Using Deep Learning to Generate Relational HoneyData

Although there has been a plethora of work in generating deceptive applications, generating deceptive data that can easily fool attackers received very little attention. In this book chapter, we discuss our secure deceptive data generation framework that makes it hard for an attacker to distinguish between the real versus deceptive data. Especially, we discuss how to generate such deceptive data using deep learning and differential privacy techniques. In addition, we discuss our formal evaluation framework.

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