements for data transfers, privacy policies, impact assessments and training. Typical privacy issues for mobile/web apps are listed. Examples of implementation include opt-in mechanisms and restricting data access. Working with providers outside the EU poses high risks of non-compliance.
The document discusses how big data, increased data volumes, and weaknesses in security present a "perfect storm" risk scenario. It notes that while big data deployments are growing fast to realize business value, security is often not properly prioritized or implemented. This can allow breaches to go undetected. The document also outlines how data sources and volumes are expanding dramatically, while relevant security skills remain limited. Overall it argues that the confluence of these factors poses significant security challenges for organizations working with big data.
Ryerson’s Privacy and Big Data Institute's inaugural seminar on Privacy by Design (PbD), the revolutionary privacy framework created by Dr. Ann Cavoukian which was unanimously passed as an international privacy standard in 2010 (translated into 37 languages). Dr. Cavoukian is now the Executive Director of the Privacy and Big Data Institute at Ryerson, and formerly served as the Information and Privacy Commissioner of Ontario for three terms. Dr. Cavoukian gave a presentation on Privacy by Design and its application to big data analytics, followed by a Q&A session.
Big data contains valuable information— some of it sensitive customer data—that can be a honeypot for internal and external attackers. Given the risk involved, organizations must proactively enhance defenses and prevent data breaches. The four steps outlined in this deck, help organizations to develop a holistic approach to data security and privacy.
Cross border - off-shoring and outsourcing privacy sensitive dataUlf Mattsson
Ulf Mattsson is the CTO of Protegrity, with over 20 years of experience in research and development and global services at IBM. He has been involved in developing encryption, tokenization, and intrusion prevention technologies. The document discusses cross-border offshoring and outsourcing of privacy sensitive data in the cloud. It notes that cloud services are often provided by third parties and can involve data being stored in multiple locations. Regulations like PCI DSS and national privacy laws apply when data crosses borders or is outsourced. Sensitive data needs to be protected to comply with regulations and address threats while also enabling useful insights from the data. Methods like de-identification through tokenization and encryption can protect identifiable data
Big Data Security and Privacy - Presentation to AFCEA Cyber Symposium 2014kevintsmith
In our era of “Big Data”, organizations are collecting, analyzing, and making decisions based on analysis of massive amounts of data sets from various sources, and security in this process is becoming increasingly more important. With regulations like HIPAA and other privacy protection laws, securing access and determining releasability of data sets is critical. Organizations using Big Data Analytics solutions face challenges, as most of today’s solutions were not designed with security in mind. This presentation focuses on challenges, use cases, and practical real-world solutions related to securing and preserving privacy in Big Data Analytics solutions, addressing authorization, differential privacy, and more.
Towards Privacy by Design. Key issues to unlock science.Marlon Domingus
This document discusses key issues related to privacy by design in open science. It outlines five main topics: attitude and trust, the researcher, maturity models as time machines, new roles and collaborations, and context and framing. Under each topic, the document provides further details on issues like soft vs hard law, the researcher's context and responsibilities, maturity models for legal research support, and new roles that can help ensure privacy by design. The overall aim is to help unlock science while addressing privacy through collaborative and contextual approaches.
GDPR FTW, or, How I Learned to Stop Worrying and Love Privacy By DesignJohn Eckman
At the start, the web was purely stateless – every request was the beginning (and every response the end) of a new conversation. Then we got cookies, so that servers could remember clients, and SSL so we could share information with servers that wasn't seen by all the servers it passed through en route. These two technologies enabled e-commerce and are so foundational now it is hard to imagine the web without them. The problem is the way we'e evolved the web has been down a path of increasingly aggressive data collection and reduced transparency for users.
We should have always been doing privacy by design, data portability, data transparency, and the right to be forgotten. We should not have become dependent on invasive ad tech and aggregated third-party data; we should not have handed over ownership of our own social graphs and connections so cheaply to private commercial interests.
While many (particularly in the US) may be uncomfortable with the legalistic and regulatory approach, preferring a more laissez-faire, self-governing model for virtually everything, the GDPR can be seen as an opportunity to start doing things right – applying the core principles of privacy by design not just where mandated by regulation but as a standard business practice.
