Microsoft Technology Licensing, LLC

Alcatel Lucent

Alcatel-lucent USA Inc.

Eko India Financial Services Pvt. Ltd.

Saurabh Panjwani

Thomas Y Woo

Sharad Jaiswal

Prasad G Naldurg

Animesh Nandi

Raghav Bhaskar

Nisheeth Shrivastava

Anupam Varghese

Saurabh Shukla

Abhinav Uppal

Abhinav Sinha

Abhishek Sinha

Systems and methods for preventing web services from using sensitive data in customizing web pages for a user. In one embodiment, a protection system is implemented between the user and the web service. The protection system identifies past interactions of the user with the web service, identifies text in the past interactions between the user and the web service, and identifies subjects discussed in the text. The protection system then communicates with the user to determine which of the subjects are sensitive to the user, and deletes a history stored by the web service for the user that relates to the sensitive subjects.

Protection of sensitive data of a user from being utilized by web services

The present invention describes a method for authenticating a user of a mobile device by a verification authority, by making use of at least a personal identification number (PIN) and at least one cryptographic key, such that the PIN and the cryptographic key is known only to the user and the verification authority. The cryptographic key has at least one session key. Firstly, the user encodes the PIN by using at least one session key and then transfers the encoded PIN to a predefined address of the verification authority via the mobile device. Next, the verification authority decodes the PIN by using the cryptographic key authenticates the user if the decoded PIN matches a PIN stored corresponding to the user.

Authentication method and device

Script-agnostic text reflow technique embodiments are presented that generally reflow text found in an image of a document in a manner that functions across multiple scripts, multiple fonts of a script and multiple languages using the same script. This generally involves segmenting regions of text in a document image into individual words and doing this without relying on any script-specific characteristics or requiring any form of character recognition. While segmenting text, the possible presence of accents, diacritics and punctuation marks is considered.

Script-agnostic text reflow for document images

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Bengaluru, India

Saurabh Panjwani