LaSa: Location Aware Wireless Security Access Control for IoT Systems

Lu, Bingxian; Wang, Lei; Liu, Jialin; Zhou, Wei; Guo, Linlin; Jeong, Myeong‐Hun; Wang, Shaowen; Han, Guangjie

doi:10.1007/s11036-018-1088-x

Cited by 10 publications

(11 citation statements)

References 36 publications

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“…To achieve the desired goals, it is essential to research advanced intelligent algorithms as the means for new automated localisation. Focused on the development of positioning systems, studies in [4,[7][8][9][10][11][12] have made progress and provide inspirations for our research. However, Lu et al [4] tried to use the angle of arrival (AoA) information obtained by measurement to achieve localisation, which may cause errors for lacking measurement equipment calibration.…”

Section: Motivationmentioning

confidence: 99%

“…Focused on the development of positioning systems, studies in [4,[7][8][9][10][11][12] have made progress and provide inspirations for our research. However, Lu et al [4] tried to use the angle of arrival (AoA) information obtained by measurement to achieve localisation, which may cause errors for lacking measurement equipment calibration. In [9], although the k-nearest neighbour localisation algorithm based on multiple-input multiple-output (MIMO) channel state information (CSI) is proposed, it is not suitable for deployment in larger indoor environments with too much complexity and computations.…”

Section: Motivationmentioning

confidence: 99%

“…They should keep connecting with access points (APs) without frequent access and exit, which is suitable for location‐based access control, enhancing efficiency in smart railway technologies. For another, there is a requirement to legitimate users’ smartphones connecting to AP automatically without manual operations [4]. Safety network sharing – The train‐deployed AP can not only provide Internet service for users, but also serve as an important bridge among IoT devices.…”

Section: Introductionmentioning

confidence: 99%

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Localisation algorithm for security access control in railway communications

2020

IET intell. transp. syst

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With the dense deployment and wide applications of the Internet of Things in railway systems, the location-based security access control scheme is becoming increasingly important. In this study, the received signal strength (RSS) and channel state information (CSI) in railway communications are measured by AR9344 network interface card. Then, based on the measurement data, the authors propose trajectory-based, neural network-based (NN-based) and ray tracing-based (RTbased) localisation algorithms, serving for location-based security access control. Specifically, the trajectory-based algorithm combined with trajectory simulation, movement detection and dynamic time warping algorithms, realises passengers enter/exit pattern detection. The NN-based algorithm leverages back-propagation network (BPN) and constructs training sets with measurement-based RSS and CSI, finishing accurate localisation. Besides, they evaluate the algorithm performance under different layers of BPN. RT-based localisation algorithm combines measurement data and simulation analysis, leveraging simulated-based multiple-input multiple-output received power and delay spread to realise lightweight localisation. After evaluation, the RT-based algorithm can achieve the highest accuracy of localisation, up to 99.9% and is designed to be straightforward for integration with commercial access points and deployment to railway communications.

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Section: Motivationmentioning

confidence: 99%

Section: Motivationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Localisation algorithm for security access control in railway communications

2020

IET intell. transp. syst

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“…Location aware wireless security access is designed by Lu et al 19 for securing wireless network contact in a specific IoT access point region. Security access is administered by classifying users on the basis of received signal strength, channel state information, and angel of arrival.…”

Section: Related Workmentioning

confidence: 99%

A decentralized scalable security framework for end‐to‐end authentication of future IoT communication

Sheron

Sridhar

Baskar

et al. 2019

Trans Emerging Tel Tech

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The development of Internet of Things (IoT) has granted multiple interoperable features for user to digital things communication. The future communication technology and service provisioning in IoT is large scaling an open environment. The large scale IoT environment is supported by sensor network and independent nodes. The intelligent computing, storage, and computation features of the nodes are inherited by the IoT paradigm for its application and service support. In such an open environment, security is a prominent issue that must be administered in a decentralized manner. In this manuscript, a decentralized and scalable security framework for future IoT is designed. This framework exploits the advantages of intelligent computing and tree-based hash for device and request authentication to provide device-to-device security. The tree-based hash is used for authenticating requests and the central authority-based security feature of the framework provides device level security, ensuring better privacy and integrity in communications. The experimental analysis of the proposed security framework is analyzed in terms of detection rate, communication loss, disconnection ratio, and delay. 1 INTRODUCTION Internet of Things (IoT) has emerged as an advanced technology in the recent years of communication field incorporating diverse networks, applications, and services. The concept of IoT is to integrate communicating "things" and human users as a single entity through digital medium. It is capable of visualizing real-time components, data, and information as a digital perspective for distributed access, communication, and sharing. 1 Heterogeneous networks, long-and short-range communication infrastructures, multilevel protocols, applications, and services are present in IoT for pervasive access. This eases interaction between devices, data sharing, uninterrupted communication, resource management, storage, and access for end-users demanding reliable service quality. 2 End-users initiate queries through requests that are processed at different IoT platforms including cloud and gateways. Distributed resources are migrated toward end-user devices through applications boasted for services. Extended network functions such as complex computations, system analysis, storage, and retrieval are performed with the support of heterogeneous service providers. A notable heterogeneous service provider is cloud platform that is capable of strengthening the ubiquitous access and multilevel device interaction of the end-users. 3 The "things" connected in an IoT environment includes short range static devices such as RFIDs to mobile smart devices such as IoT vehicles. The smart nature of the devices is exploited by augmenting sensor-based battery powered circuits that serves the communication purpose. With the equipped electronic circuits, the device is capable of participating in external communication and joining heterogeneous network. Wireless sensor network (WSN) is a renowned technology

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“…A crowdsourcing method for location-aware secure access (LaSa) control is proposed in [37], in which LaSa detects whether a user enters or leaves a room by discovering and identifying unique signal patterns. Combined with received signal strength (RSS), channel state information (CSI) and coarse angle of arrival (AoA) data, the accuracy of wireless network user classification is improved.…”

Section: Related Workmentioning

confidence: 99%

Access Control Based on Ciphertext Attribute Authentication and Threshold Policy for the Internet of Things

Zhang

et al. 2019

Sensors

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The development of the Internet of Things has led to great development of data sharing and data interaction, which has made security and privacy more and more a concern for users. How to ensure the safe sharing of data, avoid the leakage of sensitive information, and protect the privacy of users is a serious challenge. Access control is an important issue to ensure the trust of the Internet of Things. This paper proposes an access control scheme based on ciphertext attribute authentication and threshold policy, which uses the identity authentication of hidden attributes and divides the user’s permission grade by setting the threshold function with the user’s attributes. Users obtain different permission grades according to attribute authentication and access data of different sensitivity grades to achieve fine-grained, flexible and secure access to data in the cloud server while protecting personal privacy issues. In addition, when the resource is acquired, the identity and permission joint authentication method is adopted to avoid the collusion attack of the illegal member, which makes the resource access control more secure.

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LaSa: Location Aware Wireless Security Access Control for IoT Systems

Cited by 10 publications

References 36 publications

Localisation algorithm for security access control in railway communications

Localisation algorithm for security access control in railway communications

A decentralized scalable security framework for end‐to‐end authentication of future IoT communication

Access Control Based on Ciphertext Attribute Authentication and Threshold Policy for the Internet of Things

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