A Secure Data Transmission Scheme for Body Sensor Network

Abstract

Personal privacy has been realized as the most important security issue in wireless sensor networks. While there are much researches on privacy information protection, most of them shared the same condition that the sensing action happened anywhere at any time and few of them tackle the problem in the body sensor network (BSN). To address the problem, this paper proposes a system model according to BSN's specific features. The proposed model includes a hierarchical structure and an adversary model which originated from the traditional wireless sensor network. Based on the proposed model, an efficient green Secure Data Transmission Scheme is provided to protect users' privacy against the global eavesdropper. Next we conduct extensive simulations for proposed scheme by deploying it on the TinyOS, and compare it against a representative privacy-preserving scheme. The result shows that the scheme proposed in this paper has lower energy consumption and quicker response time, thus it fits for BSN more preferably.

A data privacy protective mechanism for wireless body area networks

“…Step 3: Decrypt the data block ffH.Data 1 1 /, Data 1 1 g K 1 CfH.Data 2 1 /, Data 2 1 g K 1 CfH.Data 3 1 /, Data 3 1 g K 1 g with the symmetric key K 1 , then the private key data of the node are obtained as follows: fH.Data 1 1 /, Data 1 1 0 g, fH.Data 2 1 /, Data 2 1 00 g, fH.Data 3 1 /, Data 3 1 000 g Step 4: In order to verify the integrity of the data received, it is necessary to calculate the hash value of the private data fData 1 1 0 , Data 2 1 00 , Data 3 1 000 g, and the result is fH.Data 1 1 0 /, H.Data 2 1 00 /, H.Data 3 1 000 /g, then it is needed to judge whether it is equal to fH.Data 1 1 /, H.Data 2 1 /, H.Data 3 1 /g. If they are equal, then it can be said that the data received have integrity, that is to say, fData 1 1 0 , Data 2 1 00 , Data 3 1 000 g is the raw data for WBAN; otherwise, it illustrates that the collected data may have been tampered by an attacker, and the data should be discarded.…”

“…Step 5: If the data packet fData 1 1 0 , Data 2 1 00 , Data 3 1 000 g is proved to be integrated after verification, it can be summed to acquire an integrated raw data for each node. The result can be expressed as DATA i .i D 1 : : : 5/, DATA 1 =Data 1 1 0 CData 2 1 00 C Data 3 1 000 . Step 6: Repeat steps 1-4, until remote information processing center obtains the original real data information of all the nodes, that is to say, the data packet of each node DATA i .i D 1 : : : 5/.…”

“…As a branch of WSN, Body Sensor Network (BSN), also called WBAN, is not only a short‐distance wireless communication network, but also an important public application network. WBAN is a human body‐centered wireless communication network, which consists of all sorts of function sensors that are arranged around the body, or directly embedded into the human body. Various sensor nodes can sense and collect both the body's vital physiological data and the environment information around the body.…”

Securing Body Sensor Networks with Biometric Methods: A New Key Negotiation Method and a Key Sampling Method for Linear Interpolation Encryption

“…., In other respects, due to the randomness of interpolation factors, the curve of encrypted data made by the improved INTRAS will hide the original curve of biometric data. For instance, if ℓ = 10, = 16, = 2, we use the Matlab tool to simulate the encryption, where initialization vector is randomly produced from range [1,1023]; the fragment of the biometric data sequence is [11 13 15 17 11 13 15 17 11 13 15 17 11 13 15 17], the interpolation factors are randomly produced from range [1,1023], and each fragment of interpolation factors sequence is used to encrypt two fragments of biometric data sequence. For instance, the first fragment of interpolation factors sequence is used to encrypt ⟨V 1 , .…”

“…Body sensor networks (BSNs) are an important branch of wireless sensor networks (WSNs) [1, 2]. A BSN is a medical information system in the field of e-health, and it consists of some biosensor nodes that form a wireless micronetwork on the human body.…”