iShake: Imitation-Resistant Secure Pairing of Smart Devices via Shaking

Shi, Chuang; Xie, Lihua; Wang, Chuyu; Yang, Peicheng; Song, Yubo; Lu, Sanglu

doi:10.1109/icpads47876.2019.00098

Cited by 7 publications

(2 citation statements)

References 12 publications

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“…In addition to the systems above, there are also a number of key generation systems based on shaking motion, e.g., Shake on it (Shot) [117], Shakeunlock [29], ShakeMe [150], and iShake [113]. They essentially use the same idea but different methods to generate keys.…”

Section: Imu Sensorsmentioning

confidence: 99%

Key Generation for Internet of Things: A Contemporary Survey

Xu,

Zhang,

Huang

et al. 2020

Preprint

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Key generation is a promising technique to bootstrap secure communications for the Internet of Things (IoT) devices that have no prior knowledge between each other. In the past few years, a variety of key generation protocols and systems have been proposed. In this survey, we review and categorise recent key generation systems based on a novel taxonomy. Then, we provide both quantitative and qualitative comparisons of existing approaches. We also discuss the security vulnerabilities of key generation schemes and possible countermeasures. Finally, we discuss the current challenges and point out several potential research directions. CCS Concepts: • Computer systems organization → Sensors and actuators; • Human-centered computing → Ubiquitous and mobile devices; • Security and privacy → Network security.

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Section: Imu Sensorsmentioning

confidence: 99%

Key Generation for Internet of Things: A Contemporary Survey

Xu,

Zhang,

Huang

et al. 2020

Preprint

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show abstract

“…In recent years, with the idea of zero trust being gradually recognized by the industry, zero trust has also experienced the process of evolution from prototype concept to landing network security technology architecture and gradually evolved into a new generation of security architecture covering cloud environment, big data center, micro-services, and many other scenarios. At present, network security research institutions such as Google [8], Qianxin [9], Tencent [10], and NIST [11] have put forward a variety of mainstream zero-trust network security architectures.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Trust Continuous Evaluation-based Zero-Trust Access Control for Power Grid Cloud Service

Sun

Huang

et al. 2022

J. Phys.: Conf. Ser.

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The development of power grid cloud service puts forward higher requirements for remote secure access. To realize fine-grained access control of remote secure access of power grid cloud service, this paper proposes a zero-trust access control model for power grid cloud service based on dynamic trust continuous evaluation. The experimental results show that the model proposed in this paper can effectively implement continuous trust evaluation for remote access of PowerCloud services, and achieve zero trust access control, with an exception detection accuracy rate of 97.2% and the incremental learning accuracy rate of over 97% when the behavior model of remote access changes.

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A Classification Method of Power Unstructured Encrypted Data Based on Fuzzy Data Matching

Gao

Liang

et al. 2022

2022 3rd International Conference on Intelligent Design (ICID)

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iShake: Imitation-Resistant Secure Pairing of Smart Devices via Shaking

Cited by 7 publications

References 12 publications

Key Generation for Internet of Things: A Contemporary Survey

Key Generation for Internet of Things: A Contemporary Survey

Dynamic Trust Continuous Evaluation-based Zero-Trust Access Control for Power Grid Cloud Service

A Classification Method of Power Unstructured Encrypted Data Based on Fuzzy Data Matching

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