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Group secret key generation in wireless networks: algorithms and rate optimization

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Group secret key generation in wireless networks: algorithms and rate optimization . / Xu, Peng; Cumanan, Kanapathippillai; Ding, Zhiguo et al.
In: IEEE Transactions on Information Forensics and Security, Vol. 11, No. 8, 08.08.2016, p. 1831-1846.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Xu, P, Cumanan, K, Ding, Z & Dai, X 2016, 'Group secret key generation in wireless networks: algorithms and rate optimization ', IEEE Transactions on Information Forensics and Security, vol. 11, no. 8, pp. 1831-1846. https://doi.org/10.1109/TIFS.2016.2553643

APA

Xu, P., Cumanan, K., Ding, Z., & Dai, X. (2016). Group secret key generation in wireless networks: algorithms and rate optimization . IEEE Transactions on Information Forensics and Security, 11(8), 1831-1846. https://doi.org/10.1109/TIFS.2016.2553643

Vancouver

Xu P, Cumanan K, Ding Z, Dai X. Group secret key generation in wireless networks: algorithms and rate optimization . IEEE Transactions on Information Forensics and Security. 2016 Aug 8;11(8):1831-1846. Epub 2016 Apr 13. doi: 10.1109/TIFS.2016.2553643

Author

Xu, Peng ; Cumanan, Kanapathippillai ; Ding, Zhiguo et al. / Group secret key generation in wireless networks : algorithms and rate optimization . In: IEEE Transactions on Information Forensics and Security. 2016 ; Vol. 11, No. 8. pp. 1831-1846.

Bibtex

@article{65c937207b7443d0bc2a20562d2bfc5b,
title = "Group secret key generation in wireless networks: algorithms and rate optimization ",
abstract = "This paper investigates group secret key generation problems for different types of wireless networks, by exploiting physical layer characteristics of wireless channels. A new group key generation strategy with low complexity is proposed, which combines the well-established point-to-point pairwise key generation technique, the multisegment scheme, and the one-time pad. In particular, this group key generation process is studied for three types of communication networks: 1) the three-node network; 2) the multinode ring network; and 3) the multinode mesh network. Three group key generation algorithms are developed for these communication networks, respectively. The analysis shows that the first two algorithms yield optimal group key rates, whereas the third algorithm achieves the optimal multiplexing gain. Next, for the first two types of networks, we address the time allocation problem in the channel estimation step to maximize the group key rates. This non-convex max-min time allocation problem is first reformulated into a series of geometric programming, and then, a single-condensation-method-based iterative algorithm is proposed. Numerical results are also provided to validate the performance of the proposed key generation algorithms and the time allocation algorithm.",
author = "Peng Xu and Kanapathippillai Cumanan and Zhiguo Ding and Xuchu Dai",
note = "{\textcopyright}2016 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.",
year = "2016",
month = aug,
day = "8",
doi = "10.1109/TIFS.2016.2553643",
language = "English",
volume = "11",
pages = "1831--1846",
journal = "IEEE Transactions on Information Forensics and Security",
issn = "1556-6013",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "8",

}

RIS

TY - JOUR

T1 - Group secret key generation in wireless networks

T2 - algorithms and rate optimization

AU - Xu, Peng

AU - Cumanan, Kanapathippillai

AU - Ding, Zhiguo

AU - Dai, Xuchu

N1 - ©2016 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

PY - 2016/8/8

Y1 - 2016/8/8

N2 - This paper investigates group secret key generation problems for different types of wireless networks, by exploiting physical layer characteristics of wireless channels. A new group key generation strategy with low complexity is proposed, which combines the well-established point-to-point pairwise key generation technique, the multisegment scheme, and the one-time pad. In particular, this group key generation process is studied for three types of communication networks: 1) the three-node network; 2) the multinode ring network; and 3) the multinode mesh network. Three group key generation algorithms are developed for these communication networks, respectively. The analysis shows that the first two algorithms yield optimal group key rates, whereas the third algorithm achieves the optimal multiplexing gain. Next, for the first two types of networks, we address the time allocation problem in the channel estimation step to maximize the group key rates. This non-convex max-min time allocation problem is first reformulated into a series of geometric programming, and then, a single-condensation-method-based iterative algorithm is proposed. Numerical results are also provided to validate the performance of the proposed key generation algorithms and the time allocation algorithm.

AB - This paper investigates group secret key generation problems for different types of wireless networks, by exploiting physical layer characteristics of wireless channels. A new group key generation strategy with low complexity is proposed, which combines the well-established point-to-point pairwise key generation technique, the multisegment scheme, and the one-time pad. In particular, this group key generation process is studied for three types of communication networks: 1) the three-node network; 2) the multinode ring network; and 3) the multinode mesh network. Three group key generation algorithms are developed for these communication networks, respectively. The analysis shows that the first two algorithms yield optimal group key rates, whereas the third algorithm achieves the optimal multiplexing gain. Next, for the first two types of networks, we address the time allocation problem in the channel estimation step to maximize the group key rates. This non-convex max-min time allocation problem is first reformulated into a series of geometric programming, and then, a single-condensation-method-based iterative algorithm is proposed. Numerical results are also provided to validate the performance of the proposed key generation algorithms and the time allocation algorithm.

U2 - 10.1109/TIFS.2016.2553643

DO - 10.1109/TIFS.2016.2553643

M3 - Journal article

VL - 11

SP - 1831

EP - 1846

JO - IEEE Transactions on Information Forensics and Security

JF - IEEE Transactions on Information Forensics and Security

SN - 1556-6013

IS - 8

ER -