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App Annie’s latest report highlights that Zoom is the most downloaded app on iOS amongst all users. But it has also put focus on privacy and security.

The coronavirus pandemic is an opportunity to balance public health and personal privacy

A Pickering long-term care home has suffered a possible privacy breach, Ontario's minister of long-term care said Saturday.

This report provides an overview of existing data and statistics in the fields of information security, privacy and the protection of children online. It highlights the potential for the development of better indicators in these respective fields showing in particular that there is an underexploited wealth of empirical data that, if mined and made comparable, will enrich the current evidence base for policy making.

The work of the expert group played an essential role in a process which concluded in July 2013 with the adoption by the OECD Council of the first revisions to the OECD Privacy Guidelines since their original release in 1980. This document identifies a number of issues that were raised but not fully addressed as part of the review process and which could be considered as candidates for possible future study.

On the occasion of the Global Conference on Cyberspace meeting today in The Hague, the Global Commission on Internet Governance (GCIG) issued a statement calling on ‘the global community to build a new social compact between citizens and their elected representatives, the judiciary, law enforcement and intelligence agencies, business, civil society and the Internet technical community..

Instant messaging platform WhatsApp today opposed in Delhi High Court a plea alleging that privacy of its users has been threatened by a new privacy policy announced by Facebook, saying regulations were in place and the latter does not have access to any data as it provides end-to-end encryption.

A public interest litigation in the Delhi High Court (HC) challenges the change in WhatsApp's privacy policy.

A new report from the National Academies of Sciences, Engineering, and Medicine offers detailed recommendations to guide federal statistical agencies in creating a new entity that would enable them to combine data from multiple sources in order to provide more relevant, timely, and detailed statistics – for example, on the unemployment rate or the rate of violent crime.

NASA should collaborate with the Federal Aviation Administration (FAA), industry, academia to research the full effects that increased unpiloted air vehicle traffic would have on society, including ramifications to sound, privacy, environmental matters, and cybersecurity, says a new report from the National Academies of Sciences, Engineering, and Medicine.

As the world turns to technology to track and contain the COVID-19 pandemic, could this spell the end of digital privacy rights?

The post Public health vs. personal privacy: Choose only one? appeared first on WeLiveSecurity

The seemingly insatiable demand among people and businesses alike helps reveal a rash of privacy and security issues facing the platform

The post Zoom’s privacy and security woes in the spotlight appeared first on WeLiveSecurity

While in France, a citizen of Brazil who resides in California books a bungee jump in New Zealand. Is it a leap of faith into the unknown, for both the operator and the thrill-seeker?

The post Is “global privacy” an oxymoron? appeared first on WeLiveSecurity

Xiaomi India Managing Director said that the company does not collect any user data that the user has not explicitly given permission or consent to. He added that in the browser's incognito mode, all user data is completely encrypted and anonymised. He also pointed out that all Mi Browser and Mi Cloud data of Indian users is stored locally in AWS servers in India.

IIF urged that the hearing should specially involve medical health professionals, academics from IITs and digital rights and public policy experts to provide inputs.

IIF urged that the hearing should specially involve medical health professionals, academics from IITs and digital rights and public policy experts to provide inputs.

Parents and teens should be on the lookout for this new privacy setting that affects 13- to 17-year-olds.

The insurer contacted thousands of customers mistakenly calling them ‘Michael’ - reports.

This article offers information about bug detectors and more advanced bug tracking devices for people concerned about their security.

People expect that you treat their email addresses, personal and other contact details privately. The BCC option provides a sure fire method of not abusing anyones trust and divulging their email address to possible spammers or others to whom it should not be given. This article discusses BCC and it's advantages and disadvantages.

The HIPAA Security & Privacy Compliance Toolkit (HSPCT) - Government Edition - is the most comprehensive set of Health Insurance Portability and Accountability Act (HIPAA) documents found anywhere in North America today.

AT.Wallet, a fingerprint enabled card type wallet is AuthenTrend's answer to the ever-increasing hackers to blockchain related transactions which includes Cryptocurrency.

Ms. Chaker's legal scholarship in the "Chimaera" series of law review articles and on Carpenter v. United States is due to be published in top-tier journals, including The University of Florida Levin College of Law Journal of Technology Law & Policy.

Lew McCreary, HBR senior editor and author of the article "What Was Privacy?"

Scott Berinato, senior editor at Harvard Business Review, on how companies benefit from transparency about customer data.

Timothy Morey and Allison Schoop, both of frog, on designing customer data systems that promote transparency and trust.

