A survey on privacy issues and solutions for Voice-controlled Digital Assistants

Demographic attributes of customers such as gender, age, etc. provide the important information for e-commerce service providers in marketing, personalization of web applications. However, the online customers often do not provide this kind of information due to the privacy issues and other reasons. In this paper, we proposed a method for predicting the gender of customers based on their catalog viewing data on e-commerce systems, such as the date and time of access, the products viewed, etc. The main idea is that we extract the features from catalog viewing information and employ the classification methods to predict the gender of the viewers. The experiments were conducted on the datasets provided by the PAKDD’15 Data Mining Competition and obtained the promising results with a simple feature design, especially with the Bayesian Network method along with other supporting techniques such as resampling, cost-sensitive learning, boosting etc.

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Online, Asynchronous Data Collection in Qualitative Research

The Oxford Handbook of Methods for Public Scholarship ◽

10.1093/oxfordhb/9780190274481.013.28 ◽

2019 ◽

pp. 442-467

Author(s):

Tracy Spencer ◽

Linnea Rademaker ◽

Peter Williams ◽

Cynthia Loubier

Keyword(s):

Qualitative Research ◽

Data Collection ◽

Face To Face ◽

Research Outcomes ◽

Data Collection Strategy ◽

Time Distance ◽

Privacy Issues

The authors discuss the use of online, asynchronous data collection in qualitative research. Online interviews can be a valuable way to increase access to marginalized participants, including those with time, distance, or privacy issues that prevent them from participating in face-to-face interviews. The resulting greater participant pool can increase the rigor and validity of research outcomes. The authors also address issues with conducting in-depth asynchronous interviews such as are needed in phenomenology. Advice from the field is provided for rigorous implementation of this data collection strategy. The authors include extensive excerpts from two studies using online, asynchronous data collection.

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Cyber-Situational Awarenss in Clinical Trials Using Wearable Device Technology

Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care ◽

10.1177/2327857921101011 ◽

2021 ◽

Vol 10 (1) ◽

pp. 33-36

Author(s):

Elizabeth A. Johnson ◽

Jane M. Carrington

Keyword(s):

Clinical Trials ◽

Informed Consent ◽

Best Practices ◽

Situational Awareness ◽

Implantable Devices ◽

Wearable Device ◽

Sleep Habits ◽

Privacy Issues ◽

Trial Participants ◽

Device Technology

It is estimated 1 in 3 clinical trials utilize a wearable device to gather real-time participant data, including sleep habits, telemetry, and physical activity. While wearable technologies (including smart watches, USBs, and implantable devices) have been revolutionary in their ability to provide a higher precision and accuracy to data acquisition external to the research milieu, there is hesitancy among providers and participants alike given security concerns, perception of cyber-related threats, and meaning attributed to privacy issues. The purpose of this research is to define cyber-situational awareness (CSA) as it pertains to clinical trials, evaluate its current measurement, and describe best practices for research investigators and trial participants to enhance protections in the digital age. This paper reviews integrated elements of CSA within the process of informed consent when wearable devices are implemented for trial procedures. Evaluation of CSA as part of informed consent allows the research site to support the participant in knowledge gaps surrounding the technology while also providing feedback to the trial sponsor as to technology improvements to enhance usability and wearability of the device.

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A Lightweight Blockchain-Based IoT Identity Management Approach

Future Internet ◽

10.3390/fi13020024 ◽

2021 ◽

Vol 13 (2) ◽

pp. 24

Author(s):

Mohammed Amine Bouras ◽

Qinghua Lu ◽

Sahraoui Dhelim ◽

Huansheng Ning

Keyword(s):

Identity Management ◽

Single Point ◽

Data Access ◽

Emerging Technology ◽

Management Approach ◽

Proof Of Concept ◽

Data Access Control ◽

And Storage ◽

Privacy Issues ◽

Centralized System

Identity management is a fundamental feature of Internet of Things (IoT) ecosystem, particularly for IoT data access control. However, most of the actual works adopt centralized approaches, which could lead to a single point of failure and privacy issues that are tied to the use of a trusted third parties. A consortium blockchain is an emerging technology that provides a neutral and trustable computation and storage platform that is suitable for building identity management solutions for IoT. This paper proposes a lightweight architecture and the associated protocols for consortium blockchain-based identity management to address privacy, security, and scalability issues in a centralized system for IoT. Besides, we implement a proof-of-concept prototype and evaluate our approach. We evaluate our work by measuring the latency and throughput of the transactions while using different query actions and payload sizes, and we compared it to other similar works. The results show that the approach is suitable for business adoption.

