Abstract
In wireless body area networks (WBANs), the secrecy of personal health information is vulnerable to attacks due to the openness of wireless communication. In this paper, we study the security problem of WBANs, where there exists an attacker or eavesdropper who is able to observe data from part of sensors. The legitimate communication within the WBAN is modeled as a discrete memoryless channel (DMC) by establishing the secrecy capacity of a class of finite state Markov erasure wiretap channels. Meanwhile, the tapping of the eavesdropper is modeled as a finite-state Markov erasure channel (FSMEC). A pair of encoder and decoder are devised to make the eavesdropper have no knowledge of the source message, and enable the receiver to recover the source message with a small decoding error. It is proved that the secrecy capacity can be achieved by migrating the coding scheme for wiretap channel II with the noisy main channel. This method provides a new idea solving the secure problem of the internet of things (IoT).
Highlights
Due to the openness of wireless communication, the personal health information, which is exchanged on the wireless channel in wireless body area networks (WBANs), is readily fetched and attacked by hackers
The source data W is encoded into N digital symbols, denoted by X N, and transmitted to the targeted user through a discrete memoryless channel (DMC)
The eavesdropper is able to observe the transmitted symbols through a finite-state erasure Markov channel (FSMEC). Secrecy capacity of this new communication model is established, based on the coding scheme devised by the authors in
Summary
Due to the openness of wireless communication, the personal health information, which is exchanged on the wireless channel in WBAN, is readily fetched and attacked by hackers. This paper discusses finite-state Markov erasure wiretap channel (FSME-WTC) (see Figure 1) In this new model, the source data W is encoded into N digital symbols, denoted by X N , and transmitted to the targeted user through a DMC. The eavesdropper is able to observe the transmitted symbols through a finite-state erasure Markov channel (FSMEC) Secrecy capacity of this new communication model is established, based on the coding scheme devised by the authors in. In the rest of this section, we will introduce a class of Markov chains satisfying (2) in Theorem 2, and provide the secrecy capacity of the related wiretap channel model in Corollary 1. If the Markov chain { Tn } is ergodic with the unique stationary distribution π over T , the secrecy capacity of the wiretap channel model depicted in Figure 1 is given by.
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