How an organization responds to CCPA and future-proofs itself against additional laws will dictate how well it will perform for years to come

Xiaomi India Managing Director said that the company does not collect any user data that the user has not explicitly given permission or consent to. He added that in the browser's incognito mode, all user data is completely encrypted and anonymised. He also pointed out that all Mi Browser and Mi Cloud data of Indian users is stored locally in AWS servers in India.

Due to lockdown in the country, we are more dependent on the Internet, which also means that we are more susceptible to tracking by websites and apps for our data. Here are 5 simple steps you can take to protect your personal information.

No, no, no, NO! There is NO legalese that you can post on your Facebook wall that will protect your privacy nor the ownership of your posts and photos. The agreement between you and Facebook is completely defined by the […]

The post How to Post a Facebook Privacy Notice appeared first on Tech Tips » Surfnetkids.

The new General Data Protection Regulation (GDPR) of the European Union will be implemented on May 25th, 2018. We used this opportunity to rework many of our internal data processing structures, removed unnecessary trackers and apply this strict and transparent regulation also to all our customers worldwide.

Image from pixapay.com.

At Auphonic we store as few personal information as possible about your usage and production data.
Here are a few human-readable excerpts from our privacy policy about which information we collect, how we process it, how long and where we store it - for more details please see our full Privacy Policy.

Information that we collect

• Your email address when you create an account.
• Your files, content, configuration parameters and other information, including your photos, audio or video files, production settings, metadata and emails.
• Your tokens or authentication information if you choose to connect to any External services.
• Your subscription plan, credits purchases and production billing history associated with your account, where applicable.
• Your interactions with us, whether by email, on our blog or on our social media platforms.

We do not process any special categories of data (also commonly referred to as “sensitive personal data”).

How we use and process your Data

• To authenticate you when you log on to your account.
• To run your Productions, such that Auphonic can create new media files from your Content according to your instructions.
• To improve our audio processing algorithms. For this purpose, you agree that your Content may be viewed and/or listened to by an Auphonic employee or any person contracted by Auphonic to work on our audio processing algorithms.
• To connect your Auphonic account to an External service according to your instructions.
• To develop, improve and optimize the contents, screen layouts and features of our Services.
• To follow up on any question and request for assistance or information.

When using our Service, you fully retain any rights that you have with regards to your Content, including copyright.

How long we store your Information

Your Productions and any associated audio or video files will be permanently deleted from our servers including all its metadata and possible data from external services after 21 days (7 days for video productions).
We will, however, keep billing metadata associated with your Productions in an internal database (how many hours of audio you processed).

Also, we might store selected audio and/or video files (or excerpts thereof) from your Content in an internal storage space for the purpose of improving our audio processing algorithms.

Other information like Presets, connected External services, Account settings etc. will be stored until you delete them or when your account is deleted.

Where we store your Data

All data that we collect from you is stored on secure servers in the European Economic Area (in Germany).

More Information and Contact

For more information please read our full Privacy Policy.

Please do not hesitate to contact us regarding any matter relating to our privacy policy and GDPR compliance!

The global health threat from COVID-19 has been controlled in a number of instances by large-scale testing and contact tracing efforts. We created this document to suggest three functionalities on how we might best harness computing technologies to supporting the goals of public health organizations in minimizing morbidity and mortality associated with the spread of COVID-19, while protecting the civil liberties of individuals. In particular, this work advocates for a third-party free approach to assisted mobile contact tracing, because such an approach mitigates the security and privacy risks of requiring a trusted third party. We also explicitly consider the inferential risks involved in any contract tracing system, where any alert to a user could itself give rise to de-anonymizing information.

More generally, we hope to participate in bringing together colleagues in industry, academia, and civil society to discuss and converge on ideas around a critical issue rising with attempts to mitigate the COVID-19 pandemic.

The apps and devices you use are conducting surveillance with your every move Sure, you lock your home, and you probably don't share your deepest secrets with random strangers.…

A computer-implemented method is provided for statistical data learning under privacy constraints. The method includes: receiving, by a processor, a plurality of pieces of statistical information relating to a statistical object and aggregating, by the processor, the plurality of pieces of statistical information so as to provide an estimation of the statistical object. Each piece of statistical information includes an uncertainty variable, the uncertainty variable being a value determined from a function having a predetermined mean. The number of pieces of statistical information aggregated is proportional to the reliability of the estimation of the statistical object.

An apparatus, system and method are introduced for preserving privacy of data in a dataset in a database with a number n of entries. In one embodiment, the apparatus includes memory including computer program code configured to, with a processor, cause the apparatus to form a random matrix of dimension m by n, wherein m is less than n, operate on the dataset with the random matrix to produce a compressed dataset, form a pseudoinverse of the random matrix, and operate on the dataset with the pseudoinverse of the random matrix to produce a decompressed dataset.

