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IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)

Localization information-based secret key generation in wireless network to secure multimedia data

Qiang Wu, Jung Hwan Kim

Published Jun 1, 2016• 2 citations
Publisher

Abstract

Toward legitimate delivery of multimedia data in a wireless network, the localization information-based secret key generation algorithm for the network with more than three (m>3) nodes is proposed. Using the star topology network model, the maximum secret key generation rate (MSR) of the proposed algorithm is analytically derived and validated by computer simulation. The relationship between MSR, signal-noise ratio and size of the wireless network is also verified. Results of simulation under Gaussian noise confirm the feasibility of the proposed algorithm, which can be easily applicable to the multiple nodes mobile wireless network.

DOI
10.1109/bmsb.2016.7521992

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Toward legitimate delivery of multimedia data in a wireless network, the localization information-based secret key generation algorithm for the network with more than three (m>3) nodes is proposed. Using the star topology network model, the maximum secret key generation rate (MSR) of the proposed algorithm is analytically derived and validated by computer simulation. The relationship between MSR, signal-noise ratio and size of the wireless network is also verified. Results of simulation under Gaussian noise confirm the feasibility of the proposed algorithm, which can be easily applicable to the multiple nodes mobile wireless network.
Due to the shared nature of wireless medium, generating secret key between legitimate nodes under the presence of eavesdroppers remains challenging in wireless network environment.In this research, a framework of secret key agreement utilizing observations of nodes' relative location is considered.While many current works concern secret key generation only for 3-nodes (2 legitimate nodes and 1 eavesdropper), this research proposes an approach and analysis for a wireless network environment with m (m≥3) legitimate nodes and 1 eavesdropper.The proposed algorithm uses the distance between a randomly selected node 1 and node 2 as the Reference Distance (RD) to establish the secret key.In order to secure the delivery of RD to other m-2 nodes, an Additive Distance Value (ADV) is used for public discussion.Further, different types of topologies are developed to accomplish secret key agreement for m node wireless network including star, chain and hybrid topologies.After the ADV distribution and RD estimation, the secret key is generated through secret bit extraction.The Maximum achievable Secret key generation Rate (MSR) based on the above network topologies is studied through theoretical analysis and mathematical estimation.Based on these analyze, the feasibility of proposed secret key xi
We consider secret key generation from relative localization information of a pair of nodes in a mobile wireless network in the presence of a mobile eavesdropper. Our scheme consists of two phases: in the first phase, legitimate node pair exchanges beacon signals to establish localization information based on noisy observations of these beacons; in the second phase, nodes generate secret key bits via a public discussion. Our problem can be categorized under the source models of information theoretic secrecy, where the distance between the legitimate nodes acts as the observed common randomness. We characterize the achievable secret key bit rate in terms of the observation noise variance at the legitimate nodes and the eavesdropper. This work provides a framework that combines information theoretic secrecy and wireless localization, and proves that the localization information provides a significant additional resource for secret key generation in mobile wireless networks.
We consider secret key generation from relative localization information of a pair of nodes in a mobile wireless network in the presence of a mobile eavesdropper. Our problem can be categorized under the source models of information theoretic secrecy, where the distance between the legitimate nodes acts as the observed common randomness. We characterize the theoretical limits on the achievable secret key bit rate, in terms of the observation noise variance at the legitimate nodes and the eavesdropper. This work provides a framework that combines information theoretic secrecy and wireless localization, and proves that the localization information provides a significant additional resource for secret key generation in mobile wireless networks.
We consider secret key generation by a pair of mobile nodes utilizing observations of their relative locations in the presence of a mobile eavesdropper. In our proposed algorithm, the legitimate node pair makes noisy observations of the relative locations of each other. Based on these observations, the nodes generate secret key bits via information reconciliation, data compression, and privacy amplification. We characterize a theoretically achievable secret key bit rate in terms of the observation noise variance at the legitimate nodes and the eavesdropper and show that the performance of our algorithm is comparable to the theoretical bounds. We also test our algorithm in a vehicular setting based on observations made using wireless beacon exchange between the legitimate nodes. To achieve this, we used TelosB wireless radios mounted on the sides of the vehicles on local roads and freeways. Note that our approach relies solely on distance reciprocity, and thus, it is not restricted to the use of wireless radios and can be used with other localization systems (e.g., infrared and ultrasound systems) as well. Overall, this study proves, via both information theoretic and practical analysis, that localization information provides a significant additional resource for secret key generation in mobile networks.
Wireless sensor networks (WSNs) are resource-constrained and highly vulnerable to eavesdropping due to their broadcast nature. Traditional symmetric key cryptography provides strong security but imposes excessive computational and energy demands on sensor nodes. Physical layer–based secret key generation (SKG) offers a lightweight alternative by exploiting channel reciprocity and randomness; however, existing methods are mostly limited to two-user scenarios and lack scalability in multi-user settings. This paper introduces two scalable multi-user SKG frameworks: a sequential method and a star topology-based method. In the sequential method, users cooperatively relay random signals to derive a shared key, while the star topology leverages a central node for signal aggregation and redistribution. A comparative analysis reveals trade-offs between the proposed methods. The sequential method is more computationally efficient but sensitive to node failures, while the star topology offers lower delay at the cost of requiring a fully connected central node. Analyses and simulations confirm both methods’ effectiveness in key mismatch probability, key generation rate, and key randomness validated by the National Institute of Standards and Technology test suite.
Secret group key generation based on physical layer in wireless communications has a lot of practical applications. A few studies focused on the theoretical bounds of the secret key rate based on the sets of received signals rather than a particular secret key generation scheme. We propose a secret group key generation scheme for an arbitrary number of legitimate nodes, n, in mesh topology in the presence of a passive eavesdropper. In the scheme, after general pilot signal transmissions at all nodes, each node broadcasts a weighted combination of its received signals with optimized coefficients, so that legitimate nodes can obtain the information of channels used for group key generation while the eavesdropper cannot. We also apply different quantization schemes for quantizing and encoding the estimated channels into keys. To provide detailed transmissions and processing steps of group key generation, we also describe the proposed scheme for 4-node mesh topology case. The simulation results show that the proposed scheme achieves a higher secret group key rate and a lower key disagreement rate than a benchmark scheme.