Is It Possible to Hide My Key into Deep Neural Network?

0Citations
Citations of this article
10Readers
Mendeley users who have this article in their library.
Get full text

Abstract

The use of cryptographic functions has become vital for various devices, such as PCs, smart phones, drones, and smart appliances; however, the secure storage of cryptographic keys (or passwords) is a major issue. One way to securely store such a key is to register the key using secret data such as biometric data and then regenerate the key whenever it is needed. In this paper, we present a novel methodology for hiding cryptographic keys inside a deep neural network (DNN), and is termed as the DNN-based key hiding scheme. In this method, DNNs are constructed and trained with noisy data to hide the key within the network. To prove that our methodology works in practice, we propose an example of the DNN-based key hiding scheme and prove its correctness. For its robustness, we propose two basic security analysis tools to be able to check the example’s security. To the best of our knowledge, this is the first attempt of its kind.

Cite

CITATION STYLE

APA

Kim, T., Youn, T. Y., & Choi, D. (2020). Is It Possible to Hide My Key into Deep Neural Network? In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11897 LNCS, pp. 259–272). Springer. https://doi.org/10.1007/978-3-030-39303-8_20

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free