Dutch police crack encrypted communications network

Boston Herald

Dutch police and prosecutors took down an encrypted communications network Tuesday believed to have been used by criminals in the Netherlands and possibly overseas. Prosecutors said in a statement that they arrested a 36-year-old man in the eastern city of Nijmegen who is suspected of money laundering. He is the owner of a company which allegedly "provided criminals with customized smartphones and accompanying communication services." The company sold mobile phones for 1,500 euros ( 1,700) that had been protected with legal encryption software called Pretty Good Privacy, or PGP, and could be used only for email, said cybercrime prosecutor Martijn Egberts. "You pay a very high price for a phone you can't make calls on," cybercrime prosecutor Martijn Egberts said in a telephone interview.


Half of U.S. adults are profiled in police facial recognition databases

PCWorld

Photographs of nearly half of all U.S. adults--117 million people--are collected in police facial recognition databases across the country with little regulation over how the networks are searched and used, according to a new study. Along with a lack of regulation, critics question the accuracy of facial recognition algorithms. Meanwhile, state, city, and federal facial recognition databases include 48 percent of U.S. adults, said the report from the Center on Privacy & Technology at Georgetown Law. The search of facial recognition databases is largely unregulated, the report said. "A few agencies have instituted meaningful protections to prevent the misuse of the technology," its authors wrote.


Half of US adults are profiled in police facial recognition databases

PCWorld

Photographs of nearly half of all U.S. adults -- 117 million people -- are collected in police facial recognition databases across the country with little regulation over how the networks are searched and used, according to a new study. Along with a lack of regulation, critics question the accuracy of facial recognition algorithms. Meanwhile, state, city, and federal facial recognition databases include 48 percent of U.S. adults, said the report from the Center on Privacy & Technology at Georgetown Law. The search of facial recognition databases is largely unregulated, the report said. "A few agencies have instituted meaningful protections to prevent the misuse of the technology," its authors wrote.


How can the smart effect help build human-robot trust?

#artificialintelligence

Strategic messaging that precedes human-robot interaction can help build the trust needed for effective human-robot communication and positive interaction outcomes, according to a study published in Cyberpsychology, Behavior, and Social Networking. The article entitled "Advancing the Strategic Messages Affecting Robot Trust Effect: The Dynamic of User- and Robot-Generated Content on Human-Robot Trust and Interaction Outcomes" examines the impact of Strategic Messages Affecting Robot Trust (SMART). The researchers conducted two experiments in which they studied the effects of either user-generated information or robot-generated content delivered in the pre-interaction stage on human-robot trust and interaction outcomes. "As human robot interactions become more prevalent in both our personal and professional lives, it becomes increasingly more important that we understand how to work together most effectively," says Editor-in-Chief Brenda K. Wiederhold, PhD, MBA, BCB, BCN, Interactive Media Institute, San Diego, California and Virtual Reality Medical Institute, Brussels, Belgium. "Drawing on lessons learned from previous animal-human interaction training prior to our engagement may serve to create improved trust and communications."


How To Hack The Police: Vigilante Hacker Publishes Online Tutorial Video

International Business Times

The hacker responsible for leaking 400GB of data from Italian spyware firm Hacking Team has published a tutorial video showing those seeking to follow in his footsteps how to hack a police website. Known variously as Phineas Fisher, GammaGroupPR and Hack Back, the anonymous hacker published the video on YouTube showing how he hacked the website of the Catalan Police Union or Sindicat De Mossos d'Esquadra (SME). The hacker is seen obtaining data, including police officers' names, bank details and badge numbers -- all of which he has since dumped online. YouTube removed the video as it violated the company's policies but the hacker has published several mirrors of the video elsewhere online and while some have been taken offline, at least one remains live at the time of publication. Phineas Fisher rose to prominence in July 2015 when he published a huge trove of data, including company emails and documents as well as the source code of the company's intrusive spying tools on the internet, revealing details of which governments and law enforcement agencies the company was working with, including the FBI, Drug Enforcement Agency and Department of Defense.