Privacy

Now that I and the rest of the Internet has grown accustomed to Google Plus and Facebook’s most recent friend categorization features, I thought it was time to revisit and revise a previously unpublished piece of mine. Take a moment and think about your friends, family, colleagues, friends of friends, acquaintances, and members of the same social club. These six groups could comprise a large part, but certainly not all, of the people that you know. You may also have extended family, classmates, common members of sports teams, religious associations, and the familiar strangers you recognize, but don’t know their names. To further complicate matters, the people in these groups often change over time as we move through life. How we conduct ourselves depends on the situation. It is highly unlikely that you act the same way around your grandmother as you do at a party with your friends and people do not expect you to act the same way. Your friends, work colleagues, and extended family do not all know each other and I suspect that in many cases you would like to keep it that way. For this reason, it seems odd to expect that our interactions in online social networks would be any different. ...

You are unique… In so many ways… The accounting systems on which modern society depends are surveillance systems when viewed with another lens. All administrative, financial, logistics, public heath, and intelligence systems rely on the ability to track people, objects, and data. Efficiency and effectiveness in tracking have been greatly aided by improvements in data analysis, computational capabilities, and greater aggregations of data. Advances in social network analysis, traffic analysis, fingerprinting, profiling, de-anonymization/re-identification, and behavioral modeling techniques have all contributed to better tracking capabilities. In addition, modern technological artifacts typically contain one or more unique hardware device identifiers. These identifiers—particularly in mobile devices, but also RFIDs, and soon Intelligent Vehicle-Highway Systems—are widespread, but also effectively unmodifiable and relatively unknown to most of their owners. For example, with mobile devices, each network interface (cellular, Bluetooth, WiFi) requires a minimum of one unique hardware identifier—all uniquely trackable. One hand, aggregating these unique identifiers allows services like Google, Skyhook, and others to associate geolocation data with WiFi access points and provide useful services. On the other hand, Samy Kamkar’s work described in Hack pinpoints where you live: How I met your girlfriend shows the potentially awkward and invasive side effects. ...