A lightweight continuous authentication scheme for medical wireless body area networks

Wan, Tao; Wang, Luyao; Liao, Weichuan; Yue, Shixin

doi:10.1007/s12083-021-01190-7

Cited by 19 publications

(9 citation statements)

References 39 publications

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“…The performance results for the proposed scheme was compared with the literature, i.e., Koya et al [18], Tao et al [19], Wazid, et al [20], Xu, et al [25], Almuhaideb et al [26], and Rehman et al [14]. We compared our proposed scheme with currently available state-of-the-state authentication schemes in the same category.…”

Section: The Evaluation Of Performance Resultsmentioning

confidence: 99%

Dynamic Key Extraction Technique Using Pulse Signal and Lightweight Cryptographic Authentication Scheme for WBAN

et al. 2022

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As a key component of ubiquitous computing, the wireless body area network (WBAN) can be used in a variety of disciplines, including health monitoring. Our everyday routines have been transformed by wearable technology, which has changed the medical industry and made our lives more convenient. However, the openness of the wireless network has raised concerns about the privacy and security of patient’s data because of the latent threat imposed by attackers. Patients’ sensitive data are safeguarded with authentication schemes against a variety of cyberattacks. Using pulse signals and a lightweight cryptographic approach, we propose a hybrid, anonymous, authentication scheme by extracting the binarized stream (bio-key) from pulse signal. We acquired 20 different sample signals to verify the unpredictability and randomness of keys, which were further utilized in an authentication algorithm. Formal proof of mutual authentication and key agreement was provided by the widely known BAN logic, and informal verification was provided by the Automated Validation of Internet Security Protocol and Applications (AVISPA) tool. The performance results depicted that storage cost on the sensor side was only 640 b, whereas communication cost was 512 b. Similarly, the computation time and energy consumption requirements were 0.005 ms and 0.55 µJ, respectively. Hence, it could be asserted that the proposed authentication scheme provided sustainable communication cost along with efficient computation, energy, and storage overheads as compared to peer work.

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Section: The Evaluation Of Performance Resultsmentioning

confidence: 99%

Dynamic Key Extraction Technique Using Pulse Signal and Lightweight Cryptographic Authentication Scheme for WBAN

et al. 2022

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“…Wan et al 18 proposed an intra‐BAN tier authentication scheme. By ensuring forward secrecy, node anonymity, and node unlinkability, this approach protects against node impersonation, man‐in‐the‐middle attacks, and session key leaks.…”

Section: Literature Surveymentioning

confidence: 99%

Hash message authentication codes for securing data in wireless body area networks

Nagasundharamoorthi,

Venkatesan,

Velusamy

2023

Concurrency and Computation

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SummaryThere are numerous medical applications for the growing use of wireless body area networks (WBANs), including remote patient health monitoring, early illness detection, and computer‐assisted rehabilitation. WBAN links many sensor nodes implanted or affixed to the human body to monitor physiological data. WBAN technology has the potential to benefit medical healthcare systems tremendously. However, the gathering and transferring sensitive physiological data in an unprotected environment raises severe security and privacy concerns. The limited resources and broadcast transmission of a WBAN pose grave safety issues in biomedical applications. Keeping sensitive patient data safe during broadcasts is critical in the healthcare business. As a result of the massive memory and processing requirements required by traditional public or private key architectures, tiny sensor nodes cannot use them. WBAN sensor nodes can communicate securely using the KHMAC key‐agreement technique proposed in this article. Measurements and confirmations of shared physiological parameters at the transmitter and recipient sensors are key to the proposed protocol KHMAC before communication is established. The proposed KHMAC protocol enables sensors to use their prior session knowledge for secure communication within a predetermined time window. This will shorten the time it takes to establish a shared key, prevent the retransmission of extracted characteristics in the medium and eavesdropping attacks, and preserve the unpredictability of the key. Both the feature extraction and key agreement stages will be shown to have higher precision and lower error rates with KHMAC's proposed key management methodology. The proposed protocol is proven to be more energy and memory efficient than existing key agreement systems.

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“…Thus, IBE solutions for WBANs can be difficult to implement in practice for recommended security levels. Examples of custom solutions for authentication in WBANs are proposed in [39], [40]. In [39], a custom authentication algorithm between the sensor node and a base station (personal server) that is based on the use of a hash function and key management is presented.…”

Section: Related Workmentioning

confidence: 99%

“…Examples of custom solutions for authentication in WBANs are proposed in [39], [40]. In [39], a custom authentication algorithm between the sensor node and a base station (personal server) that is based on the use of a hash function and key management is presented. Security at Layers 2 and 3 nor the security services of confidentiality, integrity and access control are considered.…”

Section: Related Workmentioning

confidence: 99%

“…No details are given on the implementation or simulation, nor is the security level used. In [40], a similar approach is presented to authenticate the sensor node and the cloud server directly based on the use of hash functions and key management to cover Layers 1 and 2 in the proposed model, assuming that there is not a base station or personal server as in [39]. Experiments are reported using a single sensor node and a desktop computer as the server.…”

Section: Related Workmentioning

confidence: 99%

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A Three-Tier Approach for Lightweight Data Security of Body Area Networks in E-Health Applications

et al. 2021

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Wireless body area networks (WBANs) can enable e-health applications under Internet of Things (IoT) scenarios. However, to use WBAN technologies in practical applications, sensitive data collected by wireless sensors must be protected when transmitted across a network and until accessed by authorized applications or end-users. Specifically, it is necessary to provide confidentiality, integrity, authentication and access control in WBANs. This paper presents a security approach to provide these security services in a layered WBAN system using lightweight cryptography. Layer 1 consists of the communication between the sensor nodes and the base station (data acquisition); Layer 2 involves the communication between the base station and a data repository (data storage); and Layer 3 deals with the communication of end-users to the repository (data access). In the past, security has focused only on Layer 1 and for limited security levels. In this paper, security concerns in the three layers of a WBAN system are studied and addressed. As primary contributions, the design details of a secure WBAN system prototype and the impact of lightweight cryptographic engines on the performance of the primary use cases in the WBAN system are highlighted from data acquisition until data use. We present a novel WBAN system prototype that ensures most of the required security services for standard security levels.

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A lightweight continuous authentication scheme for medical wireless body area networks

Cited by 19 publications

References 39 publications

Dynamic Key Extraction Technique Using Pulse Signal and Lightweight Cryptographic Authentication Scheme for WBAN

Dynamic Key Extraction Technique Using Pulse Signal and Lightweight Cryptographic Authentication Scheme for WBAN

Hash message authentication codes for securing data in wireless body area networks

A Three-Tier Approach for Lightweight Data Security of Body Area Networks in E-Health Applications

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