Practical Privacy-Preserving ECG-Based Authentication for IoT-Based Healthcare

Huang, Pei; Guo, Linke; Li, Ming; Fang, Yuguang

doi:10.1109/jiot.2019.2929087

Cited by 86 publications

(39 citation statements)

References 30 publications

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“…Recently, the use of physiological biometrics for mobile user authentication has increased significantly. Huang et al [22] proposed a privacy-preserving ECG-based authentication scheme that utilizes the ECG signal acquired by a medical IoT for ECG monitoring to authenticate the patient. A mobile EEG-based biometric authentication system was developed in [23] that combines EEG recordings with other techniques, such as nearfield communication (NFC) and face recognition.…”

Section: Biometrics-based Mobile User Authenticationmentioning

confidence: 99%

Enhancing the Security of Pattern Unlock with Surface EMG-Based Biometrics

Dong

Zheng

2020

Applied Sciences

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Pattern unlock is a popular screen unlock scheme that protects the sensitive data and information stored in mobile devices from unauthorized access. However, it is also susceptible to various attacks, including guessing attacks, shoulder surfing attacks, smudge attacks, and side-channel attacks, which can achieve a high success rate in breaking the patterns. In this paper, we propose a new two-factor screen unlock scheme that incorporates surface electromyography (sEMG)-based biometrics with patterns for user authentication. sEMG signals are unique biometric traits suitable for person identification, which can greatly improve the security of pattern unlock. During a screen unlock session, sEMG signals are recorded when the user draws the pattern on the device screen. Time-domain features extracted from the recorded sEMG signals are then used as the input of a one-class classifier to identify the user is legitimate or not. We conducted an experiment involving 10 subjects to test the effectiveness of the proposed scheme. It is shown that the adopted time-domain sEMG features and one-class classifiers achieve good authentication performance in terms of the F 1 score and Half of Total Error Rate (HTER). The results demonstrate that the proposed scheme is a promising solution to enhance the security of pattern unlock.

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Section: Biometrics-based Mobile User Authenticationmentioning

confidence: 99%

Enhancing the Security of Pattern Unlock with Surface EMG-Based Biometrics

Dong

Zheng

2020

Applied Sciences

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“…Thus, the privacy of IoT devices needs to be focused. It is very important to protect the identities of IoT devices when these devices process and transfer data [44][45][46][47][48][49][50][51][52]. Then we present a syntax about mesh signature in IoT.…”

Section: Discussionmentioning

confidence: 99%

Reusable Mesh Signature Scheme for Protecting Identity Privacy of IoT Devices

Zhang

Lim

et al. 2020

Sensors

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The development of the Internet of Things (IoT) plays a very important role for processing data at the edge of a network. Therefore, it is very important to protect the privacy of IoT devices when these devices process and transfer data. A mesh signature (MS) is a useful cryptographic tool, which makes a signer sign any message anonymously. As a result, the signer can hide his specific identity information to the mesh signature, namely his identifying information (such as personal public key) may be hidden to a list of tuples that consist of public key and message. Therefore, we propose an improved mesh signature scheme for IoT devices in this paper. The IoT devices seen as the signers may sign their publishing data through our proposed mesh signature scheme, and their specific identities can be hidden to a list of possible signers. Additionally, mesh signature consists of some atomic signatures, where the atomic signatures can be reusable. Therefore, for a large amount of data published by the IoT devices, the atomic signatures on the same data can be reusable so as to decrease the number of signatures generated by the IoT devices in our proposed scheme. Compared with the original mesh signature scheme, the proposed scheme has less computational costs on generating final mesh signature and signature verification. Since atomic signatures are reusable, the proposed scheme has more advantages on generating final mesh signature by reconstructing atomic signatures. Furthermore, according to our experiment, when the proposed scheme generates a mesh signature on 10 MB message, the memory consumption is only about 200 KB. Therefore, it is feasible that the proposed scheme is used to protect the identity privacy of IoT devices.

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“…Pei Huang et al [41] presented a practical technique that could validate patients with the noisy signal of electrocardiogram (ECG) as well as offered disparate private protection concurrently. Regarding the present moving status, the scheme could identify the motions and adapted the algorithm.…”

Section: Review On Privacy Preserving Approaches For Iomtmentioning

confidence: 99%

Security, Privacy and Trust in IoMT Enabled Smart Healthcare System: A Systematic Review of Current and Future Trends

Vaiyapuri¹,

Binbusayyis²,

Varadarajan³

2021

IJACSA

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In the past decades, healthcare has witnessed a swift transformation from traditional specialist/hospital centric approach to a patient-centric approach especially in the smart healthcare system (SHS). This rapid transformation is fueled on account of the advancements in numerous technologies. Amongst these technologies, the Internet of medicals things (IoMT) play an imperative function in the development of SHS with regard to productivity of electronic devices in addition to reliability, accuracy. Recently, several researchers have shown interest to leverage the benefits of IoMT for the development of SHS by interconnecting with the existing healthcare services and available medical resources. Though the integration of IoMT within medical resources enable to revolutionize the patient healthcare service from reactive to proactive care system, the security of IoMT is still in its infancy. As IoMT are mainly employed to capture extremely sensitive individual health data, the security and privacy of IoMT is of paramount importance and very crucial in safeguarding the patient life which could otherwise adversely affect the patient health state and in worse case may also lead to loss of life. Motivated by this crucial requirement, several researchers in tandem to the advancement in IoMT technologies have continuously made noteworthy progress to tackle the security and privacy issues in IoMT. Yet, many possible potential directions exist for future investigation. This necessitates for a complete overview of existing security and privacy solutions in the field of IoMT. Therefore, this paper aims to canvass the literature on the most promising state-of-the-art solutions for securing IoMT in SHS especially in the light of security, privacy protection, authentication and authorization and the use of blockchain for secure data sharing. Finally, highlights the review outcome briefing not only the benefits and limitation of existing security and privacy solutions but also summarizing the opportunities and possible potential future directions that can drive the researchers of next decade to improve and shape their research committed on safe integration IoMT in SHS.

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Practical Privacy-Preserving ECG-Based Authentication for IoT-Based Healthcare

Cited by 86 publications

References 30 publications

Enhancing the Security of Pattern Unlock with Surface EMG-Based Biometrics

Enhancing the Security of Pattern Unlock with Surface EMG-Based Biometrics

Reusable Mesh Signature Scheme for Protecting Identity Privacy of IoT Devices

Security, Privacy and Trust in IoMT Enabled Smart Healthcare System: A Systematic Review of Current and Future Trends

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