Communications of the ACM
Cybersecurity Researchers Build Better 'Canary Trap'
Canary traps can be used to sniff out information leaks or, as in World Ware II, to create distractions that hide valuable information.
Credit: GCN.com
The WE-FORGE data protection system developed by Dartmouth College cybersecurity researchers uses an artificial intelligence version of the "canary trap," in which multiple false documents are distributed to conceal secrets.
The system uses natural language processing to automatically generate false documents to protect intellectual property.
WE-FORGE also adds an element of randomness to keep adversaries from easily identifying actual documents.
The algorithm computes similarities between concepts in a document, analyzes each word's relevance, then sorts concepts into "bins" and computes a feasible candidate for each group.
Dartmouth's V.S. Subrahmanian said, "The system produces documents that are sufficiently similar to the original to be plausible, but sufficiently different to be incorrect."
From Dartmouth News
View Full Article
Abstracts Copyright © 2021 SmithBucklin, Washington, DC, USA
No entries found