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Method and System for Implementing a Cognitive Technique to Search Internet and Intranet for Sensitive, Confidential, and/or Compromising Information

IP.com Disclosure Number: IPCOM000249233D
Publication Date: 2017-Feb-10
Document File: 4 page(s) / 41K

Publishing Venue

The IP.com Prior Art Database

Abstract

A method and system is disclosed that employs cognitive computing and natural language processing (NLP) technology to determine proposed information that may be inappropriate to be shared as well as what existing information on the internet and/or intranet is already inappropriately shared, dependent on standard criteria and flexible end user specifications.

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Method and System for Implementing a Cognitive Technique to Search Internet and Intranet for Sensitive, Confidential, and/or Compromising Information

With the ever increasing proliferation of social media, blogs, websites and other internet and intranet mechanisms for sharing information, it is more likely for information that is shared to be sensitive, confidential, compromising or private. This information spans a very wide range of topics and areas, including, but not limited to, finances, espionage, national security, terrorism, identity theft, personal safety, healthcare, reputation.

The information may be shared inappropriately while using social media to describe upcoming vacation plans and employment websites to list current job responsibilities or in cases where information is shared to harm the personal or professional reputations of individuals or for far more insidious information sharing purposes including, but not limited to, criminal, espionage, terrorism.

In addition, with the explosive proliferation of unstructured and structured data ("Big Data"), the capability to search available information is increasingly difficult and challenging.

Thus, there is a need for a method and system that enables an individual end user to set customizable criteria with great levels of flexibility and minimal end user effort while searching for sensitive or confidential information on the internet and/or intranet.

Disclosed is a method and system that employs cognitive computing and natural language processing (NLP) technology to determine proposed information that may be inappropriate to be shared as well as what existing information on the Internet and/or intranet is already inappropriately shared, dependent on standard criteria and flexible end user specifications.

The method and system utilizes NLP technology to learn a wide range of criteria for information sharing including, but not limited to, spanning languages, dialects, societies, cultures, countries, geographies, industries, religions, age groups. Further, the NLP technology learns an end user's specifications for appropriate information sharing, including a scoring mechanism incorporating the end user's specifications and the standard criteria per focus area. The specifications for information sharing are flexible as the end user is provided the capability to adjust the specifications in real-time as well as to save the specifications for historical reference or use. Further, the end user is provided the capability to change criteria for information sharing on the fly and not be tied to any one or more content evaluation criteria standards related to information sharing.

Further, the method and system stores scores related to information sharing locally on the end user's device at any time for either future or historical reference and for cognitive learning necessary to determine many aspects of new information to be reviewed or shared more efficiently and accurately. In addition,...