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Government agencies and private security companies in the U.S. have found a cost-effective way to engage in warrantless surveillance of individuals, groups and places: a pay-for-access web tool called Fog Reveal.

The tool enables law enforcement officers to see “patterns of life” – where and when people work and live, with whom they associate and what places they visit. The tool’s maker, Fog Data Science, claims to have billions of data points from over 250 million U.S. mobile devices.

Fog Reveal came to light when the Electronic Frontier Foundation (EFF), a nonprofit that advocates for online civil liberties, was investigating location data brokers and uncovered the program through a Freedom of Information Act request. EFF’s investigation found that Fog Reveal enables law enforcement and private companies to identify and track people and monitor specific places and events, like rallies, protests, places of worship and health care clinics. The Associated Press found that nearly two dozen government agencies across the country have contracted with Fog Data Science to use the tool.

Government use of Fog Reveal highlights a problematic difference between data privacy law and electronic surveillance law in the U.S. It is a difference that creates a sort of loophole, permitting enormous quantities of personal data to be collected, aggregated and used in ways that are not transparent to most persons. That difference is far more important in the wake of the Supreme Court’s Dobbs v. Jackson Women’s Health Organization decision, which revoked the constitutional right to an abortion. Dobbs puts the privacy of reproductive health information and related data points, including relevant location data, in significant jeopardy.

The trove of personal data Fog Data Science is selling, and government agencies are buying, exists because ever-advancing technologies in smart devices collect increasingly vast amounts of intimate data. Without meaningful choice or control on the user’s part, smart device and app makers collect, use and sell that data. It is a technological and legal dilemma that threatens individual privacy and liberty, and it is a problem I have worked on for years as a practicing lawyer, researcher and law professor.

Government surveillance

U.S. intelligence agencies have long used technology to engage in surveillance programs like PRISM, collecting data about individuals from tech companies like Google, particularly since 9/11 – ostensibly for national security reasons. These programs typically are authorized by and subject to the Foreign Intelligence Surveillance Act and the Patriot Act. While there is critical debate about the merits and abuses of these laws and programs, they operate under a modicum of court and congressional oversight.

Domestic law enforcement agencies also use technology for surveillance, but generally with greater restrictions. The U.S. Supreme Court has ruled that the Constitution’s Fourth Amendment, which protects against unreasonable search and seizure, and federal electronic surveillance law require domestic law enforcement agencies to obtain a warrant before tracking someone’s location using a GPS device or cell site location information.

Fog Reveal is something else entirely. The tool – made possible by smart device technology and that difference between data privacy and electronic surveillance law protections – allows domestic law enforcement and private entities to buy access to compiled data about most U.S. mobile phones, including location data. It enables tracking and monitoring of people on a massive scale without court oversight or public transparency. The company has made few public comments, but details of its technology have come out through the referenced EFF and AP investigations.

Fog Reveal’s data

Every smartphone has an advertising ID – a series of numbers that uniquely identifies the device. Supposedly, advertising IDs are anonymous and not linked directly to the subscriber’s name. In reality, that may not be the case.

Private companies and apps harness smartphones’ GPS capabilities, which provide detailed location data, and advertising IDs, so that wherever a smartphone goes and any time a user downloads an app or visits a website, it creates a trail. Fog Data Science says it obtains this “commercially available data” from data brokers, permitting the tool to follow devices through their advertising IDs. While these numbers do not contain the name of the phone’s user, they can easily be traced to homes and workplaces to help police identify the user and establish pattern-of-life analyses.

a screenshot showing a text box with a row of icons at the top over a satellite view of a neighborhood
Fog Reveal allows users to see that a specific mobile phone was at a specific place at a specific time. Electronic Frontier Foundation, CC BY

Law enforcement use of Fog Reveal puts a spotlight on that loophole between U.S. data privacy law and electronic surveillance law. The hole is so large that – despite Supreme Court rulings requiring a warrant for law enforcement to use GPS and cell site data to track persons – it is not clear whether law enforcement use of Fog Reveal is unlawful.

