Secure Wireless Body Area Network (WBAN) Communication Method Using New Random Key Management Scheme

Khalilian, Reza; Rezai, Abdalhossein; Mesrinejad, Farhad

doi:10.14257/ijsia.2016.10.11.02

Cited by 11 publications

(7 citation statements)

References 20 publications

(22 reference statements)

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“…This type of attack concentrates on efficient results such as a high delivery rate and lesser delay. Spoofing attacker [ 57 ] Jamming Attack [ 21 ] DoS Attacks [ 36 ] Vulnerable attacks [ 26 ] High and low-rate attacks [ 27 ] …”

Section: Discussion and Recommendationsmentioning

confidence: 99%

“…Figure 7 shows the comparison of attacker detection techniques. Spoofing attacker detection method [ 57 ] obtained the 75% of delivery rate after detecting the attacks, Jamming Attack detection method [ 21 ] obtained the 72% of the delivery rate, DoS attack detection method obtained 82% of delivery rate, Vulnerable attack detection methods [ 26 ] obtained 84% of delivery rate and High and low-rate attack detection method [ 27 ] obtained the 89% of delivery rate. Here high and low-rate attacks achieve a higher delivery rate and that leads to lesser delay compared to other techniques.…”

Section: Discussion and Recommendationsmentioning

confidence: 99%

“…This scheme focused on energy consumption and security issues. Khalilian et al [ 57 ] introduced a proposed scheme to prevent spoofing techniques in wireless body area networks. Spoofing attacks will steal the information.…”

Section: Research Challenges In Secure Wbanmentioning

confidence: 99%

“…• Spoofing attacker [57] • Jamming Attack [21] • DoS Attacks [36] • Vulnerable attacks [26] • High and low-rate attacks [27] Figure 7 shows the comparison of attacker detection techniques. Spoofing attacker detection method [57] obtained the 75% of delivery rate after detecting the attacks, Jamming Attack detection method [21] obtained the 72% of the delivery rate, DoS attack detection method obtained 82% of delivery rate, Vulnerable attack detection methods [26] obtained 84% of delivery rate and High and low-rate attack detection method [27] obtained the 89% of delivery rate.…”

Section: Fig 6 Comparison Of Cryptographic Techniquesmentioning

confidence: 99%

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A Perspective Review of Security Challenges in Body Area Networks for Healthcare Applications

Ananthi

Jose

2021

Int J Wireless Inf Networks

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Body area network (BAN) connects sensors and actuators to the human body in order to collect patient’s information and transmitting it to doctors in a confined space with limited users. wireless body area network (WBAN) is derived from wireless sensor networks (WSN) and enables to transfer of the patient's information with a wide range of communication due to the limitations of the wired body area network. It plays a vital role in healthcare monitoring, healthcare systems, medical field, sports field, and multimedia communication. Sensors and actuators lead to high energy consumption due to their tiny size. WBAN facilitates in securely storing patient information and transmitting it to the doctor without data loss at a specific time. This review examines and summarizes methodological approaches in WBAN relating to security, safety, reliability, and the fastest transmission. Flying body area networks (FBAN) utilizing unmanned aerial vehicles for data transmission are recommended to promote rapid and secure communication in WBAN. FBAN improve the security, scalability, and speed in order to transmit patient’s information to the doctor due to high mobility.

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Section: Discussion and Recommendationsmentioning

confidence: 99%

Section: Discussion and Recommendationsmentioning

confidence: 99%

Section: Research Challenges In Secure Wbanmentioning

confidence: 99%

Section: Fig 6 Comparison Of Cryptographic Techniquesmentioning

confidence: 99%

See 2 more Smart Citations

A Perspective Review of Security Challenges in Body Area Networks for Healthcare Applications

Ananthi

Jose

2021

Int J Wireless Inf Networks

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“…In modern communication systems, data security efforts are crucial, especially for communication in wireless networks [1]- [5]. This underlines the need for a shared secret key to secure communication through the public network.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Loss Multilevel Quantization on the Secret Key Generation Scheme in Indoor Wireless Environment

Yuliana

Wirawan

Suwadi

2019

Int. J. Adv. Sci. Eng. Inf. Technol.

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The necessity for secured communication devices that has limited computing power has encouraged the development of key generation scheme. The generation of a symmetric key scheme that utilizes randomness of wireless channels offers a most promising solution as a result of the easy distribution of secret key mechanisms. In the last few years, various schemes have been proposed, but there are trade-offs between the performance parameters used. The expected parameters are the low Key Disagreement Rate (KDR), the high Key Generation Rate (KGR), and the fulfillment of standard of randomness. In this paper, we propose the use of a combination of pre-processing methods with multilevel lossy quantization to overcome the trade-off of performance parameters of the Secret Key Generation (SKG) scheme. Pre-process method used to improve reciprocity so as to reduce KDR, whereas multilevel quantization is used to improve the KGR. We use Kalman as the pre-processing method and Adaptive Quantization, Modified Multi-Bit (MMB), and 2-ary Quantization as the multilevel lossy quantization. Testing is conducted by comparing the performance between direct quantization with the addition of the pre-processing method in various multilevel lossy quantization schemes. The test results show that the use of Kalman as pre-processing methods and multilevel lossy quantization can overcome the trade-off performance parameters by reducing KDR and increasing KGR, with the best performance, was obtained when we use adaptive quantization. The resulting secret key has also fulfilled 6 random tests with p values greater than 0.01.

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Certificateless pairing-free authentication scheme for wireless body area network in healthcare management system

Kasyoka

Kimwele

Angolo³

2020

Journal of Medical Engineering & Technology

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Secure Wireless Body Area Network (WBAN) Communication Method Using New Random Key Management Scheme

Abstract: Wireless Body Area Networks (WBANs)

Cited by 11 publications

References 20 publications

A Perspective Review of Security Challenges in Body Area Networks for Healthcare Applications

A Perspective Review of Security Challenges in Body Area Networks for Healthcare Applications

Performance Analysis of Loss Multilevel Quantization on the Secret Key Generation Scheme in Indoor Wireless Environment

Certificateless pairing-free authentication scheme for wireless body area network in healthcare management system

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