Privacy-Preserving Health Data Collection for Preschool Children

With the development of network technology, more and more data are transmitted over the network and privacy issues have become a research focus. In this paper, we study the privacy in health data collection of preschool children and present a new identity-based encryption protocol for privacy protection. The background of the protocol is as follows. A physical examination for preschool children is needed every year out of consideration for the children's health. After the examination, data are transmitted through the Internet to the education authorities for analysis. In the process of data collection, it is unnecessary for the education authorities to know the identities of the children. Based on this, we designed a privacy-preserving protocol, which delinks the children’s identities from the examination data. Thus, the privacy of the children is preserved during data collection. We present the protocol in detail and prove the correctness of the protocol.

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THE LAW OF MEDICAL PRIVACY IN THE USA: NOT GOOD ENOUGH FOR COVID-19

Medicne pravo ◽

10.25040/medicallaw2021.01.028 ◽

2021 ◽

pp. 28-40

Author(s):

Dean M. Harris

Keyword(s):

Privacy Protection ◽

Health Data ◽

State Laws ◽

Recommendations For Action ◽

The Us ◽

The Usa ◽

The Law ◽

Medical Privacy ◽

Privacy Issues

This article addresses the privacy of medical and health data in the US. It analyzes the scope and requirements of federal and state laws in the US, and it discusses the weaknesses in the US protection of medical privacy. Then, this article explains how the weak US system of privacy protection was unable to handle many important privacy issues in the COVID-19 pandemic. Finally, the article concludes with some recommendations for action.

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Privacy in the Internet of Things

Censorship, Surveillance, and Privacy ◽

10.4018/978-1-5225-7113-1.ch077 ◽

2019 ◽

pp. 1569-1584

Author(s):

Jayashree Kanniappan ◽

Babu Rajendiran

Keyword(s):

Data Collection ◽

Internet Of Things ◽

Personal Life ◽

Smart Devices ◽

The Internet ◽

Privacy Threats ◽

And Performance ◽

Internet Of Things Technology ◽

Privacy Issues ◽

The Internet Of Things

Internet of Things technology is rapidly gaining popularity, not only in industrial and commercial environments, but also in personal life by means of smart devices at home. The Internet of Things (IoT) spawn new businesses and make buildings, cities and transport smarter. The IoT allows for ubiquitous data collection or tracking, but these useful features are also examples of privacy threats that are already limiting the success of the IoT vision when not implemented correctly. Privacy should be protected in the device, in storage, during communication, and at processing. The privacy of users and their data protection have been identified as one of the important challenges that need to be addressed in the IoT. The chapter presents the IoT technology, the various applications, and privacy issues. Various other issues such as security and performance are also addressed.

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Privacy in the Internet of Things

The Internet of Things in the Modern Business Environment - Advances in E-Business Research ◽

10.4018/978-1-5225-2104-4.ch005 ◽

2017 ◽

pp. 94-109 ◽

Cited By ~ 1

Author(s):

Jayashree Kanniappan ◽

Babu Rajendiran

Keyword(s):

Data Collection ◽

Internet Of Things ◽

Personal Life ◽

Smart Devices ◽

The Internet ◽

Privacy Threats ◽

And Performance ◽

Internet Of Things Technology ◽

Privacy Issues ◽

The Internet Of Things

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Key Technologies of IoT Service Security and Privacy Protection

CONVERTER ◽

10.17762/converter.158 ◽

2021 ◽

pp. 70-79

Author(s):

Dongxian Yu, Jiatao Kang, Junlei Dong

Keyword(s):

