The Future of Privacy and Trust on the Internet of Things (IoT) for Healthcare

Bikos, Anastasios N.; Sklavos, Nicolas

doi:10.1201/9780429270567-3

Cited by 6 publications

(6 citation statements)

References 1 publication

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“…Nowadays, the Internet of Things (IoT) interlinks the Internet World Wide Web with sensors and a plethora of devices, predominantly using IPbased connectivity. Undeniably, the principal benefit of the IoT visualization is the extreme implications it will carry on several sectors of daily life and traits of candidate users, from the private and public sector to our personal life domain [5].…”

Section: B the Iot Vision: Background And Architecture Overviewmentioning

confidence: 99%

“…Clearly, from an architecture angle, Internet-of-Things (IoT) leverages several layers, as shown in Figure 2. The two minor layers commit to data apprehension and acquisition, whereas the two superior layers are mainly accountable for data usage in most applicability scenarios [5].…”

Section: B the Iot Vision: Background And Architecture Overviewmentioning

confidence: 99%

“…We base our following definitions to formulate the security & privacy challenges for IoT, per each layer, in the next section(s), with the functions of the layers following next [5]…”

Section: B the Iot Vision: Background And Architecture Overviewmentioning

confidence: 99%

“…Another scenario is when a smart contract can simulate a central "banking" authority (validator) in a non-centralized intelligent power electricity application (e.g., smart grid metering), in these cases, the agreement (s) are updated and stored by the IoT devices themselves. Indeed, the application domain of such a primitive model is countless, including micro-transactions, smart cities, eHealthcare, remote medical operations, Telemedicine [5], smart electricity metering, intelligent homes, and even more critical Cyber- VOLUME 4, 2016 Physical-System Infrastructures (CPS). As we will discuss later, this fundamental model component drives the concept to enable the collaboration and enhancement of IoT through the distributed ledger technologies.…”

Section: Introductionmentioning

confidence: 99%

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Securing Digital Ledger Technologies-Enabled IoT Devices: Taxonomy, Challenges, and Solutions

Bikos

Kumar

2022

IEEE Access

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With the faster maturity and stability of digitization, connectivity and edge technologies, the number of the Internet of Things (IoT) devices and sensors is flourishing fast in important junctions such as homes, hotels, hospitals, retail stores, manufacturing floors, railway stations, airports, oil wells, warehouses, etc. However, in this extremely connected world, the security implications for IoT devices are getting worse with the constant rise in malicious cyberattacks. The challenge is how to secure IoT sensors, services and data. The blockchain technology, a prominent distributed ledger technology (DLT), is being pronounced as the way forward for safeguarding IoT devices and data. The Directed Acyclic Graph (DAG)-based DLT has the inherent potential to realize the benefits of blockchain with better performance. IOTA is a DAGbased blockchain implementation for the IoT era. The Tangle, the IOTA's network immutably records the exchange of data and value. It ensures that the information is trustworthy and cannot be tampered with nor destroyed. In this work, we depict a thorough analysis of the existing security studies for IOTA. Then, we identify the gaps and the limitations of these security solution schemes, and finally, propose future security research recommendations that can potentially fill these gaps to secure DLT-enabled IoT devices.

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Section: B the Iot Vision: Background And Architecture Overviewmentioning

confidence: 99%

Section: B the Iot Vision: Background And Architecture Overviewmentioning

confidence: 99%

“…We base our following definitions to formulate the security & privacy challenges for IoT, per each layer, in the next section(s), with the functions of the layers following next [5]…”

Section: B the Iot Vision: Background And Architecture Overviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Securing Digital Ledger Technologies-Enabled IoT Devices: Taxonomy, Challenges, and Solutions

Bikos

Kumar

2022

IEEE Access

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“…That information included the device's model, screen size, language, and, in some cases, sensitive user information such as gender, geo-location, running routes, sleeping patterns, or even eating habits. It is by no doubt that activity and health tracking applications collect and manage sensitive data by design [56], therefore the security and privacy requirements defined by data protection laws, such as the General Data Protection Regulation (GDPR) in the EU, as well as security issues from a technological point of view have to be researched.…”

Section: Security and Privacy Vulnerability Issues In Fitness Tracking Devicesmentioning

confidence: 99%

On General Data Protection Regulation Vulnerabilities and Privacy Issues, for Wearable Devices and Fitness Tracking Applications

Ioannidou

Sklavos

2021

Cryptography

Self Cite

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Individual users’ sensitive information, such as heart rate, calories burned, or even sleep patterns, are casually tracked by smart wearable devices to be further processed or exchanged, utilizing the ubiquitous capabilities of Internet of Things (IoT) technologies. This work aims to explore the existing literature on various data privacy concerns, posed by the use of wearable devices, and experimentally analyze the data exchanged through mobile applications, in order to identify the underlying privacy and security risks. Emulating a man-in-the-middle attack scenario, five different commercial fitness tracking bands are examined, in order to test and analyze all data transmitted by each vendor’s suggested applications. The amount of personal data collected, processed, and transmitted for advertising purposes was significant and, in some cases, highly affected the network’s total overhead. Some of the applications examined requested access for sensitive data driven device functionalities, such as messaging, phone calling, audio recording, and camera usage, without any clear or specific reason stated by their privacy policy. This paper concludes by listing the most critical aspects in terms of privacy and security concerning some of the most popular commercial fitness tracking applications.

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SWIoTA: Anomaly Detection for Distributed Ledger Technology-Based Internet of Things (IOTA) Using Sliding Window (SW) Technique

Kumar

Ahmed

Bikos

2022

Internet of Things. IoT Through a Multi-Disciplinary Perspective

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The Future of Privacy and Trust on the Internet of Things (IoT) for Healthcare

Cited by 6 publications

References 1 publication

Securing Digital Ledger Technologies-Enabled IoT Devices: Taxonomy, Challenges, and Solutions

Securing Digital Ledger Technologies-Enabled IoT Devices: Taxonomy, Challenges, and Solutions

On General Data Protection Regulation Vulnerabilities and Privacy Issues, for Wearable Devices and Fitness Tracking Applications

SWIoTA: Anomaly Detection for Distributed Ledger Technology-Based Internet of Things (IOTA) Using Sliding Window (SW) Technique

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