TILAA: Tactile Internet-based Ambient Assistant Living in fog environment

Vora, Jayneel; Kaneriya, Shriya; Tanwar, Sudeep; Tyagi, Sudhanshu; Kumar, Neeraj; Obaidat, Mohammad S.

doi:10.1016/j.future.2019.01.035

Cited by 60 publications

(18 citation statements)

References 30 publications

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“…The proposed algorithm was evaluated based on performance and cost-effectiveness. Vora et al designed TILAA [31], a tactile-based framework that analyzes patient health conditions using multiple sensing devices and sends tactile feedback to the healthcare service provider in case of an emergency. Similarly, the authors of [32] proposed a fog-assisted continuous monitoring system, which remotely analyzes patient health conditions (such as glucose level, ECG, falls, and activities) and provides advanced services (such as interoperability, security, and local data storage).…”

Section: B Health Fog Algorithmmentioning

confidence: 99%

Secure Health Fog: A Novel Framework for Personalized Recommendations Based on Adaptive Model Tuning

2021

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The emergence of smart technology has equipped humans with wearables and sensors that collect relevant data related to individuals and their surroundings. In healthcare, the collected data can monitor user emotion, behavior, and activity, which leads to the development of personalized decisions and improves lifestyle. In this paper, we analyzed the existing health fog framework and identified its limitations in terms of security, performance, and accuracy. Based on these limitations, we propose a secure health fog (SHF) framework that collects data from different Internet of Things (IoT) devices and maintains a personalized repository for adaptive model tuning. The adaptive model improves periodically based on user feedback and generates a personalized recommendation. Moreover, the existing IoT devices mostly rely on low-cost and low-power Zigbee technology, which is vulnerable to different attacks, such as device control, eavesdropping, fake device injection, malicious insider, man-in-the-middle, masquerading, message tampering, privacy leakage, and replay attack. Therefore, we propose a Zigbee Secure Health Fog (ZigbeeSHF) protocol, which uses symmetric and public-key cryptography to prevent these attacks. For data migration security, we concatenate the encrypted data with the encrypted digital signature to provide data authenticity, integrity, and confidentiality. To support our claims, we use the automated formal verification tools Scyther and AVISPA (Automated Validation of Internet Security Protocols and Applications), which evaluate the protocols based on the threat model and exploits the vulnerabilities in different attacking environments. The results of both tools ensure prevention against the mentioned attacks. As a proof of concept, we also evaluate the accuracy and performance of our proposed framework in a smart studio apartment. The result shows that the adaptive model tuned for an individual user is very effective, and the average accuracy of 32.5% is improved after one month. Furthermore, the proposed ZigbeeSHF protocol requires 7.93% and 25.35% more computation time than Zigbee with and without installation code, respectively.INDEX TERMS Secure health fog, adaptive model tuning, personalized decision, security, Zigbee I. INTRODUCTIONWith the emergence of smart technology and ubiquitous computing, different sensors and wearable devices can collect information related to a specific user and their surrounding environment. The information collected from these sensors can facilitate the user in their daily life, such as task reminder, medication intake, fitness, adjustment of room temperature, lighting, ventilation, etc. Such innovation makes the user's

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Section: B Health Fog Algorithmmentioning

confidence: 99%

Secure Health Fog: A Novel Framework for Personalized Recommendations Based on Adaptive Model Tuning

2021

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“…Moreover, open-source tools and datasets aid researchers in formulating theories, devising experimental results, and developing system models. [95].…”

Section: Open Source Tools and Datasetsmentioning

confidence: 99%

IoT Vulnerability Assessment for Sustainable Computing: Threats, Current Solutions, and Open Challenges

et al. 2020

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Over the last few decades, sustainable computing has been widely used in areas like social computing, artificial intelligence-based agent systems, mobile computing, and Internet of Things (IoT). There are social, economic, and commercial impacts of IoT on human lives. However, IoT nodes are generally power-constrained with data transmission using an open channel, i.e., Internet which opens the gates for various types of attacks on them. In this context, several efforts are initiated to deal with the evolving security issues in IoT systems and make them self-sufficient to harvest energy for smooth functioning. Motivated by these facts, in this paper, we explore the evolving vulnerabilities in IoT devices. We provide a state-of-the-art survey that addresses multiple dimensions of the IoT realm. Moreover, we provide a general overview of IoT, Sustainable IoT, its architecture, and the Internet Engineering Task Force (IETF) protocol suite. Subsequently, we explore the open-source tools and datasets for the proliferation in research and growth of IoT. A detailed taxonomy of attacks associated with various vulnerabilities is also presented in the text. Then we have specifically focused on the IoT Vulnerability Assessment techniques followed by a case study on sustainability of Smart Agriculture. Finally, this paper outlines the emerging challenges related to IoT and its sustainability, and opening the doors for the beginners to start research in this promising area.

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“…The 5G can deliver high data rates, low latency, and enhanced connectivity for M2M communication compared to 4G-LTE to most challenging IoT applications. IoT systems are trying to improve the living standard of life, which includes the connection between devices in applications, such as smart home automation, smart buildings, smart environments, and smart cities [26,35].…”

Section: G Enabled Iotmentioning

confidence: 99%

Emerging Communication Technologies for 5G-Enabled Internet of Things Applications

Kumhar

Bhatia²

2020

Blockchain for 5g-Enabled IoT

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The IoT has gained much interest recently due to its ability to connect many realworld objects. It can play a vital role in many domains to improve the quality of life in different areas such as smart homes, medical health, education, industry, agriculture, transports, and smart cities. Now there is a paradigm shift towards the concept of "anytime, anywhere, anyone, connected to anything." In many areas, whether it is our homes or workplace, the devices are becoming essential for our daily lifestyle. IoT has made it possible to connect everyone with everything in the environment [1]. Connecting different devices and adding sensors enhance a level of intelligence to devices, otherwise they would be dumb, making them transfer up-todate data without any human involvement. The organization of the chapter is shown in Fig. 6.1. Contribution and MotivationInternet of Things (IoT) is very important for the upcoming 5G mobile networks, which will enable several innovative IoT applications which include Self-driving cars, Healthcare, Smart cities, and other enormous IoT use cases set in 5G standards.

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TILAA: Tactile Internet-based Ambient Assistant Living in fog environment

Cited by 60 publications

References 30 publications

Secure Health Fog: A Novel Framework for Personalized Recommendations Based on Adaptive Model Tuning

Secure Health Fog: A Novel Framework for Personalized Recommendations Based on Adaptive Model Tuning

IoT Vulnerability Assessment for Sustainable Computing: Threats, Current Solutions, and Open Challenges

Emerging Communication Technologies for 5G-Enabled Internet of Things Applications

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