BANA: Body Area Network Authentication Exploiting Channel Characteristics

Shi, Lu; Li, Ming; Yu, Shucheng; Yuan, Jiawei

doi:10.1109/jsac.2013.130913

Cited by 140 publications

(99 citation statements)

References 49 publications

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“…It can effectively combat the identity-based attacks. Compared with the traditional authentication, physical layer authentication is more efficient in terms of authentication speed and computation overhead to authenticate each message, which is more suitable for the scenarios where the devices have limited communication and computational capacities, such as smart grid [20] [21] and body area networks (BANs) [22].…”

Section: Literature Reviewmentioning

confidence: 99%

Channel-based physical layer authentication

Pei

Zhang

Shen

et al. 2014

2014 IEEE Global Communications Conference

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The characteristics of the wireless physical layer can be exploited to complement and enhance traditional security. In this thesis, we study the channel-based physical layer authentication. The authentication problem is formulated as a sequence of hypothesis test problems. By exploiting the time-of-arrivals, received signal strengths, and cyclic-features of the channels, support vector machine (SVM) based authentication schemes, the linear Fisher discriminant analysis (LFDA) based authentication scheme, and the combining scheme are proposed to improve the detection probability and to reduce the false alarm probability. These schemes can reliably authenticate the sender by identifying channels from different users.In SVM based schemes, the linear and nonlinear SVMs are used to generate classifiers to solve the hypothesis test problems. Using the real channel data measured in a regular office from Utah University, simulation is performed. Simulation results demonstrate that SVM based schemes have lower misdetection probability and false alarm probability than some existing schemes at a cost of extra time complexity and space complexity due to the training stage.To reduce the space complexity and time complexity during the training stage, LFDA based authentication scheme is proposed. In LFDA based scheme, a linear combination of the channel features is used as the test statistic, which is compared with a threshold to perform authentication. LFDA is used to compute the weights based on some training data. Furthermore, an adaptive threshold scheme (ATS) is proposed to set and adjust the threshold. Simulation results demonstrate that the proposed LFDA based scheme performs better in terms of the sum of misdetection probability and false alarm probability, and the receiver operating characteristic curves, compared with several existing channel-based authentication schemes. Moreover, the analysis of time complexity and space complexity is provided, which shows that the LFDA based scheme is also better than SVM based schemes in terms of space complexity, time complexity, misdetection probability, and false alarm probability.The misdetection probability and false alarm probability can be reduced greatly by two-user cooperative authentication. The combining scheme is proposed to combine the data from another legitimate user when cooperation is available. The combining scheme is proven to have the capacity to improve the performance at cost of extra communication and computation overhead. The time complexity, space complexity, and communication overhead are analyzed.iii Acknowledgements I would like to thank all the people who made this thesis possible. They are my supervisor and my colleagues in the Broadband Communications Research (BBCR) group, and my families. Without their help and encouragement, I cannot finish my study.

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Section: Literature Reviewmentioning

confidence: 99%

Channel-based physical layer authentication

Pei

Zhang

Shen

et al. 2014

2014 IEEE Global Communications Conference

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“…The paper that is most related to ours is [27] which proposes a body area network authentication scheme that does not depend on prior trust among the nodes. It is based on variations in received signal strength.…”

Section: Related Workmentioning

confidence: 99%

Device Pairing at the Touch of an Electrode

Roeschlin

Martinovic

Rasmussen

2018

Proceedings 2018 Network and Distributed System Security Symposium

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Abstract-Device pairing is the problem of having two devices securely establish a key that can be used to secure subsequent communication. The problem arises every time two devices that do not already share a secret need to bootstrap a secure communication channel. Many solutions exist, all suited to different situations, and all with their own strengths and weaknesses.In this paper, we propose a novel approach to device pairing that applies whenever a user wants to pair two devises that can be physically touched at the same time. The pairing process is easy to perform, even for novice users. A central problem for a device (Alice) running a device pairing protocol, is determining whether the other party (Bob) is in fact the device that we are supposed to establish a key with. Our scheme is based on the idea that two devices can perform device pairing, if they are physically held by the same person (at the same time). In order to pair two devices, a person touches a conductive surface on each device. While the person is in contact with both devices, the human body acts as a transmission medium for intra-body communication and the two devices can communicate through the body. This body channel is used as part of a pairing protocol which allows the devices to agree on a mutual secret and, at the same time, extract physical features to verify that they are being held by the same person. We prove that our device pairing protocol is secure in our threat model and we build a proof of concept set-up and conduct experiments with 15 people to verify the idea in practice.

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“…The authors in [18] proposed another novel solution BANA to distinguish onbody legitimate nodes and off-body attackers by exploiting the unique characteristics of physical channels in WBAN. In BANA, it is considered that if the user's body stayed in a smoothly moving state, the received signal strength (RSS) variation among on-body channels is more stable compared to it between on-body and off-body communication channels.…”

Section: Achieving Data Authenticity In Wbanmentioning

confidence: 99%

A Survey on Secure Wireless Body Area Networks

Zou

Wang

et al. 2017

Security and Communication Networks

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Combining tiny sensors and wireless communication technology, wireless body area network (WBAN) is one of the most promising fields. Wearable and implantable sensors are utilized for collecting the physiological data to achieve continuously monitoring of people's physical conditions. However, due to the openness of wireless environment and the significance and privacy of people's physiological data, WBAN is vulnerable to various attacks; thus, strict security mechanisms are required to enable a secure WBAN. In this article, we mainly focus on a survey on the security issues in WBAN, including securing internal communication in WBAN and securing communication between WBAN and external users. For each part, we discuss and identify the security goals to be achieved. Meanwhile, relevant security solutions in existing research on WBAN are presented and their applicability is analyzed.

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BANA: Body Area Network Authentication Exploiting Channel Characteristics

Cited by 140 publications

References 49 publications

Channel-based physical layer authentication

Channel-based physical layer authentication

Device Pairing at the Touch of an Electrode

A Survey on Secure Wireless Body Area Networks

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