BenQ has launched its GP10 Ultra-Lite Wireless LED projector for home users. It weighs 1.5 kg and comes with power-efficient LED projection technology, 720p HD-ready short-throw projection, 30,000 hours of lamp life.
It also features an LED light source; 550 ANSI lumen brightness; optional detachable DVD player; HDMI multimedia connectivity; USB multiple format support for movies, pictures and music; wireless display; SD card slot; and two built-in 3W stereo speakers with SRS.
The GP10 is capable of projecting 160 inch 720p HD-quality image. It has a 10,000:1 contrast ratio and 100 percent NTSC wide color gamut performance. The projector is equipped with multimedia connectivity to support DVD players, DTH and set-top boxes, PCs, tablets, gaming consoles and Apple devices. The product is priced at an MRP of Rs 59,990, comes with a 2-year warranty, and is available at BenQ authorized distributors.
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How can you tell if a Facebook account is fake? Barracuda Labs is on
the case.
Barracuda Labs analyzed 2,884 active Facebook accounts to determine the differences between authentic ones and fake pages created by scammers and spammers.
Among the findings are:
•97 percent of fake profiles are created using women’s names, and 58 percent claim to be interested in both men and women.
•The fake profiles averaged 726 friends, while the authentic ones averaged just 130.
•15 percent of the actual profiles had no status updates, while that figure soared to 43 percent for the fakes.
Barracuda Networks Chief Research Officer Paul Judge said:
Likes, news feeds, and apps have helped lead Facebook to its social network dominance, and now attackers are harnessing those same features to efficiently scale their efforts. These fake profiles and apps give attackers a long-lived path to continuously present malicious links to innocent users.
Also, researchers have shown how friending malicious accounts can lead to account takeover using Facebook’s trusted friend account recovery (http://www.allfacebook.com/facebook-privacy-improves-2011-10). We have analyzed thousands of fake accounts to determine features and patterns that distinguish them from real users, and created a feature-based heuristic engine to distinguish real users from fake profiles