The REAL Impact of Big Data on PrivacyClaudiu Popa
The awesome promise of Big Data is tempered by the need to protect personal information. Data scientists must expertly navigate the legislative waters and acquire the skills to protect privacy and security. This talk provides enterprise leaders with answers and suggests questions to ask when the time comes to consider the vast opportunities offered by big data.
Privacy by design for startups: legal and technologyIshay Tentser
This document discusses privacy by design principles for software development. It outlines key concepts like data subjects, personal data, controllers and processors. The 7 guiding principles of privacy by design are described. Implementation considerations are given for legal issues like using third parties and technical issues like privacy policies and impact assessments. Case studies show privacy lawsuits in Israel and other countries. The challenges of ensuring privacy compliance when using providers outside the EU are also discussed.
Some basic security controls you can (and should) implement in your web apps. Specifically this covers:
1 - Beyond SQL injection
2 - Cross-site Scripting
3 - Access Control
The Internet Services, Web and Mobile Applications, Pervasive Communication widely available today that are meeting many of our needs have stimulated production of tremendous amounts of data (call metadata, texts, emails, social media updates, photos, videos, location, etc.). The computing power available today in conjunction with trending technologies like Data Mining and Analytics, Machine Learning and Computational Linguistics provide an opportunity business and government organizations to manage, search, analyze, and visualize vast amount of data as information.
Companies named data brokers collect consumer data including behavioral and private and then sell to companies those use this data for personalized marketing and selling. There is no doubt that this is good for businesses, but is this same good for consumers? Is this just positively affects buying experience of customers? How much does reliable this kind data event for companies? How to keep a balance between new opportunities derived by Big Data to companies and privacy concern it brings to consumers?
In proposed speech we will try to find out some of the answers to these and other questions.
How privacy by design can be the key of your success at the time of the digit...Giulio Coraggio
Privacy by design is crucial to adapt the GDPR compliance strategy of copmpanies to new technologies whose evolution will be frenetic at the time of the digitalization.
The document discusses mobile devices and the Internet of Things (IoT). It provides examples of IoT applications like smart homes, connected cars, smart buildings, and addressable medical devices. It notes both the promise and challenges of IoT regarding privacy and security. The document outlines a framework for analyzing IoT privacy sensitivity based on the level of direct action, decision making, and information sharing involved. It provides tips for successful IoT development, including mapping information flows, understanding rights and obligations, employing data minimization, conducting privacy and security assessments, and avoiding being "creepy." Resources on IoT privacy and security from organizations like the FTC, FDA, and EU are also cited.
Big Data is the "next" Bg Technology and Business and Hadoop is one of the important framework of Big Data. Hadoop is currently used by Yahoo, EBay and 100s of organisations.
As the Big Data use cases will grow, security of Big Data technologies, solutions and applications will become extremely important. In this presentation, I have described top 5 key security challenges related to developing Big Data solutions and applications.
Big data security challenges and recommendations!cisoplatform
What will you learn:
- Key Insights on Existing Big Data Architecture
- Unique Security Risks and Vulnerabilities of Big Data Technologies
- Top 5 Solutions to mitigate these security challenges
How to keep out of trouble with GDPR: The case of Facebook, Google and ExperianPECB
Short description:
In this webinar, we will be exploring the current trends, predictions and other things of relevance to GDPR enforcement. Further, we will touch on the big fines such as Facebook, Google, Experian as well as guide you how to stay out of trouble with the regulation.
Main points covered:
• A summary of ICO enforcement action in the UK over the past 12 months
• What organizations got wrong?
• The big fines – Facebook and Experian
• Trends and predictions
• How to keep out of trouble with the regulator
Presenter:
Our presenter for this webinar, James Castro-Edwards is a partner and Head of Data Protection at Wedlake Bell LLP. James advises domestic and multinational organizations on data protection issues. His experience includes managing global data protection compliance projects for multinationals and advising domestic companies on complex data protection issues. He has also developed and delivered innovative data protection training programs for multinational clients, including a data protection officers’ training course which was accredited by a European government. James leads the firm’s outsourced data protection officer service, ProDPO.