Computationally implemented methods and systems are described herein that are designed to, among other things, receiving a level-one encrypted output of a surveillance device; encrypting at least a part of the level-one encrypted output of the surveillance device with a level-two encryption key whose decryption key is inaccessible by a level-two encryption entity; and transmitting a level-two encrypted output of the surveillance device.

Disclosed is a method for address privacy protection for a first wireless device sharing a privacy key with a second wireless device. In the method, a first resolution tag is generated at the first wireless device using a pseudo-random function with the seed value and the privacy key as input arguments. The privacy key is only known to the first and second wireless devices. A privacy address is generated for the first wireless device based on the seed value and the first resolution tag. A packet is transmitted from the first wireless device to the second wireless device. The packet includes the privacy address and the first resolution tag.

A movable privacy screen includes a plurality of privacy screen segments that are attachable to a bed or gurney. The plurality of screen segments include at least first and second screen segments. Each of the first and second screen segments include a first support pole, a second support pole and a coupler. The first support pole has a variable length to permit the first support pole to move between a collapsed configuration and an expanded configuration. The second support pole has a variable length to permit the second support pole to move between a collapsed configuration and an expanded configuration. The coupler movably couples the first and second support poles to the bed in a spaced relation to permit the first and second support poles to move between an upstanding use position and a lowered storage position. A fabric-like screen member is coupled to each of the first and second support poles. The fabric-like screen member is sized to extend between the first and second support poles, and is movable between a raised use position and a lowered storage position.

A room privacy device sounds an audible alarm when a door to a room is not closed and sound is detected in the room. This helps prompt people in the room to close the door to maintain the privacy of the conversation and/or prevent sound in the room from disturbing others outside the room. In some embodiments, the room privacy device includes a door sensor for detecting whether a door is open, a microphone for capturing sound, and a speaker for providing an audible alarm. The room privacy device also includes a processor that causes the speaker to sound an audible alarm based on a signal from the door sensor indicative of the door being open and a signal from the microphone indicative of sound being detected.

IN this podcast Thomas Domville shows us how to increase the security of your Google, Facebook, and other internet and social media accounts with Jumbo: Privacy + Security for iOS.

‎Jumbo: Privacy + Security on the App Store
https://apps.apple.com/no/app/jumbo-privacy/id1454039975

Data sharing is vital for online businesses. Companies share user data with vendors to help grow their business, boost user engagement, and personalize their products. In addition, companies often have to share data with governments and other regulatory bodies for compliance reasons. In this course, the final installment in the Privacy series, Nishant Bhajaria goes over various techniques you can apply to help bolster data privacy before you share data. Nishant begins by stepping through the various risks associated with data sharing, as well as common misconceptions related to privacy and data sharing. He then shares strategies for protecting data privacy and making more informed data sharing decisions, including how to leverage k-anonymity and l-diversity in your work. Along the way, Nishant shares challenges that allow you to put your new skills to the test.

Note: We recommend taking the previous course in this series, Privacy: How to Classify and Inventory Your Data, prior to beginning this course.

Companies often collect customer data with third parties to enable better products and growing engagement, as well as for safety reasons. But users expect—and deserve—that their information is handled with great care. In this course, instructor Nishant Bhajaria steps through how to create an architecture to manage data collection and measure risk, as well as afford privacy protections relative to that risk. This architecture—which is a combination of technology, techniques, and processes—can enable companies to be more disciplined with data while collecting and processing it. Nishant goes over the current privacy landscape, explains how classifying data can save you money in the long run, and shares what the data classification process should look like. He also takes a deep dive into the data inventory process, explaining how to best approach it and discern whether it is succeeding. Finally, Nishant provides context on executive communication on privacy governance.

Note: Want to continue learning how to strengthen your organization's privacy infrastructure? After wrapping up this course, check out the final installment in this series, Privacy: How to Share Data with Privacy Controls.

Understanding what we want to make public and what we want to keep private might seem like an easy choice. However, as Dr. Art Markman and Dr. Bob Duke discuss in this episode of Two Guys on Your Head when it comes to life online, our brains aren’t quite equipped to navigate the complexity of...

NEW DELHI (AP) — As India enters an extended coronavirus lockdown, the government is actively pursuing contact tracing to help control infections. At the heart of the effort in the country of 1.3 billion people is a smartphone app that evaluates users’ infection risk based on location services such as Bluetooth and GPS. In April, […]

NEW DELHI (AP) — As India enters an extended coronavirus lockdown, the government is actively pursuing contact tracing to help control infections. At the heart of the effort in the country of 1.3 billion people is a government-run smartphone app that critics say endangers civil liberties in how it uses location services and centralizes data […]