TY - GEN
T1 - Adaptive and dynamic device authentication using Lorenz chaotic systems
AU - Bu, Lake
AU - Cheng, Hai
AU - Kinsy, Michel A.
N1 - Funding Information:
V. ACKNOWLEDGMENTS This research is partially supported by the NSF grant (No. CNS-1745808).
Publisher Copyright:
© 2018 IEEE
PY - 2019/1/22
Y1 - 2019/1/22
N2 - Chaotic systems such as Lorenz functions have been proposed as cryptographic primitives due to their short-range divergence attributes. They are commonly used in pseudo random number generators, key agreement protocols, and certain classes of encryption procedures. These functions are typically used for their chaotic behavior. However, two of their key properties are often overlooked: (1) their long-range convergence behavior is seldom used, and (2) the static nature of their system parameters is disregarded. The static nature of the system parameters, i.e., core secret, renders these functions vulnerable to a number of attacks when they are deployed in security applications. In this work, we examine these usage gaps and discover compelling security applications for these chaotic systems, in particular, Lorenz chaotic systems. In this paper, we propose an adaptive and dynamic authentication scheme based on discrete Lorenz chaotic systems. The scheme leverages Lorenz function's convergence to achieve a fast and lightweight authentication protocol. We also devise a dynamic parameter configuration technique to enhance the security of the protocol.
AB - Chaotic systems such as Lorenz functions have been proposed as cryptographic primitives due to their short-range divergence attributes. They are commonly used in pseudo random number generators, key agreement protocols, and certain classes of encryption procedures. These functions are typically used for their chaotic behavior. However, two of their key properties are often overlooked: (1) their long-range convergence behavior is seldom used, and (2) the static nature of their system parameters is disregarded. The static nature of the system parameters, i.e., core secret, renders these functions vulnerable to a number of attacks when they are deployed in security applications. In this work, we examine these usage gaps and discover compelling security applications for these chaotic systems, in particular, Lorenz chaotic systems. In this paper, we propose an adaptive and dynamic authentication scheme based on discrete Lorenz chaotic systems. The scheme leverages Lorenz function's convergence to achieve a fast and lightweight authentication protocol. We also devise a dynamic parameter configuration technique to enhance the security of the protocol.
KW - Authentication
KW - Chaotic System
KW - Lorenz Function
KW - PUF
UR - http://www.scopus.com/inward/record.url?scp=85062221967&partnerID=8YFLogxK
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U2 - 10.1109/MWSCAS.2018.8623953
DO - 10.1109/MWSCAS.2018.8623953
M3 - Conference contribution
AN - SCOPUS:85062221967
T3 - Midwest Symposium on Circuits and Systems
SP - 976
EP - 979
BT - 2018 IEEE 61st International Midwest Symposium on Circuits and Systems, MWSCAS 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 61st IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2018
Y2 - 5 August 2018 through 8 August 2018
ER -