James frequently speaks on data protection and cybersecurity issues and is widely published, having written articles for a wide variety of titles including The Times and The Guardian, and wrote The Law Society textbook on the General Data Protection Regulation (GDPR).
Recorded Webinar: https://youtu.be/QAF1XXTBFyg
Say Good-Bye to Zero-Sum: Say Hello to Privacy and Marketing, by Designbradley_g
A presentation by Commissioner Cavoukian to the Canadian Institute Advertising and Marketing Law Conference on how Privacy by Design can give a sustainable competitive advantage in advertising and marketing.
This document discusses different types of market structures: pure competition, monopoly, monopolistic competition, and oligopoly. It provides key characteristics of each structure, including the number and size of buyers and sellers, product differentiation, barriers to entry/exit, and pricing behavior. Pure competition has many small firms and sellers producing homogeneous products. A monopoly has a single seller of unique products with no close substitutes. Monopolistic competition features many firms making differentiated products. Oligopoly involves a small number of large firms producing standardized or differentiated goods.
http://inarocket.com
Learn BEM fundamentals as fast as possible. What is BEM (Block, element, modifier), BEM syntax, how it works with a real example, etc.
Lightning Talk #9: How UX and Data Storytelling Can Shape Policy by Mika Aldabaux singapore
How can we take UX and Data Storytelling out of the tech context and use them to change the way government behaves?
Showcasing the truth is the highest goal of data storytelling. Because the design of a chart can affect the interpretation of data in a major way, one must wield visual tools with care and deliberation. Using quantitative facts to evoke an emotional response is best achieved with the combination of UX and data storytelling.
The document discusses how personalization and dynamic content are becoming increasingly important on websites. It notes that 52% of marketers see content personalization as critical and 75% of consumers like it when brands personalize their content. However, personalization can create issues for search engine optimization as dynamic URLs and content are more difficult for search engines to index than static pages. The document provides tips for SEOs to help address these personalization and SEO challenges, such as using static URLs when possible and submitting accurate sitemaps.
This document summarizes a study of CEO succession events among the largest 100 U.S. corporations between 2005-2015. The study analyzed executives who were passed over for the CEO role ("succession losers") and their subsequent careers. It found that 74% of passed over executives left their companies, with 30% eventually becoming CEOs elsewhere. However, companies led by succession losers saw average stock price declines of 13% over 3 years, compared to gains for companies whose CEO selections remained unchanged. The findings suggest that boards generally identify the most qualified CEO candidates, though differences between internal and external hires complicate comparisons.
The document discusses the importance of protecting personal privacy in the development of smart grid technologies through an approach called "Privacy by Design", which embeds privacy into new technologies from the initial design stage. It notes that gaining consumer trust will be essential for smart grid initiatives to succeed, as many consumers are currently wary about privacy risks, and outlines seven foundational principles of Privacy by Design.
The document discusses the importance of protecting personal privacy in the development of smart grid technologies through an approach called "Privacy by Design". It advocates embedding privacy protections from the start of new projects rather than as an afterthought. Specifically, it argues that energy consumers should control information about their own energy usage even if not legally required to build confidence in smart grid systems.
The Accidental Cloud: Privacy and Security Issues in a BYOD Worldmkeane
The document discusses the growing trend of employees using mobile devices and cloud services for both personal and work purposes. It notes that this "accidental cloud" means employers have little control over company data stored externally by third parties. The document recommends that employers establish clear BYOD and data security policies to manage risks and privacy issues related to dual-use devices and cloud data storage.
The document provides an overview of key aspects of the General Data Protection Regulation (GDPR) for web developers. It discusses GDPR requirements around personal data, privacy by design, cookies, and privacy notices. The GDPR strengthens data protection for all individuals within the EU and emphasizes transparency about how personal data is collected and used. It requires companies to implement privacy-by-design, obtain consent for data uses, provide privacy notices, and give users control and access to their personal information. The document advises web developers to carefully consider their role in collecting, storing, and processing personal data in accordance with GDPR principles and requirements.
