Tragedy struck Sacramento, California this past weekend after a photographer and high school art teacher was killed while taking pictures of trains.
Kathy Carlisle, a 52-year-old instructor at St. Francis High, was photographing an approaching train from an adjacent track when she was struck from behind by another train headed in the opposite direction. Read more…
Earlier this month the US Army published an article warning its soldiers that the ubiquitousness of geotagged photographs these days can present a serious security risk, citing a real-world example of something that happened back in 2007:
When a new fleet of helicopters arrived with an aviation unit at a base in Iraq, some Soldiers took pictures on the flightline, he said. From the photos that were uploaded to the Internet, the enemy was able to determine the exact location of the helicopters inside the compound and conduct a mortar attack, destroying four of the AH-64 Apaches.
Officer Kent Grosshans recommends disabling the geotagging feature on your phone (or camera) and double-checking your social media settings to see who you’re sharing location-based info with, regardless of whether you’re an enlisted soldier or a civilian.
Facial recognition features are appearing in everything from cameras to photo-sharing sites, but have you thought about the different security and privacy concerns it introduces? Fast Company has published a piece on how mobile apps in the future may be able to quickly look up your identity, your personal information, and perhaps even your social security number!
[CMU researchers] used three relatively simple technologies to create their face recognition system: An off-the-shelf face recognizer, cloud computing processing, and personal data available through the public feed at social networking sites such as Facebook [...] Combining the data gathered from the face recognizer hardware with clever search algorithms that were processed on a cloud-computing platform, the team has performed three powerful experiments: They were able to “unmask” people on a popular dating site where it’s common to protect real identities using pseudonyms, and they ID’d students walking in public on campus by grabbing their profile photos from Facebook.
Most impressively the research algorithm tried to predict personal interests and even to deduce the social security number of CMU students based solely on an image of their face–by interrogating deeper into information that’s freely available online.