Electronic surveillance vs. data privacy

Electronic surveillance law protections and data privacy mean two very different things in the U.S. There are robust federal electronic surveillance laws governing domestic surveillance. The Electronic Communications Privacy Act regulates when and how domestic law enforcement and private entities can “wiretap,” i.e., intercept a person’s communications, or track a person’s location.

Coupled with Fourth Amendment protections, ECPA generally requires law enforcement agencies to get a warrant based on probable cause to intercept someone’s communications or track someone’s location using GPS and cell site location information. Also, ECPA permits an officer to get a warrant only when the officer is investigating certain crimes, so the law limits its own authority to permit surveillance of only serious crimes. Violation of ECPA is a crime.

The vast majority of states have laws that mirror ECPA, although some states, like Maryland, afford citizens more protections from unwanted surveillance.

The Fog Reveal tool raises enormous privacy and civil liberties concerns, yet what it is selling – the ability to track most persons at all times – may be permissible because the U.S. lacks a comprehensive federal data privacy law. ECPA permits interceptions and electronic surveillance when a person consents to that surveillance.

With little in the way of federal data privacy laws, once someone clicks “I agree” on a pop-up box, there are few limitations on private entities’ collection, use and aggregation of user data, including location data. This is the loophole between data privacy and electronic surveillance law protections, and it creates the framework that underpins the massive U.S. data sharing market.

AP investigative journalist Garance Burke explains how she and her colleagues uncovered law enforcement use of Fog Reveal.

The need for data privacy law

Without robust federal data privacy safeguards, smart device manufacturers, app makers and data brokers will continue, unfettered, to utilize smart devices’ sophisticated sensing technologies and GPS capabilities to collect and commercially aggregate vast quantities of intimate and revealing data. As it stands, that data trove may not be protected from law enforcement agencies. But the permitted commercial use of advertising IDs to track devices and users without meaningful notice and consent could change if the American Data Privacy Protection Act, approved by the U.S. House of Representatives Committee on Energy and Commerce by a vote of 53-2 on July 20, 2022, passes.

ADPPA’s future is uncertain. The app industry is strongly resisting any curtailment of its data collection practices, and some states are resisting ADPPA’s federal preemption provision, which could minimize the protections afforded via state data privacy laws. For example, Nancy Pelosi, speaker of the U.S. House of Representatives, has said lawmakers will need to address concerns from California that the bill overrides the state’s stronger protections before she will call for a vote on ADPPA.

The stakes are high. Recent law enforcement investigations highlight the real-world consequences that flow from the lack of robust data privacy protection. Given the Dobbs ruling, these situations will proliferate absent congressional action.

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Sourced from The Conversation

By Jessica Burton

Today’s cities are living entities. They develop, grow and become more complex over time. Yet, many of their most pressing issues, such as the need for utility improvements and monitoring crime, remain the same. Like never before, city officials have the capabilities to implement analytics technology. But surveillance will be at the heart of smart cities.

These technologies will help with a myriad of everyday city demands, in addition to more intricate challenges pertaining to security, healthcare, mobility, energy and economic development.

We need accurate insights into cities like never before.

With more than half of the world’s population residing in cities, this need for smarter and more accurate insights into their everyday workings is monumental. City management officials could learn much from leaders like Cisco, Amazon and Google. These companies have made it their business to not just collect data, but  utilize it to improve livelihoods and communities.  As we look to their successes, it becomes increasingly evident that the answer to creating smarter cities lies largely in surveillance technology that captures data analytics.

With the rise in surveillance technology and predictive analytics, we can make smart cities smarter and effectively, increase their efficiency. The reality is, however, that connectivity is never a guarantee. Therefore, necessary data must be present, regardless of connectedness, to ensure real-time decisions can be made. Satisfactory amounts of local storage must exist to position the most perceptive data nearest to the point of compute. This speaks to the increasing importance of the edge, as well as embedded storage.

Growth in real-time data is causing a shift in digital storage needs.