This document discusses privacy enhancing technologies and how to become a responsible data handler. It outlines the 7 principles of "Privacy by Design" which aim to embed privacy into system design from the start. Examples are given of how these principles can be applied, such as having a privacy expert on the design team, making privacy the default setting, and ensuring transparency. Benefits discussed include increased customer trust, profits, and insights. Trends in privacy research like differential privacy and artificial data are also mentioned. The overall message is that privacy should be seen as an opportunity rather than a hindrance.
Security Management in Cloud Computing by Shivani Gogia - Aravali College of ...acemindia
This document discusses security management in cloud computing. It addresses two key questions - what security controls must customers provide in addition to those of the cloud platform, and how must an enterprise's security tools and processes adapt to manage security in the cloud. It covers security monitoring and management services, information security for data and infrastructure, common security standards like ISO 27001 and 27002, and how security management differs in the cloud compared to traditional IT environments. It also discusses privacy issues like auditing, breaches, compliance and the data lifecycle involving generation, use, transformation, storage, archival and destruction of data in the cloud.
This document summarizes a presentation about privacy and cloud computing. It discusses the benefits and risks of cloud computing, as well as the importance of privacy by design and accountability. Key points include that while cloud services can be outsourced, accountability cannot. Organizations must conduct due diligence on cloud providers and ensure proper contractual provisions through a privacy by design approach.
Dive deeper into the importance of privacy policies, their benefits for businesses, the potential penalties for inadequate policies, and the most efficient way to deploy them on websites. Read Guide: https://securiti.ai/what-is-a-privacy-policy/
Internet of Things With Privacy in MindGosia Fraser
This document discusses privacy considerations for Internet of Things devices. It notes that IoT devices collect personal data that, even when fragmented, can reveal sensitive information when aggregated and analyzed. Many IoT manufacturers do not adequately explain how they collect, use, store, and allow deletion of personal information. The document advocates adopting privacy by design principles to build privacy protections into IoT technologies from the early stages of development through privacy impact assessments and data protection impact assessments. This helps understand privacy needs, shape better policies, and improve transparency while demonstrating adherence to high data protection standards.
The document discusses several IEEE standards related to ethics in technology design: P7000 addresses ethical concerns in system design; P7001 focuses on transparency of autonomous systems; P7002 is about data privacy processes. It also mentions principles of Privacy by Design and responsibilities of data controllers, including obtaining consent, ensuring accuracy of data, protecting data, and responding to access requests.
Lee Rainie, Director of Internet, Science, and Technology research at the Pew Research Center, presented this material on December 12, 2016 to a working group at the National Academy of Sciences. The group is exploring how to think about creating an academic discipline around "data science."
Big Data Expo 2015 - Data Science Innovation Privacy ConsiderationsBigDataExpo
Data science techniques are capable of producing unanticipated insights from data, with many of these insights potentially crossing the boundary from personalized into intrusive and even generating PII from seemingly anonymous data. Our ability to mathematically derive insights increases with the rise of highly personalized technologies such as mobile devices,
wearables and the internet of things. At the same time, inexpensive
noSQL data stores and cloud technologies have dramatically lowered the threshold for an organization to archive Big Data “just in case”, without truly understanding the data privacy ramifications.
Beginning with an overview of the emerging field of data science, we will discuss how efforts to increasingly produce and leverage personalized
insights interplay with implicit and explicit privacy concerns. The
discussion will cover a range of analytic methodologies, data stores and data sources as well as data protection and the balance between appropriate and inappropriate personalization.
Data Privatisation, Data Anonymisation, Data Pseudonymisation and Differentia...Alan McSweeney
This document discusses various approaches to ensuring data privacy when sharing data, including anonymisation, pseudonymisation, and differential privacy. It notes that while data has value, sharing data widely raises privacy risks that these technologies can help address. The document provides an overview of each technique, explaining that anonymisation destroys identifying information while pseudonymisation and differential privacy retain reversible links to original data. It argues these technologies allow organisations to share data and realise its value while ensuring compliance with privacy laws and regulations.