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Special Issue on Security and Privacy Issues of Home Globalization

IEEE Security & Privacy ◽

10.1109/msec.2020.3042444 ◽

2021 ◽

Vol 19 (1) ◽

pp. 11-11

Keyword(s):

Security And Privacy ◽

Special Issue ◽

Privacy Issues

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P50 Exploring the Merits and Availability of Smartphone Applications Related to Melanoma

BJS Open ◽

10.1093/bjsopen/zrab032.049 ◽

2021 ◽

Vol 5 (Supplement_1) ◽

Author(s):

Jade Kabbani ◽

Jamil Kabbani ◽

Jade Kabbani

Keyword(s):

Clinical Management ◽

Literature Search ◽

Patient Access ◽

Smartphone Applications ◽

App Store ◽

Widespread Availability ◽

Smartphone Use ◽

Clinical Tools ◽

Google Play ◽

Privacy Issues

Abstract Background The increased use of smartphone applications across healthcare specialties has been particularly relevant in dermatology, with dermatology related applications widely available on mainstream application stores. We reviewed published literature regarding melanoma-related applications, and the number and types of such applications available for download. Methods A literature search of “dermatology”, “smartphone” and “melanoma” was conducted to identify publications assessing applications of interest. “Melanoma” was searched in Apple’s (iOS) “App Store” and Google’s “Google Play”, and application purposes and ratings were analysed. Results 54 of the 63 literature search results explored smartphone use in relation to melanoma, describing benefits including quicker patient access to care, reduced referrals and hence unnecessary consultations, and improved accessibility to information. However, concerns include insufficient image quality, privacy issues related to encryption, and diagnostic inaccuracy. Searches on the Google Play and iOS stores identified 249 and 51 apps respectively. 25% of Google Play results were categorised as clinical tools, 17% as educational, and 58% as recreational. The corresponding results for the App store were 92%, 6% and 2%. 81% of the educational apps and 92% of the clinical management apps related to dermatology and melanoma on Google Play, whereas all of the clinical management apps and 67% of the education apps on the App store were of relevance. Conclusion The results illustrate the widespread availability of applications related to melanoma, particularly for educational and clinical purposes. Standardising photographing techniques, improving diagnostic accuracy, and privacy issues are important aspects to consider and warrant further investigation.

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DynamiChain: Development of Medical Blockchain Ecosystem Based on Dynamic Consent System

Applied Sciences ◽

10.3390/app11041612 ◽

2021 ◽

Vol 11 (4) ◽

pp. 1612

Author(s):

Tong Min Kim ◽

Seo-Joon Lee ◽

Dong-Jin Chang ◽

Jawook Koo ◽

Taenam Kim ◽

...

Keyword(s):

Industrial Revolution ◽

Health Management ◽

Personal Health Information ◽

Healthcare Sector ◽

Personal Health ◽

Health Examination ◽

Fourth Industrial Revolution ◽

Management Algorithm ◽

Dynamic Consent ◽

Privacy Issues

Although blockchain is acknowledged as one of the most important technologies to lead the fourth industrial revolution, major technical challenges regarding security breach and privacy issues remain. This issue is particularly sensitive in applied medical fields where personal health information is handled within the network. In addition, contemporary blockchain-converged solutions do not consider restricted medical data regulations that are still obstacles in many countries worldwide. This implies a crucial need for a system or solution that is suitable for the healthcare sector. Therefore, this article proposes the development of a dynamic consent medical blockchain system called DynamiChain, based on a ruleset management algorithm for handling health examination data. Moreover, medical blockchain-related studies were systematically reviewed to prove the novelty of DynamiChain. The proposed system was implemented in a scenario where the exercise management healthcare company provided health management services based on data obtained from the data provider’s hospital. The proposed research is envisioned to provide a widely compatible blockchain medical system that could be applied in future healthcare fields.

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