Generating Realistic Fake Equations in Order to Reduce Intellectual Property Theft

Yanhai Xiong, Giridhar Kaushik Ramachandran, Rajesh Ganesan, Sushil Jajodia, V. S. Subrahmanian

Research output: Contribution to journalArticlepeer-review

Abstract

According to Symantec, the average gap from the time a company is compromised by a zero-day attack to the time the vulnerability is discovered is 312 days. This leaves an adversary with a lot of time to exfiltrate corporate IP. Recent work has suggested automatically generating multiple fake versions of a document to impose costs on the attacker who needs to correctly identify the original document from a set of mostly fake documents. But in the real world, documents contain many diverse components. In this article, we focus on technical documents that often contain equations. We present FEE (Fake Equation Engine), a framework to generate fake equations in such documents. FEE tries to preserve multiple aspects of a given equation when generating a fake. Moreover, FEE is very general and applies to diverse equational forms including polynomial equations, differential equations, transcendental equations, and more. FEE iteratively solves a complex, changing optimization problem inside it. We also present FEE-FAST a fast approximate algorithm to solve the optimization problem within FEE. Using a panel of human subjects, we show that FEE achieves a high rate in deceiving sophisticated subjects.

Original languageEnglish (US)
Pages (from-to)1434-1445
Number of pages12
JournalIEEE Transactions on Dependable and Secure Computing
Volume19
Issue number3
DOIs
StatePublished - 2022
Externally publishedYes

Keywords

  • Cybersecurity
  • Deception
  • Intellectual property theft

ASJC Scopus subject areas

  • Computer Science(all)
  • Electrical and Electronic Engineering

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