The growth of real-time data though edge analytics is causing a shift in the type of digital storage cities need. Fast, uncompromised access to data is becoming ever more critical. With a recent study, Data Age 2025: The Digitization of the World from Edge to Core, estimating that 175 zettabytes of data will be generated by 2025, there has never been a greater volume of insights at our fingertips and cities must step up to develop ways to use this data for good. In many ways, cities are already doing this – from intelligent street lights optimizing routes based on traffic patterns to reduce emergency response time by 20 to 30 percent, to advanced surveillance cameras with analytics deployed to enhance security operations, leading to a reduction in crime by 30 to 40 percent. However, we can do so much more.

To be a true smart city today, cities will need an “edge tier” approach to store, filter and manage data closer to the sensors. To gain deeper insights, the data is then stored and analyzed for longer periods of time in the edge domain as well as in the cloud or backend. Edge analytics that capture and collect data on network video recorders (NVRs) make it possible to act in real-time. With this technology, cities can find missing persons, notify residents of nearby emergencies and send out traffic congestion warnings.

Data insights will provide many wide-ranging benefits to cities.

The opportunities data analysis and data-driven urban improvement present are both hugely exciting and impossible to ignore. Behavioral analytics, thermal cameras and AI engines in edge devices like NVRs are just a sampling of the technologies that have given us the ability to remain constantly connected on a vast network. By horizontally interrelating individual systems, we can now develop insights into various mechanisms. This includes patterns in electricity, water, sanitation, transportation, environmental monitoring and weather intelligence.

West Hollywood’s Innovation Division is an excellent example to look to.

Take for instance, West Hollywood’s Innovation Division, which recently received the American Planning Association (APA) Technology Division’s Smart Cities Award for the “WeHo Smart City” Strategic Plan. Its three-part plan consisted of strategies including:

  • Data-driven decision-making rolling out to departments citywide
  • Collaboration and experimentation designed to enable City Hall staff to work better together.
  • Automation of processes to improve public safety and manage the built environment through smart city sensors and smart building programs.

With data collected from predictive analytics based on Deep Learning activities in the back-end, in some cases for over a year, we can pre-identify trends to manage incidents in one sector that directly impact another.

Access to real-time data and surveillance tech is key.

Cities need data in the moment and on the go. This places  a larger demand on the edge to produce the predictive and reliable information required, often in real-time. In fact, reports (Seagate) predict that due to the infusion of data into our city workflows and personal streams of life, nearly 30 percent of the “Global Datasphere” — meaning the amount of data created, captured or replicated across the globe – will be in real-time by 2025.

That’s a lot of real-time data. So, how can a city implement surveillance technology to better secure a city and enable smarter analyses? The first step is identifying video storage solutions positioned at the center of a smart city’s surveillance application. These solutions enable recordings, data retention, predictive analytics and real-time alerts. The next step is to position data at the edge and provide ample time for cities to make sense of patterns. More than ever before, cities will need to come together to integrate their technologies and ultimately make their networks smarter. This is a challenge that will require broad cooperation across its systems. Surveillance storage technology is the foundation to this strategy, ensuring timely data access and availability from edge to cloud.

By Jessica Burton

Global Product Marketing Manager at Seagate Technology. Jessica Burton has over 10 years of experience in IT storage and is the Global Product Marketing Manager at Seagate Technology. Her previous experience includes expertise in enterprise storage at Hewlett Packard Enterprise.

Sourced from readwrite

Social media monitoring gives journalists more power to verify that stories coming in are real. However, it also gives others power to track where our kids are, right down to the exact address. Is it too much of a trade-off?

By MediaStreet Staff Writers

While social media has wild benefits and is currently seen as the place to put ads in front of captive markets, there are uncomfortable trade-offs. Take for example, Snapchat. While this app is wildly popular with kids, tweens and 20-somethings, it has been criticised for a new feature that makes parents feel really panicked.

https://www.youtube.com/watch?v=RQMxcbZ2iIg

The controversial Snap Map app enables Snapchat users to track their “friends.” This is the latest in a series of monitoring tools to be built on social media platforms. The Snap Map app has provoked widespread concern among parents, and protests from child protection agencies. So much so that boffins at Ludwig-Maximilians-Universitaet (LMU) in Munich decided to study the benefits and risks associated with the use of such technologies.