Internet Of Things ◽

Privacy Protection ◽

Data Exchange ◽

Large Scale ◽

Security And Privacy ◽

The Internet ◽

Technical Problems ◽

Key Technologies ◽

Privacy Issues ◽

The Internet Of Things

The Internet of Things in the industrial industry has attracted widespread attention from the government, academia, and industry due to its huge application prospects. The core ideas of the Internet of things are perception, control, transmission and intelligence. Through technical means to achieve the coordination between things, people and things, and people, so as to form a larger complex network system on the basis of sensor network, Internet and mobile communication network. The data Shared by Internet of things information is closely related to personal life behaviors, and the information has a greater perceived correlation with each other. This kind of sensibility and sensitivity put forward higher requirements for the security and privacy protection of Internet of things information sharing. However, due to the characteristics of network structure, terminal equipment, communication mode and application scenario, some security and privacy issues unique to the Internet of things cannot be solved directly through existing Internet security technologies. It is necessary to conduct in-depth research on the key technologies of Internet of things security and privacy protection. This article briefly describes the Internet of things security and privacy issues, then, it gives the research and application status of Internet of things security and privacy protection at home and abroad, then lists the key technical problems in Internet of things security and privacy protection. And for communication between large scale collaborative services. Based on publish/subscribe paradigm, this paper constructs collaborative communication facilities of Internet of things services suitable for large-scale distribution, and an access control architecture for managing service synergy interactions, achieve confidentiality of data exchange between services and privacy protection of service policies.

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Practical Secure Transaction for Privacy-Preserving Ride-Hailing Services

Security and Communication Networks ◽

10.1155/2018/8053967 ◽

2018 ◽

Vol 2018 ◽

pp. 1-8 ◽

Cited By ~ 1

Author(s):

Chenglong Cao ◽

Xiaoling Zhu

Keyword(s):

Privacy Protection ◽

Rapid Development ◽

Privacy Preserving ◽

Blind Signature ◽

Security And Privacy ◽

The Internet ◽

Service Platform ◽

Hash Chain ◽

Partially Blind Signature ◽

The Face

Ride-hailing service solves the issue of taking a taxi difficultly in rush hours. It is changing the way people travel and has had a rapid development in recent years. Since the service is offered over the Internet, there is a great deal of uncertainty about security and privacy. Focusing on the issue, we changed payment pattern of existing systems and designed a privacy protection ride-hailing scheme. E-cash was generated by a new partially blind signature protocol that achieves e-cash unforgeability and passenger privacy. Particularly, in the face of a service platform and a payment platform, a passenger is still anonymous. Additionally, a lightweight hash chain was constructed to keep e-cash divisible and reusable, which increases practicability of transaction systems. The analysis shows that the scheme has small communication and computation costs, and it can be effectively applied in the ride-hailing service with privacy protection.

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Participant recruitment and data collection through Facebook: the role of personality factors

10.31234/osf.io/qg3rt ◽

2017 ◽

Author(s):

Sean Chandler Rife ◽

Kelly L. Cate ◽

Michal Kosinski ◽

David Stillwell

Keyword(s):

Data Collection ◽

Social Research ◽

Personality Factors ◽

The Internet ◽

Data Sets ◽

Social Networking Service ◽

Participant Recruitment ◽

Conducting Research ◽

Promising Avenue

As participant recruitment and data collection over the Internet have become more common, numerous observers have expressed concern regarding the validity of research conducted in this fashion. One growing method of conducting research over the Internet involves recruiting participants and administering questionnaires over Facebook, the world’s largest social networking service. If Facebook is to be considered a viable platform for social research, it is necessary to demonstrate that Facebook users are sufficiently heterogeneous and that research conducted through Facebook is likely to produce results that can be generalized to a larger population. The present study examines these questions by comparing demographic and personality data collected over Facebook with data collected through a standalone website, and data collected from college undergraduates at two universities. Results indicate that statistically significant differences exist between Facebook data and the comparison data-sets, but since 80% of analyses exhibited partial η2 < .05, such differences are small or practically nonsignificant in magnitude. We conclude that Facebook is a viable research platform, and that recruiting Facebook users for research purposes is a promising avenue that offers numerous advantages over traditional samples.