Presentation on key legal issues regarding use and developments of BOTs, AI - GDPR, Data Protection. Case study BRISbot. Presentation delivered at Epicenter 30 of May 2017 in partnership with BRIS and Microsoft.
GDPR and evolving international privacy regulationsUlf Mattsson
The document discusses evolving international privacy regulations, focusing on the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA). It notes that many countries are passing new privacy laws influenced by GDPR. Technologies like data tokenization, encryption, and anonymization play an important role in complying with these regulations by protecting personal data throughout its lifecycle. The document provides examples of how technologies can be deployed across on-premises and cloud environments to ensure consistent privacy protection of data.
This document discusses privacy issues related to smart meters and the smart grid. It outlines legal problems like smart meters revealing private lifestyle information. It then discusses design responses like privacy by design and data protection by design and default. Technical options are proposed to address privacy like personal data storage and consumer control. The document reviews opinions from the Article 29 Working Party and EU recommendations. It concludes by posing questions about balancing privacy, innovation and law enforcement access to energy use data from smart meters.
Presented by: John Fleker, HP
Abstract: The cyber threat landscape is continually evolving. More and more, the critical infrastructure of our nation is at risk. Whether by nation-state actors, criminal organizations, hacktivists or any number of hackers looking to prove their skills, our safety and economic prosperity is threatened. There are four things that must be considered in order to address the evolving threats:
1- Becoming more proactive in our cyber defense efforts through intelligence
2- Better user behavior management
3- Assessing risk using meaningful metric
4- Resilience – operating through an intrusion
We need to look at the threat picture differently – in a proactive way – to ensure that CEO’s and CIO/CISO’s are on the same page regarding the threat, to allow those leaders to make better resourcing decisions and to be better prepared to mitigate adversaries when they arrive at the security perimeter. We need to integrate a wider set of intelligence into our thinking. This is critical to taking a more proactive stance in defending your networks. Combined with what you know of your own network, cyber intelligence strategically helps make solid resource planning decisions and functionally, helps your network operators better defend, mitigate and operate through cyber intrusions. The Operational Levels of Cyber Intelligence paper by the Intelligence and National Security Alliance details a better way of using intelligence.
www.insaonline.org/i/d/a/Resources/CyberIntel_WP.aspx
Additionally, we must increase info sharing across the board. Executive Order 13636 - Improving Critical Infrastructure Cybersecurity is leading critical infrastructure that direction.
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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Find out more about ISO training and certification services
Training: ISO/IEC 27001 Information Security Management System - EN | PECB
ISO/IEC 42001 Artificial Intelligence Management System - EN | PECB
General Data Protection Regulation (GDPR) - Training Courses - EN | PECB
Webinars: https://pecb.com/webinars
Article: https://pecb.com/article
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For more information about PECB:
Website: https://pecb.com/
LinkedIn: https://www.linkedin.com/company/pecb/
Facebook: https://www.facebook.com/PECBInternational/
Slideshare: http://www.slideshare.net/PECBCERTIFICATION
Walmart Business+ and Spark Good for Nonprofits.pdfTechSoup
"Learn about all the ways Walmart supports nonprofit organizations.
You will hear from Liz Willett, the Head of Nonprofits, and hear about what Walmart is doing to help nonprofits, including Walmart Business and Spark Good. Walmart Business+ is a new offer for nonprofits that offers discounts and also streamlines nonprofits order and expense tracking, saving time and money.
The webinar may also give some examples on how nonprofits can best leverage Walmart Business+.
The event will cover the following::
Walmart Business + (https://business.walmart.com/plus) is a new shopping experience for nonprofits, schools, and local business customers that connects an exclusive online shopping experience to stores. Benefits include free delivery and shipping, a 'Spend Analytics” feature, special discounts, deals and tax-exempt shopping.
Special TechSoup offer for a free 180 days membership, and up to $150 in discounts on eligible orders.
