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.
Monday 2 February 2015
New Search Engine Lets Users Look for Relevant Results Faster
New Search Engine Lets Users Look for Relevant Results
Faster
Aalto University (01/27/15)
Researchers at the Helsinki Institute for Information Technology believe they have developed technology that will make Web searches more efficient. The new search engine is designed to show related keywords and topics to help those who do not know exactly what they are looking for or how to formulate a query to find it. The SciNet search engine features a topic radar to display the range of keywords and topics, and how they are related to each other. The relevance is tied to its distance from the center point of the radar, with the most related being closest to the center. Users would indicate what information is most useful by moving the words around the keyword cloud. The search engine also provides alternatives that are connected to the topic but which the user might not have thought of querying. "It's easier for people to recognize what information they want from the options offered by the SciNet search engine than it is to type it themselves," says project coordinator Tuukka Ruotsalo.
Aalto University (01/27/15)
Researchers at the Helsinki Institute for Information Technology believe they have developed technology that will make Web searches more efficient. The new search engine is designed to show related keywords and topics to help those who do not know exactly what they are looking for or how to formulate a query to find it. The SciNet search engine features a topic radar to display the range of keywords and topics, and how they are related to each other. The relevance is tied to its distance from the center point of the radar, with the most related being closest to the center. Users would indicate what information is most useful by moving the words around the keyword cloud. The search engine also provides alternatives that are connected to the topic but which the user might not have thought of querying. "It's easier for people to recognize what information they want from the options offered by the SciNet search engine than it is to type it themselves," says project coordinator Tuukka Ruotsalo.
Coder Creates Smallest Chess Game for Computers
Coder Creates Smallest Chess Game for Computers
BBC News (01/28/15) Leo Kelion
The Sinclair ZX81 computer game 1K ZX Chess is no longer the smallest-sized chess computer program, as French coder Olivier Poudade has created BootChess, which is only 487 bytes in size, and the code can run on Windows, Mac OS X, and Linux computers. David Horne's 1K ZX Chess contained 672 bytes of code and had held the record for 33 years. Poudade, who says creating something smaller seemed impossible at first, achieved his goal by making BootChess even more basic than its 1982 predecessor. The board and pieces are represented by text alone, with P representing pawns, Q used for the queens, and full stops put in the place of empty squares. Poudade hopes BootChess will inspire more programmers to get involved in the sizecoding scene. "[It] demonstrates why assembly language is still the language of choice to excel [at] in programming," he says. "[And it] reminds others that optimizing in computer programming is not only about speed, but also about size."
BBC News (01/28/15) Leo Kelion
The Sinclair ZX81 computer game 1K ZX Chess is no longer the smallest-sized chess computer program, as French coder Olivier Poudade has created BootChess, which is only 487 bytes in size, and the code can run on Windows, Mac OS X, and Linux computers. David Horne's 1K ZX Chess contained 672 bytes of code and had held the record for 33 years. Poudade, who says creating something smaller seemed impossible at first, achieved his goal by making BootChess even more basic than its 1982 predecessor. The board and pieces are represented by text alone, with P representing pawns, Q used for the queens, and full stops put in the place of empty squares. Poudade hopes BootChess will inspire more programmers to get involved in the sizecoding scene. "[It] demonstrates why assembly language is still the language of choice to excel [at] in programming," he says. "[And it] reminds others that optimizing in computer programming is not only about speed, but also about size."
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