An anonymous reader shares a report: Officials inside the Secret Service clashed over whether they needed a warrant to use location data harvested from ordinary apps installed on smartphones, with some arguing that citizens have agreed to be tracked with such data by accepting app terms of service, despite those apps often not saying their data may end up with the authorities, according to hundreds of pages of internal Secret Service emails obtained by 404 Media. The emails provide deeper insight into the agency's use of Locate X, a powerful surveillance capability that allows law enforcement officials to follow a phone, and person's, precise movements over time at the click of a mouse. In 2023, a government oversight body found that the Secret Service, Customs and Border Protection, and Immigration and Customs Enforcement all used their access to such location data illegally. The Secret Service told 404 Media in an email last week it is no longer using the tool. "If USSS [U.S. Secret Service] is using Locate X, that is most concerning to us," one of the internal emails said. 404 Media obtained them and other documents through a Freedom of Information Act (FOIA) request with the Secret Service.

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Differential privacy is usually applied to location privacy protection scenarios, which confuses real data by adding interference noise to location points to achieve the purpose of protecting privacy. However, this method can result in a significant amount of redundant noisy data and impact the accuracy of the location. Considering the security and practicability of location data, an effective differential privacy protection method of location data based on perturbation loss constraint is proposed. After applying the Laplace mechanism under the condition of differential privacy to perturb the location data, the Savitzky-Golay filtering technology is used to correct the data with noise, and the data with large deviation and low availability is optimised. The introduction of Savitzky-Golay filtering mechanism in differential privacy can reduce the error caused by noise data while protecting user privacy. The experiments results indicate that the scheme improves the practicability of location data and is feasible.

Aim/Purpose: The paper’s objective is to examine the challenges of using the mobile phone to mine location data for effective contact tracing of symptomatic, pre-symptomatic, and asymptomatic individuals and the implications of this technology for public health governance. Background: The COVID-19 crisis has created an unprecedented need for contact tracing across South Africa, requiring thousands of people to be traced and their details captured in government health databases as part of public health efforts aimed at breaking the chains of transmission. Contact tracing for COVID-19 requires the identification of persons who may have been exposed to the virus and following them up daily for 14 days from the last point of exposure. Mining mobile phone location data can play a critical role in locating people from the time they were identified as contacts to the time they access medical assistance. In this case, it aids data flow to various databases designated for COVID-19 work. Methodology: The researchers conducted a review of the available literature on this subject drawing from academic articles published in peer-reviewed journals, research reports, and other relevant national and international government documents reporting on public health and COVID-19. Document analysis was used as the primary research method, drawing on the case studies. Contribution: Contact tracing remains a critical strategy in curbing the deadly COVID-19 pandemic in South Africa and elsewhere in the world. However, given increasing concern regarding its invasive nature and possible infringement of individual liberties, it is imperative to interrogate the challenges related to its implementation to ensure a balance with public governance. The research findings can thus be used to inform policies and practices associated with contact tracing in South Africa. Findings: The study found that contact tracing using mobile phone location data mining can be used to enforce quarantine measures such as lockdowns aimed at mitigating a public health emergency such as COVID-19. However, the use of technology can expose the public to criminal activities by exposing their locations. From a public governance point of view, any exposure of the public to social ills is highly undesirable. Recommendations for Practitioners: In using contact tracing apps to provide pertinent data location caution needs to be exercised to ensure that sensitive private information is not made public to the extent that it compromises citizens’ safety and security. The study recommends the development and implementation of data use protocols to support the use of this technology, in order to mitigate against infringement of individual privacy and other civil liberties. Recommendation for Researchers: Researchers should explore ways of improving digital applications in order to improve the acceptability of the use of contact tracing technology to manage pandemics such as COVID-19, paying attention to ethical considerations. Impact on Society: Since contact tracing has implications for privacy and confidentiality it must be conducted with caution. This research highlights the challenges that the authorities must address to ensure that the right to privacy and confidentiality is upheld. Future Research: Future research could focus on collecting primary data to provide insight on contact tracing through mining mobile phone location data. Research could also be conducted on how app-based technology can enhance the effectiveness of contact tracing in order to optimize testing and tracing coverage. This has the potential to minimize transmission whilst also minimizing tracing delays. Moreover, it is important to develop contact tracing apps that are universally inter-operable and privacy-preserving.

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Carriers claim location data isn't protected, say they have right to jury trial.

"The emails provide deeper insight into the agency’s use of Locate X, a powerful surveillance capability that allows law enforcement officials to follow a phone, and person’s, precise movements over time at the click of a mouse." "Locate X is made by a company called Babel Street."

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More details have emerged about a coronavirus contacts tracing app being developed by UK authorities. NHSX CEO, Matthew Gould, said today that future versions of the app could ask users to share location data to help authorities learn more about how the virus propagates. Gould, who heads up the digital transformation unit of the UK’s […]

The report, which was based on commercially-available cellphone location data - indicates that there might've been a 'hazardous event' at China's Wuhan Institute of Virology in early October.

Google is reportedly working with the UK government to provide anonymised location data to help identify the parts of the country where social distancing measures aren't being adhered to.

An increased use of phone location data by local authorities to track the spread of COVID-19 or observe social distancing could lead to greater public surveillance after the pandemic.

Khan, Gohar F., author