Snap Map enables users to monitor their friends’ movements, and determine – in real time – exactly where their posts are coming from (down to the address). Many social media users also expressed their indignation, referring to the app as ‘stalking software’.

“However, Snap Map is just one of a range of apps that allows social network users to be monitored without their knowledge and with pin-point accuracy,” says Professor Neil Thurman of LMU. “Indeed some of these apps far exceed Snap Map in their surveillance capabilities, and are able to track individuals over time and across multiple social networks.”

In his latest study, which has been published in Digital Journalism, Thurman lists a range of such apps – including Echosec, Dataminr, Picodash, and SAM. While Snapchat’s Snap Map is aimed at the public, many of the other social media monitoring apps are aimed at professional users, including the security forces, journalists, and marketeers.

Thurman analysed how journalists reacted to these new tools for locating and filtering content on social networks, and monitoring the activities and movements of its authors. It turns out that these apps are particularly useful in verification, enabling journalists to judge whether witness accounts were actually posted from the supposed scene of the action.

“These apps have been welcomed by some journalists who see them as an ‘early warning system'” says Thurman. But, he says, they also have consequences for users’ personal privacy. In the course of his study, he interviewed journalists who were given an opportunity to experiment with some of these apps professionally. One said that being able to track the locations of individual social media users felt “slightly morally wrong and stalkeresque.”

However, reservations like this are apparently not universal. “One of the apps my report describes – Geofeedia – was used by hundreds of law enforcement agencies, promoted as giving the police the power to “monitor” – via social media – trade union members, protesters, and activist groups, who the company described as being an overt threat. “The Geofeedia controversy led to its demise, with social networks refusing to persist in supplying the app with a pipeline of posts for fear of further negative publicity.”

According to an article in the business magazine Forbes, cited by Thurman, the sheer number of apps that have been built on their platforms makes it impossible for the leading social media networks to prevent this form of social surveillance.

“As we’ve seen with the launch of Snap Map, social media surveillance is not going to go away,” he warns. “Although we might now know how to go ‘ghost’ on Snapchat, how many of us know that our other social media posts could be betraying our whereabouts to the thousands of organisations around the world using social media monitoring apps most have never heard of?”

Does this make you think about where your marketing spend is going?

 

Can the feeling that you are being watched hinder your willingness to buy? Absolutely.

No shopper likes being watched closely, especially if they’re buying an item they find very personal and potentially embarrassing – for instance, foot fungus cream or haemorrhoid cream. Three marketing professors recently conducted research on this phenomenon and concluded that the problem is real and is relatively easy for retailers to address.

The article in the September issue of the Journal of Retailing attributes the reluctance of shoppers to make a sensitive purchase under watchful eyes to “reactance theory.” When shoppers feel that their privacy or freedom of behaviour is threatened, they will back off, either permanently or temporarily. Retailers must balance their need to control shoplifting with their customers’ need for privacy.

The authors of the study designed a series of studies and field experiments that tested shoppers’ reaction to being watched while shopping for foot fungal cream and haemorrhoid cream. A researcher dressed as a retail employee purposely made eye contact – or not – as customers were surveying the shelves for these items. When eye contact was made, almost two thirds of the customers abandoned the purchase; when it was not made; nearly three quarters completed the buy.

In further studies, the authors tested solutions that would ease customers’ concerns over privacy and yet be easy to implement for retailers – for instance, providing a shopping basket or opaque bag to hide the embarrassing selection. Based on their observations, the authors concluded that retailers who were able to provide shoppers with at least some privacy – even a shopping basket – could circumvent shoppers’ perceptions of being watched and made so uncomfortable that they walked away empty-handed.

For those selling online, do these finding apply to the world of e-commerce? Do customers balk at buying embarrassing products (or any products) if they think their data and buyer behaviour is being monitored? In this case, it is easy to put two and two together.