Secure Seamless Bluetooth Low Energy Connection Migration for Unmodified IoT Devices

Hussain, Syed Rafiul; Mehnaz, Shagufta; Nirjon, Shahriar; Bertino, Elisa

doi:10.1109/tmc.2017.2739742

Cited by 29 publications

(12 citation statements)

References 24 publications

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“…All the improvements and features of Bluetooth low energy focused on supporting applications where energy usage is critical, and data are sent irregularly. For example, a system that supported Bluetooth low energy (BLE) technology was proposed [142]; it guaranteed easy communication between IoT devices in a healthcare network where the gateway uses BLE technology. The system had an analysis module for the extraction of the variables needed during the data transmission.…”

Section: Bluetoothmentioning

confidence: 99%

A Survey on Internet of Things and Cloud Computing for Healthcare

et al. 2019

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The fast development of the Internet of Things (IoT) technology in recent years has supported connections of numerous smart things along with sensors and established seamless data exchange between them, so it leads to a stringy requirement for data analysis and data storage platform such as cloud computing and fog computing. Healthcare is one of the application domains in IoT that draws enormous interest from industry, the research community, and the public sector. The development of IoT and cloud computing is improving patient safety, staff satisfaction, and operational efficiency in the medical industry. This survey is conducted to analyze the latest IoT components, applications, and market trends of IoT in healthcare, as well as study current development in IoT and cloud computing-based healthcare applications since 2015. We also consider how promising technologies such as cloud computing, ambient assisted living, big data, and wearables are being applied in the healthcare industry and discover various IoT, e-health regulations and policies worldwide to determine how they assist the sustainable development of IoT and cloud computing in the healthcare industry. Moreover, an in-depth review of IoT privacy and security issues, including potential threats, attack types, and security setups from a healthcare viewpoint is conducted. Finally, this paper analyzes previous well-known security models to deal with security risks and provides trends, highlighted opportunities, and challenges for the IoT-based healthcare future development.

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Section: Bluetoothmentioning

confidence: 99%

A Survey on Internet of Things and Cloud Computing for Healthcare

et al. 2019

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“…BLE is readily available in most modern smartphones regardless of the operating system. There are two advertising modes available with BLE: 1) nonconnectable advertising and 2) connectable advertising [27]. The latter advertising mode allows another device to request a secure connection establishment.…”

Section: B Ble Technologymentioning

confidence: 99%

“…We can see that, for 80% of the time, the error is less than 1. 27 from both smartphones were suffered through different paths of attenuation. Hence, even though we tried to calibrate the model based on the environmental factor, the model is unable to capture such variations.…”

Section: E Effect Of Smartphone's Positions On the Bodymentioning

confidence: 99%

COVID-19 and Your Smartphone: BLE-Based Smart Contact Tracing

Spachos

Plataniotis

2021

IEEE Systems Journal

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While contact tracing is of paramount importance in preventing the spreading of infectious diseases, manual contact tracing is inefficient and time consuming as those in close contact with infected individuals are informed hours, if not days, later. This article proposes a smart contact tracing (SCT) system utilizing the smartphone's Bluetooth low energy signals and machine learning classifiers to automatically detect those possible contacts to infectious individuals. SCT's contribution is two-fold: a) classification of the user's contact as high/low-risk using precise proximity sensing, and b) user anonymity using a privacy-preserving communication protocol. To protect the user's privacy, both broadcasted and observed signatures are stored in the user's smartphone locally and only disseminate the stored signatures through a secure database when a user is confirmed by public health authorities to be infected. Using received signal strength each smartphone estimates its distance from other user's phones and issues real-time alerts when social distancing rules are violated. Extensive experimentation utilizing real-life smartphone positions and a comparative evaluation of five machine learning classifiers indicate that a decision tree classifier outperforms other state-of-the-art classification methods with an accuracy of about 90% when two users carry their smartphone in a similar manner. Finally, to facilitate research in this area while contributing to the timely development, the dataset of six experiments with about 123 000 data points is made publicly available.

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“…A typical architecture of IoMT monitoring devices involves sensors connected directly to the human body. In custom solutions such as [72,73], Arduino modules are used to gather medical data from the sensors [12,13,64,[68][69][70]98]. Figure 2 illustrates the communications among various monitoring devices such as wearable sensors and ingestibles.…”

Section: Physiologic Monitoring Devicesmentioning

confidence: 99%

Security in IoMT Communications: A Survey

Koutras

Stergiopoulos

Dasaklis

et al. 2020

Sensors

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The Internet of Medical Things (IoMT) couples IoT technologies with healthcare services in order to support real-time, remote patient monitoring and treatment. However, the interconnectivity of critical medical devices with other systems in various network layers creates new opportunities for remote adversaries. Since most of the communication protocols have not been specifically designed for the needs of connected medical devices, there is a need to classify the available IoT communication technologies in terms of security. In this paper we classify IoT communication protocols, with respect to their application in IoMT. Then we describe the main characteristics of IoT communication protocols used at the perception, network and application layer of medical devices. We examine the inherent security characteristics and limitations of IoMT-specific communication protocols. Based on realistic attacks we identify available mitigation controls that may be applied to secure IoMT communications, as well as existing research and implementation gaps.

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Secure Seamless Bluetooth Low Energy Connection Migration for Unmodified IoT Devices

Cited by 29 publications

References 24 publications

A Survey on Internet of Things and Cloud Computing for Healthcare

A Survey on Internet of Things and Cloud Computing for Healthcare

COVID-19 and Your Smartphone: BLE-Based Smart Contact Tracing

Security in IoMT Communications: A Survey

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