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

Taehyuk Kim; Taek Young Youn; Dooho Choi

doi:10.1007/978-3-030-39303-8_20

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

Taehyuk Kim
, Taek Young Youn
, Dooho Choi^*

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English
Title of host publication	Information Security Applications - 20th International Conference, WISA 2019, Revised Selected Papers
Editors	Ilsun You
Publisher	Springer
Pages	259-272
Number of pages	14
ISBN (Print)	9783030393021
DOIs	https://doi.org/10.1007/978-3-030-39303-8_20
Publication status	Published - 2020
Externally published	Yes
Event	20th World Conference on Information Security Applications, WISA 2019 - Jeju Island, Korea, Republic of Duration: 2019 Aug 21 → 2019 Aug 24

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11897 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	20th World Conference on Information Security Applications, WISA 2019
Country/Territory	Korea, Republic of
City	Jeju Island
Period	19/8/21 → 19/8/24

Bibliographical note

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

Keywords

Deep neural network
Key generation
Key hiding
Noisy data
Physical unclonable function

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-030-39303-8_20

Cite this

Kim, T., Youn, T. Y., & Choi, D. (2020). Is It Possible to Hide My Key into Deep Neural Network? In I. You (Ed.), Information Security Applications - 20th International Conference, WISA 2019, Revised Selected Papers (pp. 259-272). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11897 LNCS). Springer. https://doi.org/10.1007/978-3-030-39303-8_20

Is It Possible to Hide My Key into Deep Neural Network? / Kim, Taehyuk; Youn, Taek Young; Choi, Dooho.
Information Security Applications - 20th International Conference, WISA 2019, Revised Selected Papers. ed. / Ilsun You. Springer, 2020. p. 259-272 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11897 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kim, T, Youn, TY & Choi, D 2020, Is It Possible to Hide My Key into Deep Neural Network? in I You (ed.), Information Security Applications - 20th International Conference, WISA 2019, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11897 LNCS, Springer, pp. 259-272, 20th World Conference on Information Security Applications, WISA 2019, Jeju Island, Korea, Republic of, 19/8/21. https://doi.org/10.1007/978-3-030-39303-8_20

Kim T, Youn TY, Choi D. Is It Possible to Hide My Key into Deep Neural Network? In You I, editor, Information Security Applications - 20th International Conference, WISA 2019, Revised Selected Papers. Springer. 2020. p. 259-272. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-39303-8_20

Kim, Taehyuk ; Youn, Taek Young ; Choi, Dooho. / Is It Possible to Hide My Key into Deep Neural Network?. Information Security Applications - 20th International Conference, WISA 2019, Revised Selected Papers. editor / Ilsun You. Springer, 2020. pp. 259-272 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{7a73a493b374431fa91a7e0ade653ed9,

title = "Is It Possible to Hide My Key into Deep Neural Network?",

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{\textquoteright}s security. To the best of our knowledge, this is the first attempt of its kind.",

keywords = "Deep neural network, Key generation, Key hiding, Noisy data, Physical unclonable function",

author = "Taehyuk Kim and Youn, \{Taek Young\} and Dooho Choi",

note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 20th World Conference on Information Security Applications, WISA 2019 ; Conference date: 21-08-2019 Through 24-08-2019",

year = "2020",

doi = "10.1007/978-3-030-39303-8\_20",

language = "English",

isbn = "9783030393021",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer",

pages = "259--272",

editor = "Ilsun You",

booktitle = "Information Security Applications - 20th International Conference, WISA 2019, Revised Selected Papers",