Security in IoT and Big Data With Technical Challenges

2019 ◽  
pp. 197-210 ◽  
Author(s):  
Mamata Rath
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Mobile Phones ◽  
Social Insurance ◽  
Insurance Industry ◽  
Big Data Analytics ◽  
Business Analytics ◽  
Security Issues ◽  
The Social ◽  
Massive Data Processing

There are higher rates of mobile devices in current networks that are associated with each other intelligently using internet of things (IoT) domain to make diverse communication in various applications. Therefore, security issues are a major concern to accomplish a protected communication. There are many functions and cryptographic algorithms developed during research which can be utilized as a part of the communication trade among the devices to make secure internet of things networks in an approach to ensure right transmission. Big data is the most demanding concept used in business analytics and massive data processing. It is heard all over the place, particularly in the social insurance industry. Traditionally, the tremendous measure of data produced by the medicinal services industry was put away as printed version. This data has the ability to help an extensive variety of medicinal services and restorative capacities. The digitization of such data is called big data. The chapter features critical security issues in IoT-associated devices both in wireless network and big data analytics along with all other widely used area where IoT environment has been implemented. It also describes security issues in IoT systems particularly when IoT computing devices are used in critical real-time applications such as utilizing IoT frameworks involving information transmission with mobile phones, existing secured systems for enormous information, and individual information security including verification and secured correspondence in IoT.

Emerging Strategies to Big Data Analytics in Healthcare

2021 ◽  
pp. 254-260
Author(s):  
Tanmayee Tushar Parbat ◽  
Rohan Benhal ◽  
Honey Jain ◽  
Dr. Vinayak Musale
Keyword(s):  
Big Data ◽  
Human Services ◽  
Social Insurance ◽  
Insurance Industry ◽  
Big Data Analytics ◽  
Clinical Assessments ◽  
The Social ◽  
Effective Administration ◽  
Clinical Records ◽  
General Wellbeing

Big data is gigantic measures of data that can do some incredible things. It has gotten a subject specifically compelling for as long as two decades in view of a high potential that is covered up in it. Different open and private part ventures create, store, and break down huge information to improve the administrations they give. In the social insurance industry, various hotspots for huge information incorporate emergency clinic records, clinical records of patients, aftereffects of clinical assessments, and gadgets that are a piece of the web of things. Biomedical examination additionally creates a critical bit of enormous information pertinent to open medicinal services. This information requires legitimate administration and examination to determine important data. Something else, looking for an answer by breaking down large information rapidly gets tantamount to finding a needle in the pile. There are different difficulties related with each progression of dealing with huge information which must be outperformed by utilizing very good quality registering answers for huge information investigation. That is the reason, to give significant answers for improving general wellbeing, social insurance suppliers are required to be completely outfitted with proper framework to produce and examine huge information methodically. Effective administration, examination, and understanding of large information can change the game by opening new roads for present day human services. That is exactly why different ventures, including the human services industry, are finding a way to change over this potential into better administrations and budgetary focal points. With a protected mix of biomedical and social insurance information, present day human services associations can upset the clinical treatments and customized medication.

Big data analytics for 6G enabled massive Internet of Things

2021 ◽  
pp. 1-1
Author(s):  
Zhihan Lv ◽  
Ranran Lou ◽  
Jinhua Li ◽  
Amit Kumar Singh ◽  
Houbing Song
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Data Analytics ◽  
Big Data Analytics

scholarly journals The Prospect of Internet of Things and Big Data Analytics in Transportation System

2018 ◽  
Vol 1018 ◽  
pp. 012013 ◽  
Author(s):  
Waleed Noori Hussein ◽  
L.M. Kamarudin ◽  
Haider N. Hussain ◽  
A. Zakaria ◽  
R Badlishah Ahmed ◽  
...  
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Transportation System

