concealment writes: "Matching a user's mobility trace to their identity "can provide information about habits, interests and activities—or anomalies to them—which in turn may be exploited for illicit gain via theft, blackmail, or even physical violence," stated the research. It's worth a read to see how the researchers used Wi-Fi hotspots on a university campus, captured chats via instant messengers, as well as Bluetooth connectivity to show inter-user correlations. In these social network side channel attacks, they were able to strip out privacy and deanonymize users via their mobility traces with an accuracy of 80%. And this flyer claimed that the "proposed algorithms to quantify information released in location traces, using social networks as a side-channel, are within 90% of the optimal."" Link to Original Source
Real Programmers don't write in FORTRAN. FORTRAN is for pipe stress freaks and
crystallography weenies. FORTRAN is for wimp engineers who wear white socks.