Spark Good (walmart.com/sparkgood) is a charitable platform that enables nonprofits to receive donations directly from customers and associates.
Answers about how you can do more with Walmart!"
How to Make a Field Mandatory in Odoo 17Celine George
In Odoo, making a field required can be done through both Python code and XML views. When you set the required attribute to True in Python code, it makes the field required across all views where it's used. Conversely, when you set the required attribute in XML views, it makes the field required only in the context of that particular view.
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
This document provides an overview of wound healing, its functions, stages, mechanisms, factors affecting it, and complications.
A wound is a break in the integrity of the skin or tissues, which may be associated with disruption of the structure and function.
Healing is the body’s response to injury in an attempt to restore normal structure and functions.
Healing can occur in two ways: Regeneration and Repair
There are 4 phases of wound healing: hemostasis, inflammation, proliferation, and remodeling. This document also describes the mechanism of wound healing. Factors that affect healing include infection, uncontrolled diabetes, poor nutrition, age, anemia, the presence of foreign bodies, etc.
Complications of wound healing like infection, hyperpigmentation of scar, contractures, and keloid formation.
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
Main Java[All of the Base Concepts}.docxadhitya5119
This is part 1 of my Java Learning Journey. This Contains Custom methods, classes, constructors, packages, multithreading , try- catch block, finally block and more.
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
South African Journal of Science: Writing with integrity workshop (2024)
Enlightened Privacy – by Design for a Smarter Grid
1. Enlightened Privacy – by Design
for a Smarter Grid
Caroline Winn, Chief Customer Privacy
Officer, San Diego Gas & Electric
Dr. Ann Cavoukian
Information and Privacy Commissioner
Ontario, Canada
2. What is Privacy?
I want to make
informed choices Freedom
without unwanted
influence
I want you to
I want to know my just let me be
personal information is
not being used to harm
me or those I care about
Privacy
The Right
Peace
To be Left
Of Mind
Alone
Privacy is NOT about whether one has “something to hide”
2
3. Why Privacy?
– Perceptions of privacy continue to change
• Paradigm-changing technologies like the Internet impacted
– It’s the right thing to do
privacy in ways we could have scarcely imagined 30 years
ago
– Regulators require it
• Today, Smart Grid technologies like smart meters are – CPUC Decision 11-07-056 – Electricity
changing the way we look at energy privacy
Usage Data Privacy Decision applies
strict rules around how customer
privacy is respected and protected
●
Prudence demands it
– Penalties for failure may be
large
●
We know customers expect it
• “SDG&E understands that the full
benefits of Smart Grid cannot be
achieved if it does not have the
confidence of the users of the
system.” (SGDP, pg. 139)
4. Customer Privacy &
Information Security
Security
Privacy Security
“Are we doing what we said we “Are we protecting sensitive “Are we adequately protecting
would with customer data?” customer data?” company information?”
“Are we giving our customers “Are we properly disposing of “Are we in compliance with
choices regarding their data?” customer data?” security law & regs?”
“Can customers see their data “Does the data have high
& request corrections?” integrity?”
“Is the data accurate?” “Are we in compliance with
privacy law & regs?”
4
5. SDG&E’s position on privacy
• Privacy is a fundamental right of every customer
• Energy privacy—privacy around the collection & use of a
customer’s usage data—is a relatively new concept that requires
extensive awareness & education of risks
• SDG&E believes it is a steward of customer information and has an
obligation to protect it & our customers’ energy privacy
• SDG&E is committed to doing its part to advocate for energy
privacy on behalf of its customers & our community
• SDG&E desires to work collaboratively with external partners to
find ways to advance its customer privacy program
6. SDG&E View of the Smart Grid
• End-to-end transformation of its electric delivery system
• Empowers customers
• Increases renewable generation
• Integrates plug-in electric vehicles (PEVs)
• Reduces greenhouse gas (GHG) emissions
• Maintain and improving system reliability, operational efficiency, security and
customer privacy.