RELATIONSHIP IN IOT AND BIG DATA ANALYTICS: THE OPPORTUNITIES AND OPEN CHALLENGES

2021 ◽  
Vol 83 (4) ◽  
pp. 100-111
Author(s):  
Ahmad Anwar Zainuddin ◽  
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Physical World ◽  
Future Directions ◽  
Wide Range ◽  
Time Utilization ◽  
Relationship Of ◽  
The Internet Of Things

Internet of Things (IoT) is an up-and-coming technology that has a wide variety of applications. It empowers physical objects to be organized in a specialized framework to grow its convenience in terms of ease and time utilization. It is to convert the thought of bridging the crevice between the physical world and the machine world. It is also being use in the wide range of the technology in this current situation. One of its applications is to monitor and store data over time from numerous devices allows for easy analysis of the dataset. This analysis can then be the basis of decisions made on the same. In this study, the concept, architecture, and relationship of IoT and Big Data are described. Next, several use cases in IoT and big data in the research methodology are studied. The opportunities and open challenges which including the future directions are described. Furthermore, by proposing a new architecture for big data analytics in the Internet of Things, this paper adds value. Overall, the various types of big IoT data analytics, their methods, and associated big data mining technologies are discussed.

scholarly journals IMPLEMENTASI SOCIETY 5.0 DALAM KEBIJAKAN DAN STRATEGI PENDIDIKAN PADA PANDEMI COVID-19

2022 ◽  
Vol 2 (1) ◽  
pp. 34-43
Author(s):  
ADITYA ZULMI RAHMAWAN ◽  
ZAENURIYAH EFFENDI
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Learning Process ◽  
Research Method ◽  
Social Sector ◽  
Scientific Journals ◽  
Artificial Intelligent ◽  
The Social ◽  
The Impact ◽  
The Internet Of Things

The COVID-19 pandemic poses problems in various sectors. The most vulnerable sector in this situation is the social sector, especially education. Problems such as the learning process make the continuity of education a concern. This is a challenge for the community in the era of society 5.0 in the hope of overcoming the problems that arise due to the Covid-19 pandemic. The use of big data, artificial intelligence, and the internet of things is an alternative effort to help deal with the impact of the pandemic in accordance with the conditions in this disruptive era. This study aims to determine the policies and strategies of society 5.0 in the learning process as an effort to handle the impact of the pandemic. This study uses a systematic review research method of literature published by scientific journals in the period January 2010 to December 2021. The data used comes from published journals related to the topics studied and from various electronic media. The results of the study can find out strategies in the learning process in the implementation of society 5.0 in policies in the field of education as an effort to deal with the impact of the covid-19 pandemic. ABSTRAKPandemi covid-19 memberikan permasalahan di berbagai sektor. Sektor yang paling rentan dalam situasi ini adalah sektor sosial terutama pada pendidikan. Permasalahan seperti proses pembelajaran membuat keberlangsungan pendidikan menuai kekhawatiran. Hal ini menjadi sebuah tantangan bagi masyarakat di era society 5.0 dengan harapan dapat mengatasi permasalahan yang timbul akibat pandemi Covid-19. Pemanfaatan big data, artificial intelligent, dan internet of things menjadi upaya alternatif dalam membantu menangani dampak pandemi yang sesuai dengan keadaan di era disruptif ini. Penelitian ini bertujuan untuk mengetahui kebijakan dan strategi society 5.0 dalam proses pembelajaran sebagai upaya penanganan dampak pandemi. Penelitian ini menggunakan metode penelitian tinjauan sistematis terhadap literatur yang diterbitkan oleh jurnal ilmiah pada periode Januari tahun 2010 hingga Desember 2021. Sumber yang digunakan berasal dari jurnal-jurnal yang sudah dipublikasikan terkait dengan topik yang dikaji dan dari berbagai media elektronik. Hasil penelitian dapat mengetahui strategi dalam proses pembelajaran dalam implementasi society 5.0 pada kebijakan di bidang pendidikan sebagai upaya menghadapi dampak pandemi covid-19.

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