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Perancangan Smart Home Berbasis Jaringan Sensor Nirkabel

JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI ◽

10.36722/sst.v3i2.188 ◽

2017 ◽

Vol 3 (2) ◽

pp. 76

Author(s):

Octarina Nur Samijayani ◽

Ibnu Fauzi

Keyword(s):

Wireless Sensor Network ◽

Response Time ◽

Sensor Network ◽

Smart Home ◽

Performance Testing ◽

Maximum Distance ◽

Wireless Sensor ◽

The Internet ◽

Network Technology ◽

Internet Network

Abstrak - Keamanan rumah menjadi hal yang sangat penting ketika pemilik rumah meninggalkan rumah dalam keadaan kosong. Selain pencurian, kebakaran juga merupakan masalah yang sering kali terjadi ketika rumah ditinggal pemiliknya. Sebagai alternatif solusi untuk menjaga dan mengawasi rumah yang diajukan pada penelitian ini ialah menggunakan teknologi Jaringan Sensor Nirkabel yang terintegrasi dengan jaringan internet, sehingga pemilik rumah tetap dapat mengawasi keadaan rumah dari jarak jauh. Pada penelitian ini dirancang prototype sistem rumah pintar atau Smart Home yang memanfaatkan teknologi Jaringan Sensor Nirkabel menggunakan standard Zigbee. Beberapa node sensor ditempatkan pada peralatan rumah, dimana setiap node dapat saling berkomunikasi secara wireless dan terpusat di node kordinator. Selanjutnya node kordinatior akan terhubung ke jaringan internet sehingga pemilik rumah dapat membuka aplikasi smart home kapan saja dan dimana saja. Rancangan sistem Smart Home disimulasikan menggunakan rumah model untuk menguji kinerja perangkat Smart Home. Pengujian kinerja Smart Home dimulai dengan pengujian keakurasian masing masing data sensor hingga waktu respon komunikasi dari sensor ke pusat monitoring. Tingkat error pembacaan suhu disetiap ruangan ialah 1 - 4.27%. Sensor PIR berhasil mendeteksi keberadaan orang di suatu ruangan dengan waktu delay adalah 2.8 detik dengan jarak maksimal 5 meter. Fungsi kendali dan monitoring (on/off) perangkat elektronik bekerja dengan baik, dengan waktu respon kurang dari 1 detik. Dari hasil pengujian komunikasi nirkabel antar node, diperoleh bahwa jarak maksimal antar node ialah sekitar 20 m, dengan rata-rata waktu respon pengiriman data ialah 1-2 detik. Adapun waktu respon mengalami delay mencapai 2 detik apabila beberapa perintah kendali dilakukan pada waktu yang bersamaan. Kata Kunci - Smart Home, Jaringan Sensor Nirkabel, Zigbee. Abstrak - Home security becomes very important when homeowners leave the house empty. In addition to theft, fire is also a problem that often occurs when the house left the owner. As an alternative solution to maintain and supervise the homes submitted in this study is to use Wireless Sensor Network technology integrated with the Internet network, so that homeowners can still monitor the state of the house remotely. In this study designed prototype smart home system or Smart Home which utilizes Wireless Sensor Network technology using Zigbee standard. Some sensor nodes are placed in the home equipment, where each node can communicate wirelessly and centrally at the coordinator node. Next node coordinate will be connected to the internet network so that homeowners can open smart home application anytime and anywhere. The Smart Home system design is simulated using a home model to test the performance of Smart Home devices. Smart Home performance testing begins with testing the accuracy of each sensor data until the communication response time from the sensor to the monitoring center. The error rate of temperature readings in each room is 1 - 4.27%. PIR sensor successfully detects the presence of people in a room with a delay time is 2.8 seconds with a maximum distance of 5 meters. The control and monitoring functions (on / off) of electronic devices work well, with a response time of less than 1 second. From the results of testing wireless communication between nodes, obtained that the maximum distance between nodes is about 20 m, with the average response time of data transmission is 1-2 seconds. The response time has a delay of 2 seconds if some control commands are done at the same time. Keywords - Smart Home, Jaringan Sensor Nirkabel, Zigbee.

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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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