7. Example Smart Grid Privacy Concerns
Energy usage information can reveal preferences & behavior
What can be seen now …& perhaps in the future
• Makes, models, condition of
• Types & quantity of appliances appliances
(i.e., refrigerator, A/C) • Whether appliances are
• Whether solar panels or operating efficiently
electric vehicles are present • Whether refrigerator is full or
• Load trends (when customer is empty
home & when they’re not) • What is watched on TV
•?
8. How Utilities Can Use FTC “Do Not Track”
• Federal Trade Commission supports a “Do Not Track” feature in web browsers that prohibits
websites from tracking activities of users with feature enabled.
• In theory, utilities could offer a similar feature to customers who wish
to minimize the amount of information collected & shared about them
Sample Utility Customer Privacy Settings
Share it!: “Global opt in.” Customer authorizes utility to
share usage data with third parties for any use, including
marketing products, research studies, etc.
Normal: Default setting. Customer’s privacy is protected.
Sharing for secondary purposes requires customer
authorization.
Minimize: “Do not track.” Collects only enough
information to enable bare minimum & mandated
services, such as calculating an accurate bill.
10. Privacy and the Smart Grid
• Increase in the granular collection,
use and disclosure of personal
energy information;
• Data linkage of personally
identifiable information with detailed
energy use;
• The creation of a new “library”
of personal information, (Quinn, 2009),
and a new terminology:
“Consumer Energy Usage Data.”
Image – Toronto Star – May 12, 2010
11. Privacy by Design:
The 7 Foundational Principles
1. Proactive not Reactive:
Preventative, not Remedial;
2. Privacy as the Default setting;
3. Privacy Embedded into Design;
4. Full Functionality:
Positive-Sum, not Zero-Sum;
5. End-to-End Security:
Full Lifecycle Protection;
6. Visibility and Transparency:
Keep it Open;
7. Respect for User Privacy:
Keep it User-Centric.
www.ipc.on.ca/images/Resources/7foundationalprinciples.pdf
12. “Big Data”
• Each day we create 2.5 quintillion bytes of data;
• 90% of the data today has been created in the
past 2 years;
• Big data analysis and data analytics promises
new opportunities to gain valuable insights and
benefits, (e.g., improving pandemic response,
advances in cancer research, etc.);
• However, it can also enable expanded surveillance,
on a scale previously unimaginable;
• This situation cries out for a positive-sum
solution – a win-win strategy.
13. Data Analytics and the Role
of Utilities
•Utilities can find opportunities to adopt
Privacy by Design when introducing new
technologies, integrating communications
and information systems, as well as updating
operational business processes;
•Privacy by Design is essential to smart meter
data analytics, enabling both privacy and the
analysis of meter data – not one, to the
exclusion of the other.
14. 7 Foundational Principles
of Privacy by Design
1. Proactive not Reactive: Preventative, not Remedial;
2. Privacy as the Default setting;
3. Privacy Embedded into Design;
4. Full Functionality: Positive-Sum, not Zero-Sum;
5. End-to-End Security: Full Lifecycle Protection;
6. Visibility and Transparency: Keep it Open;
7. Respect for User Privacy: Keep it User-Centric.
15. Privacy by Design Principle No.2
No. 2 – Privacy as the Default Setting
• We can be certain of one thing — the default rules!
Privacy by Design seeks to deliver the maximum
degree of privacy by ensuring that personal data are
automatically protected in any given IT system or
business practice.
• If an individual does nothing (takes no action), their
privacy still remains intact. No action is required on
the part of the individual to protect their privacy — it
is built into the system automatically, by default.
http://privacybydesign.ca/about/principles
16. Do Not Track (DNT)
Microsoft Internet Explorer 10
• June 2012 – Microsoft announced a Do Not Track option would be
activated by default in Internet Explorer 10 on Windows 8 as part of
its commitment to user privacy;
• The Default Rules – research shows that the default condition,
requiring no action is the one that prevails;
• Microsoft was criticized by some companies, who said that Do Not
Track must be a choice made by the user and should not be
automatically enabled;
• They’re wrong – they already made the choice for their users – the
existing default is one of tracking/targeting;
• Microsoft responded that users would prefer a browser that
automatically respects their privacy and lets them make the choice–
they’re right!
