Threats in the Internet of Things Pertaining to Digital Data

Author(s):  
Qamar ul Arafeen ◽  
Asif Kamran ◽  
Najam ul Arifeen ◽  
Asad Ali Shaikh ◽  
Nadeem A Syed
2018 ◽  
Vol 6 (3) ◽  
pp. 359-363
Author(s):  
A. Saxena ◽  
◽  
S. Sharma ◽  
S. Dangi ◽  
A. Sharma ◽  
...  

Author(s):  
Rafeek Mamdouh Tawfiq Yanni ◽  
Hazem M. El-Bakry ◽  
Alaa Riad ◽  
Nashaat El-Khamisy

<p>The development of the internet of things makes all objects interconnected, making it the next technical revolution. It has been applied extensively in various sectors, including agriculture, smart parking, and industrial places, and most importantly, in the health monitoring process.[1] To monitor or its application in surgery procedure is one of its uses in healthcare. This project proposes a system aimed to solve sudden occurrences and emergencies during the operation process. The system's objective is to minimize deaths and other possible effects of the phenomena by connecting the surgeon with an online specialist all over the world. The proposed system architecture is based on medical sensors measuring the patient's physical parameters utilizing wireless sensor networks. The sensors send the parameters to the Raspberry Pi, which converts them to digital data. The digital data is transferred over the wireless network to the server, which is then sent to the cloud environment using the internet of things. Additionally, In case of any problem, the system works by sending the surgeon a voice signal to open the system and record the message and send it with the video that was recorded by the Raspberry pi cameras through the server to all the surgeons involved in the system through the Internet of things all over the world. Then the surgeons from across the globe communicate according to his specialty of assistant surgeon to communicate with the surgeon inside the operating room through headset and microphone.</p>


2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Christian Montag ◽  
Paul Dagum ◽  
Brian J. Hall ◽  
Jon D. Elhai

AbstractDigital data are abundantly available for researchers in the age of the Internet of Things. In the psychological and psychiatric sciences such data can be used in myriad ways to obtain insights into mental states and traits. Most importantly, such data allow researchers to record and analyze behavior in a real-world context, a scientific approach which was expensive and difficult to conduct until only recently. Much research in recent years linked digital footprints to self-report questionnaire data, likely to demonstrate proof of concept(s)—for instance linking socializing on the smartphone to self-reported extraversion (a personality trait linked to socializing)—in the sciences investigating the human mind. The present perspective piece reflects on this approach by revisiting recent work which has been carried out mining smartphone log and social media data and questions if and when self-report data will still be of relevance in psychological/psychiatric research in the near future.


2017 ◽  
Author(s):  
Alex X. Liu ◽  
Muhammad Shahzad ◽  
Xiulong Liu ◽  
Keqiu Li

2020 ◽  
pp. 1-12
Author(s):  
Zhang Caiqian ◽  
Zhang Xincheng

The existing stand-alone multimedia machines and online multimedia machines in the market have certain deficiencies, so they cannot meet the actual needs. Based on this, this research combines the actual needs to design and implement a multi-media system based on the Internet of Things and cloud service platform. Moreover, through in-depth research on the MQTT protocol, this study proposes a message encryption verification scheme for the MQTT protocol, which can solve the problem of low message security in the Internet of Things communication to a certain extent. In addition, through research on the fusion technology of the Internet of Things and artificial intelligence, this research designs scheme to provide a LightGBM intelligent prediction module interface, MQTT message middleware, device management system, intelligent prediction and push interface for the cloud platform. Finally, this research completes the design and implementation of the cloud platform and tests the function and performance of the built multimedia system database. The research results show that the multimedia database constructed in this paper has good performance.


2019 ◽  
pp. 4-44 ◽  
Author(s):  
Peter Thorns

This paper discusses the organisations involved in the development of application standards, European regulations and best practice guides, their scope of work and internal structures. It considers their respective visions for the requirements for future standardisation work and considers in more detail those areas where these overlap, namely human centric or integrative lighting, connectivity and the Internet of Things, inclusivity and sustainability.


2019 ◽  
Vol 14 (5) ◽  
pp. 375
Author(s):  
Vladimir P. Zhalnin ◽  
Anna S. Zakharova ◽  
Demid A. Uzenkov ◽  
Andrey I. Vlasov ◽  
Alexey I. Krivoshein ◽  
...  

2017 ◽  
Vol 10 ◽  
pp. 120-124
Author(s):  
R.S. Khisamov ◽  
◽  
R.A. Gabdrahmanov ◽  
A.P. Bespalov ◽  
V.V. Zubarev ◽  
...  

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Bambang Widagdo ◽  
Mochamad Rofik

The economic diversification concept gives hope for a country with rich natural resources to strengthen its economic basis. Thus industrial revolution era of 4.0 provides great opportunity to fasten the process. A study by McKensey in 2011 proved that the internet in the developing country contributes around 3.4% towards its GDP which means that the internet has become a new hope for the economy in the future. Indonesia is one of the countries that is attempting to maximize the role of the Internet of Things (IoT) for its economic growth.� The attempt has made the retail and tourism industries as the two main sectors to experience the significant effect of IoT. In the process of optimizing the IoT to support the economic growth, Indonesia faces several issues especially in the term of the internet network quality and its distribution, the inclusive access of financial access and the infrastructure


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