Managing Mobile Relays for Secure E2E Connectivity of Low-Power IoT Devices

Porambage, Pawani; Manzoor, Ahsan; Liyanage, Madhusanka; Gurtov, Andrei; Ylianttila, Mika

doi:10.1109/ccnc.2019.8651711

Cited by 6 publications

(17 citation statements)

References 11 publications

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“…Many associated works based on IoT systems for healthcare are already available, and some use mobile phones for connection establishment. One such piece of work is in [8] [9], which introduces a mobile-based relay assistance system for establishing a secure end-to-end (E2E) connection between lowpower IoT sensors and cloud servers without using any specific and dedicated gateway. It proposes a basic prototype to accomplish communication tasks and E2E connection establishment through a secure AES-CCM encryption technique.…”

Section: Related Workmentioning

confidence: 99%

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Security Enhanced Emergency Situation Detection System for Ambient Assisted Living

Shabisha

Sandeepa

Moremada

et al. 2021

IEEE Open J. Comput. Soc.

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Typical wearable devices use a dedicated mobile phone as relay node to transfer the collected sensor data to a server. However, such relay nodes can be faulty or inactive due to various reasons, leading to interruptions of the communication link. To mitigate this challenge, we propose a novel security-enhanced emergency situation detection system, where 3 rd party unknown mobile relays are used instead of dedicated gateways as opposed to many existing solutions for IoT healthcare applications. The proposed underlying key agreement and authentication scheme ensures anonymity and untraceability for both sensors (wearable devices) and relay nodes, and relies on symmetric key-based operations to function under resourceconstrained environments. We have also developed a prototype of the system using commercial off-the-shelf devices to verify the proposed method's validity and evaluate the performance advantage over existing approaches. Bluetooth Low Energy (BLE) communication technology is used to connect sensor nodes (wearable devices) and mobile relays. After sending medical data to the cloud server, the relay node is responsible for emergency detection and alert generation.

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Section: Related Workmentioning

confidence: 99%

“…But this system is not fully compatible with resource-constrained devices such as those that have power limitations. Besides, [8], all the other related works are using a dedicated gateway for data transmission.…”

Section: Related Workmentioning

confidence: 99%

Security Enhanced Emergency Situation Detection System for Ambient Assisted Living

Shabisha

Sandeepa

Moremada

et al. 2021

IEEE Open J. Comput. Soc.

View full text Add to dashboard Cite

show abstract

“…The work presented in [4] [5] introduces a mobile-based relay assistance system for the establishment of a secure End to End (E2E) connection between low-power IoT sensors and cloud servers without using any specific and dedicated gateway. This work proposes a basic prototype to accomplish the communication task and the E2E connection establishment is done through a secure AES-CCM encryption technique.…”

Section: Related Workmentioning

confidence: 99%

“…Moreover, the proposed solution in [4] supports a single relay for real-time data transmission only. If there is no relay nearby during the incident, the model proposed in [4] will not work. Therefore, a relay-based system is needed and it is suggested in our work.…”

Section: Related Workmentioning

confidence: 99%

An Emergency Situation Detection System for Ambient Assisted Living

Sandeepa

Moremada

Dissanayaka

et al. 2020

2020 IEEE International Conference on Communications Workshops (ICC Workshops)

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This paper proposes "An Emergency Situation Detection System for Ambient Assisted Living (AAL)", to support elderly people and patients with chronic conditions and potential health-related emergencies to live independently. It implements an Internet of Things (IoT) network that continuously monitors the health conditions of these people. The network includes mobile phones, to transmit the data generated by the IoT sensors to the cloud server. Especially, the paper proposes the 3 rd party unknown mobile relays instead of dedicated gateways as opposed to many existing solutions for IoT healthcare applications. The wireless communication technology used to provide the connectivity between the sensor nodes and mobile relays is Bluetooth Low Energy (BLE). To establish a secure end-to-end connectivity between low power IoT sensor nodes and cloud servers, the paper proposes several techniques. After the medical data transmission to the cloud server, it is responsible for emergency detection and alert generation accordingly. The type of emergency is not limited to a specific health issue, but new emergency situations can be defined and added to the proposed system. Ultimately, the interested parties such as family members, caretakers and doctors receive these alerts. The development of a prototype of the system as a part of the work using commercial off-the-shelf devices verifies the validity of the proposing system and evaluates the performance advantage over the existing systems.

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“…The proposed system supports edge computing architecture to provide both insight and remote processing capabilities to the remotely located IoT sensor networks. Instead of using mobile phone as the relay in [6], here we use a drone accompanied by a Raspberry Pi to perform as an edge processor. We have proven the viability of the proposed solution by providing the comprehensive analysis of the simulation results.…”

Section: Introductionmentioning

confidence: 99%

Enabling End-to-End Secure Connectivity for Low-Power IoT Devices with UAVs

Rajakaruna

Manzoor

Porambage

et al. 2019

2019 IEEE Wireless Communications and Networking Conference Workshop (WCNCW)

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The proliferation of the Internet of Things (IoT) technologies have strengthen the self-monitoring and autonomous characteristics of the sensor networks deployed in numerous application areas. The recent developments of the edge computing paradigms have also enabled on-site processing and managing the capabilities of sensor networks. In this paper, we introduce a system model that enables end-to-end secure connectivity between low-power IoT devices and UAVs, that helps to manage the data processing tasks of heterogeneous wireless sensor networks. The performance of proposed solution is analyzed by using simulation results. Moreover, in order to demonstrate the practical usability of the proposed solution, the prototype implementation is presented using commercial off-the-shelf devices.

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Managing Mobile Relays for Secure E2E Connectivity of Low-Power IoT Devices

Cited by 6 publications

References 11 publications

Security Enhanced Emergency Situation Detection System for Ambient Assisted Living

Security Enhanced Emergency Situation Detection System for Ambient Assisted Living

An Emergency Situation Detection System for Ambient Assisted Living

Enabling End-to-End Secure Connectivity for Low-Power IoT Devices with UAVs

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