CaNViS: A cardiac and neurological-based verification system that uses wearable sensors

Haar, Dustin van der

doi:10.1109/dinwc.2015.7054225

Cited by 4 publications

(3 citation statements)

References 29 publications

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“…IoT requires authentication for the protection, services, and advantages of utilising wearable sensors to authenticate individuals protected by this article. IoT is recursively applied, e.g., IoT also requires authorisation as these are required for the authentication of wearable sensors ( van der Haar, 2015 ). Munch-Ellingsen et al boosted their opinion of 2 nd factor authentication by utilising coupled/hardware-based authentication.…”

Section: Related Workmentioning

confidence: 99%

VisTAS: blockchain-based visible and trusted remote authentication system

Ali

Ahmed

Khan

et al. 2021

PeerJ Computer Science

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The information security domain focuses on security needs at all levels in a computing environment in either the Internet of Things, Cloud Computing, Cloud of Things, or any other implementation. Data, devices, services, or applications and communication are required to be protected and provided by information security shields at all levels and in all working states. Remote authentication is required to perform different administrative operations in an information system, and Administrators have full access to the system and may pose insider threats. Superusers and administrators are the most trusted persons in an organisation. “Trust but verify” is an approach to have an eye on the superusers and administrators. Distributed ledger technology (Blockchain-based data storage) is an immutable data storage scheme and provides a built-in facility to share statistics among peers. Distributed ledgers are proposed to provide visible security and non-repudiation, which securely records administrators’ authentications requests. The presence of security, privacy, and accountability measures establish trust among its stakeholders. Securing information in an electronic data processing system is challenging, i.e., providing services and access control for the resources to only legitimate users. Authentication plays a vital role in systems’ security; therefore, authentication and identity management are the key subjects to provide information security services. The leading cause of information security breaches is the failure of identity management/authentication systems and insider threats. In this regard, visible security measures have more deterrence than other schemes. In this paper, an authentication scheme, “VisTAS,” has been introduced, which provides visible security and trusted authentication services to the tenants and keeps the records in the blockchain.

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Section: Related Workmentioning

confidence: 99%

VisTAS: blockchain-based visible and trusted remote authentication system

Ali

Ahmed

Khan

et al. 2021

PeerJ Computer Science

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“…There are also many medical ways to recognize users. Dustin van der Haar et al [ 15 ] presented a biometric identification method based on a hybrid attribute. They built a system named CaNViS to classify people by their Electrocardiogram (ECG) and the Electroencephalogram (EEG), which are the most common bio-signals in the medical field.…”

Section: Related Workmentioning

confidence: 99%

“…As more attention has recently been paid to user authentication, researchers have proposed various edge computing authentication methods, which mainly include the following three types. The first type of authentication method is based on the user’s physiological biometrics, such as the relevant attributes of the eyes [ 13 , 14 ], Electrocardiogram (ECG), and Electroencephalogram (EEG) [ 15 , 16 ], as well as the body’s feedback of external stimuli [ 17 , 18 ]. Specific sensors should be included in smartwatches with these methods.…”

Section: Introductionmentioning

confidence: 99%

Smartwatch User Authentication by Sensing Tapping Rhythms and Using One-Class DBSCAN

Zhang¹,

Xiao²,

Ni³

et al. 2021

Sensors

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As important sensors in smart sensing systems, smartwatches are becoming more and more popular. Authentication can help protect the security and privacy of users. In addition to the classic authentication methods, behavioral factors can be used as robust measures for this purpose. This study proposes a lightweight authentication method for smartwatches based on edge computing, which identifies users by their tapping rhythms. Based on the DBSCAN clustering algorithm, a new classification method called One-Class DBSCAN is presented. It first seeks core objects and then leverages them to perform user authentication. We conducted extensive experiments on 6110 real data samples collected from more than 600 users. The results show that our method achieved the lowest Equal Error Rate (EER) of only 0.92%, which was lower than those of other state-of-the-art methods. In addition, a statistical method for detecting the security level of a tapping rhythm is proposed. It can prevent users from setting a simple tapping rhythm password, and thus improve the security of smartwatches.

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