17. Conclusions
• Big Data promises new opportunities to gain valuable
insights and benefits for the energy sector;
• However, Big Data may also enable expanded
surveillance, increasing the risk of unauthorized use;
• Big Data needs Big Privacy – you can achieve both
goals in a doubly-enabling, positive-sum paradigm
through Privacy by Design;
• Lead with Privacy by Design, featuring control over
customer energy usage data – thereby preserving
consumer confidence and trust;
• Avoid privacy by chance, or worse – Privacy by Disaster!
18. Privacy by Design and Third Party Access
to Customer Energy Use Data
• A growing class of third parties wish to gain
access to granular and customer-specific
energy use data (e.g. app developers,
consumer service providers, software
vendors, device manufacturers, home
security companies, etc.);
• Innovation advocates argue that allowing
third parties access to customer energy use
data (CEUD) will lead to new products and
services that will support conservation and
unleash new market opportunities (e.g.
Green Button, White House “Apps for
Energy” contest, MaRS Data Catalyst
project);
• Privacy by Design can ensure that the choice
to securely access and use CEUD remains in
the consumer’s control, and that the timely
disclosure of CEUD in standardized, machine
readable format is protected end-to-end.
www.privacybydesign.ca
Editor's Notes
Privacy means many things to many people. Information that one person considers private may be information another person regularly shares on a social networking site. So how do we define it? At its most basic level, privacy is the ability of an individual to seclude themselves—or information about themselves—and thereby reveal what they share selectively. More broadly, privacy is about the freedom to make personal choices without undesirable influence. This is the reason secret ballots are secret. Privacy is the peace of mind that information about us is not being used to harm us or those we care about. In some cases, privacy is simply about the right to be left alone. Privacy is not about whether one has something to hide. Each of us possesses some information that is sensitive and personal to us that we do not want to see fall into the hands of the wrong people at the wrong time.
From SGDP: “Customers will benefit from [Smart Grid technologies] while also having confidence that their privacy is protected.” (pg. 13) Pg. 120. Privacy Considerations Sony breach: http://www.csmonitor.com/Business/2011/0503/Sony-data-breach-could-be-most-expensive-ever
Privacy and the Smart Grid
7 Foundational Principles SMART GRID PRIVACY – Why privacy matters in Smart Grid, how SG could put privacy at risk if not executed well. E. L. Quinn, “Privacy and the New Energy Infrastructure” (Working Paper Series, 2009) htto://ssrn.com/abstract=1370731 This lead to a series of meetings with utilities in our jurisdiction of Ontario – which (fortunately) fall under our FOI and Privacy laws. We worked closely with 2 of the largest utilities – Hydro One and Toronto Hydro – who felt it was in their best interest to do so – and the best interests of their customers
Big Data Proactive not Reactive; Preventative not Remedial Privacy as the Default Privacy Embedded into Design Full Functionality: Positive-Sum, not Zero-Sum End-to-End Lifecycle Protection Visibility and Transparency Respect for User Privacy
Data Analytics and Role of Utilities HOW PRIVACY IS CHANGING – New uses for personal information, personal information is used in recent political campaigns, changes to laws on collection of information (Federal , California), calls for central “energy data center” in CA. The Virtuous Cycle of Big Data The virtuous cycle that may emerge: Systems that are respectful of personal information, with privacy assured from the outset, will increase user confidence and trust; This will increase users' engagement, driving more “voluntary” and “accurate” data into the system; More data will yield greater benefits for all stakeholders including users, without trading away their privacy – a positive-sum outcome!
7 Foundational Principles UTILITY ROLE – Why utilities are the best advocates for customer energy privacy.
Privacy by Design Principle #2
Do Not Track – Internet Explorer 10 Caroline Winn’s reference to FTC – Do Not Track
Conclusions
Announcing New IPC Paper – PbD and Third Party Access to CEUD
In partnership with the Information and Privacy Commissioner, Ontario, Canada, and the Future of Privacy Forum, with foreword by Caroline Winn, VP & CPO, SDG&E.