Posts

Showing posts with the label Microsoft

WPA2 Wi-Fi Vulnerability to KRACK Attacks Already Patched by Microsoft, Apple; Google Working on Fix

Image
A newly discovered flaw in the widely used Wi-Fi encryption protocol – WPA2 – could leave millions of users vulnerable to attacks, prompting warnings Monday from the US government and security researchers worldwide. The US government's Computer Emergency Response Team (CERT) issued a security bulletin saying the flaw can open the door to hackers seeking to eavesdrop on or hijack devices using wireless networks. "Exploitation of these vulnerabilities could allow an attacker to take control of an affected system," said CERT, which is part of the US Department of Homeland Security. he agency's warning came on the heels of research by computer scientists at the Belgian university KU Leuven, who dubbed the flaw KRACK, for Key Reinstallation Attack. The KRACK attacks target Wi-Fi clients using the WPA2 protocol, and affected operating systems include Linux and Android, with version 6.0 and above said to be especially vulnerable. Also affected are Wi-Fi capable dev...

Amazon, Microsoft launch open-source deep learning platform

Image
Amazon Web Services (AWS) and Microsoft have teamed up to launch an open-source and deep learning interface ‘Gluon’ that will help developers to deploy machine learning models across several platforms. According to a report in ZDNet, the interface would give developers a place where they can prototype, build, train and deploy machine learning models. “Today’s reality is that building and training machine learning models requires a great deal of heavy lifting and specialised expertise,” Swami Sivasubramanian, Vice President of Amazon AI was quoted as saying. “We created the Gluon interface so building neural networks and training models can be as easy as building an app,” Sivasubramanian added. The companies claim that ‘Gluon’ is a concise, easy-to-understand programming interface compared to other offerings, and it gives developers a chance to quickly prototype and experiment with neural network models without sacrificing performance. “We believe it is important for the ...