Research on Balancing Privacy with Surveillance
Interesting research: Michael Kearns, Aaron Roth, Zhiwei Steven Wu, and Grigory Yaroslavtsev, “Private algorithms for the protected in social network search,” PNAS, Jan 2016:
Abstract: Motivated by tensions between data privacy for individual citizens and societal priorities such as counterterrorism and the containment of infectious disease, we introduce a computational model that distinguishes between parties for whom privacy is explicitly protected, and those for whom it is not (the targeted subpopulation). The goal is the development of algorithms that can effectively identify and take action upon members of the targeted subpopulation in a way that minimally compromises the privacy of the protected, while simultaneously limiting the expense of distinguishing members of the two groups via costly mechanisms such as surveillance, background checks, or medical testing. Within this framework, we provide provably privacy-preserving algorithms for targeted search in social networks. These algorithms are natural variants of common graph search methods, and ensure privacy for the protected by the careful injection of noise in the prioritization of potential targets. We validate the utility of our algorithms with extensive computational experiments on two large-scale social network datasets.
Privacy • February 24, 2016 6:42 AM
The primary use of social media (Facebook, Twitter, Instagram et. al.) is to communicate with friends, family and, sometimes, businesses. The nature of social data aggregation means that it is impossible to maintain real privacy as a lot of services have ‘real name policies’ and sell data in order to provide the service. Truly anonymous services are used only by a few individuals.
Until there is legislative change businesses will continue to sell data with impunity: relying upon the implied/explicit consent of their users. We can’t rely on money-marking organizations to respect privacy.
I’m finding now that more people – especially within the 18-25 age range – are using ephemeral messaging apps like Snapchat. These seem to be a step towards privacy (and reducing the permanency of other social media platforms) and in part I think that’s welcome. However we have market leaders such as WhatsApp who are looking to monetize their service by providing their platform to advertisers/businesses.
Encrypted apps like Signal* (for voice and text) and Telegram* (for text) are used by very few people. In an ideal world everybody would be using such apps but we’re still left with the problem of metadata; there is a Windows/Mac/Linux based application called Ricochet which tries to eliminate metadata but I’ve got no experience of it.
Does anybody know how secure the ‘Secret Chats’ of Telegram are?
Is Signal still considered secure (assuming the operating system isn’t compromised)?
*
https://whispersystems.org/
https://telegram.org/
https://ricochet.im/