Hello students there is a photo session of all final year students , organized in college on Monday morning i.e, on 16/3/2015.
Friday, 13 March 2015
Monday, 9 March 2015
Friday, 27 February 2015
Thursday, 26 February 2015
More Watchful Eye Needed on 'Dark Web' and Cybercriminal Activities, Notes New Paper
FierceGovernmentIT
(02/23/15) Dibya Sarkar
New research calls for increased monitoring of the Dark Web by security researchers and government investigators. Criminal enterprises are looking to use the hidden portion of the World Wide Web for illicit drug trades, arms trafficking, and even terrorism, says a paper published by the Global Commission on Internet Governance. "The Dark Web has the potential to host an increasingly large number of malicious services and activities and, unfortunately, it will not be long before new large marketplaces emerge," warn the authors, former U.S. Homeland Security Secretary Michael Chertoff and Synergia Foundation president Tobby Simon. Governments, journalists, and dissidents have turned to this part of the deep Web for anonymity, but many cybercriminals also are committed to using this platform to prevent monitoring. Chertoff and Simon note the complex composition and design of the Dark Web pose a challenge to efforts to monitor activities. They are calling for a comprehensive security response, which includes mapping the hidden services directory, analyzing customer Web data for connections to non-standard domains, and monitoring social media sites that exchange information and addresses for new hidden services.
New research calls for increased monitoring of the Dark Web by security researchers and government investigators. Criminal enterprises are looking to use the hidden portion of the World Wide Web for illicit drug trades, arms trafficking, and even terrorism, says a paper published by the Global Commission on Internet Governance. "The Dark Web has the potential to host an increasingly large number of malicious services and activities and, unfortunately, it will not be long before new large marketplaces emerge," warn the authors, former U.S. Homeland Security Secretary Michael Chertoff and Synergia Foundation president Tobby Simon. Governments, journalists, and dissidents have turned to this part of the deep Web for anonymity, but many cybercriminals also are committed to using this platform to prevent monitoring. Chertoff and Simon note the complex composition and design of the Dark Web pose a challenge to efforts to monitor activities. They are calling for a comprehensive security response, which includes mapping the hidden services directory, analyzing customer Web data for connections to non-standard domains, and monitoring social media sites that exchange information and addresses for new hidden services.
Intel Haifa Researchers Teach Seeing Computers to Think
Haaretz.com
(Israel) (02/25/15) Inbal Orpaz
Intel Haifa researchers have developed a prototype mechanical eye that can read 300 labels of 300 items simultaneously and select the one the user is seeking. "There are endless uses for a computer able to analyze and understand a picture it takes," says Intel Haifa researcher Ofri Wechsler. "We want to put a small 'brain' in all these cameras to discard the 99 percent of the frames that are uninteresting and only send to the cloud or further analysis the few that contain something important worth looking at." Intel relies on deep-learning technology, part of a larger branch of scientific study called machine learning, which deals with developing computer systems that can learn autonomously. In deep learning, the computer needs to analyze without help from orders or conditions that a program previously defined. Wechsler says his work represents an evolution of computing ability, as well as a transition from an era in which humans learned to speak machine language to an era in which the machine learns to speak human language. "In the coming years, we'll see progress in the field of conceptual computerization and a transition to a language more natural for humans," Wechsler says.
Intel Haifa researchers have developed a prototype mechanical eye that can read 300 labels of 300 items simultaneously and select the one the user is seeking. "There are endless uses for a computer able to analyze and understand a picture it takes," says Intel Haifa researcher Ofri Wechsler. "We want to put a small 'brain' in all these cameras to discard the 99 percent of the frames that are uninteresting and only send to the cloud or further analysis the few that contain something important worth looking at." Intel relies on deep-learning technology, part of a larger branch of scientific study called machine learning, which deals with developing computer systems that can learn autonomously. In deep learning, the computer needs to analyze without help from orders or conditions that a program previously defined. Wechsler says his work represents an evolution of computing ability, as well as a transition from an era in which humans learned to speak machine language to an era in which the machine learns to speak human language. "In the coming years, we'll see progress in the field of conceptual computerization and a transition to a language more natural for humans," Wechsler says.
Tuesday, 24 February 2015
Thursday, 5 February 2015
Remainder !! 7/2/2015
Hello Students ( 6th Semester) , as per schedule you are supposed to submit your project synopsis to your respective guides by 7/2/2015, with out fail. I have sent mail to all , if any could not receive email , kindly contact me and update your email id.
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