WE-FORGE:A canary trap to confuse hackers

May 12, 2021 | Vanshika Kaushik

WE-FORGE:A canary trap to confuse hackers title banner

A canary trap is a method to expose information leak by giving different versions of a sensitive document to various suspects which helps in determining which version of the documents gets leaked.

 

Canary trap is specifically used to identify information leak centres.As hackers are devising new ways to hack the systems it becomes important to strengthen the CyberSecurity System.

 

Researchers from the Department of Computer Science have developed WE FORGE, a new data protection system that uses AI to build canary traps. The system will automatically create false documents to protect intellectual property like Drug design and Military technology.

 

Cybersecurity experts use canary traps and honey files to create decoys that deceive the attackers.

 

WE-FORGE uses NLP to create multiple fake files that appear to be realistic and true. The system produces the files that are impossible to distinguish from the original ones. When the hackers hack the document it becomes impossible to distinguish between the real and the fake document. 

 

The WE-FORGE algorithm works by computing similarities between concepts in a document and then analyzing how relevant each word is to the document. The system then sorts concepts into “bins” and computes the feasible candidate for each group.

 

Recommended blog: Top 10 Examples of NLP

 

Unlike other tools, WE-FORGE specializes in falsifying technical information rather than just concealing simple information, such as passwords.

 

WE-FORGE improves on an earlier version of the system—known as FORGE—by removing the time-consuming need to create guides of concepts associated with specific technologies. 

 

WE-FORGE also ensures that there is greater diversity among fakes, and follows an improved technique for selecting concepts to replace and their replacements.

 

According to SciTechDaily, Using this technique, we force an adversary to waste time and effort in identifying the correct document. Even if they do, they may not have confidence that they got it right,” says Subrahmanian.

Tags #Artificial intelligence
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