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Rajnath Singh visits North-east, expresses concern over border-security

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Guwahati: Union Home Minister Rajnath Singh on Saturday expressed concerns over the recent developments along India-Myanmar border and said he has constituted a committee to review how to effectively manage the issue.

Addressing the northeast chief ministers’ meet here, he said the committee, headed by security expert R.N. Ravi, has already reviewed the situation and is expected to submit its report soon.

The minister said: “We should not ignore the border population. There are 240 villages with over two lakh population within 10 km of the India-Myanmar border.”

“This large population is without any security cover. They are at the mercy of insurgents. Similar situation prevails along the India-Bhutan border,” he added.

(IANS)

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Paytm is Testing ‘Face Login’ Feature, To Increase Security

The company has tested this feature extensively with over 10,000 distinct faces and witnessed nearly 100 per cent accuracy.

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Security, Paytm
Paytm testing 'Face Login' feature.

To further secure its platform, digital payments company Paytm on Monday said it is testing a new “Face Login” security feature on its Android beta app.

According to One97 Communications, that owns the brand Paytm, the new feature will enable users to log in to their app by simply looking at their phone.

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Paytm, Wikimedia

This will be an important security update for Paytm users that is designed to prevent phishing attacks by providing an additional security layer of biometric security, the company said in a statement.

“Our team is currently working on enhancing our proprietary algorithms to make it more intuitive for users. This will make accessing Paytm account even simpler and faster, prevent phishing attacks and offer instant access on the go,” said Deepak Abbot, Senior Vice President-Paytm.

Also Read: Paytm Acquires Smart Savings Start Up Balance Tech

The company has tested this feature extensively with over 10,000 distinct faces and witnessed nearly 100 per cent accuracy. To achieve this, the app maps over 200 distinct parameters on the human face for high accuracy. (IANS)

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