Blockchain and artificial intelligence enabled privacy‐preserving medical data transmission in Internet of Things

2021 ◽  
Author(s):  
Omar A. Alzubi ◽  
Jafar A. Alzubi ◽  
K. Shankar ◽  
Deepak Gupta
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Data Transmission ◽  
Privacy Preserving ◽  
Medical Data

scholarly journals Efficient and Privacy-Preserving Medical Data Sharing in Internet of Things With Limited Computing Power

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 28019-28027 ◽  
Author(s):  
Dong Zheng ◽  
Axin Wu ◽  
Yinghui Zhang ◽  
Qinglan Zhao
Keyword(s):  
Internet Of Things ◽  
Data Sharing ◽  
Privacy Preserving ◽  
Medical Data ◽  
Computing Power

Idle Vehicle Detection and Traffic Symbol Analysis using Artificial Intelligence and IoT

2019 ◽  
Vol 1 (2) ◽  
pp. 73-78
Author(s):  
Arun Kumar K ◽  
Ashwin D ◽  
Surendar M ◽  
Manju Parkavi N ◽  
Banumathi P ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Control System ◽  
Internet Of Things ◽  
Data Transmission ◽  
Vehicle Detection ◽  
Complex Learning ◽  
Smart Vehicles ◽  
Comprehensive Survey ◽  
And Control ◽  
Modern Technologies

The emerging development in smart vehicles has improved transportation seamlessly. This paper deals with incorporating the modern technologies like Artificial Intelligence and Internet of Things(IoT) with the traditional transportation system. It states how AI algorithms can be integrated with IoT powered vehicles to manage and avoid crashing with idle vehicles on a speedway and assists for safer driving using the traffic symbol analysis to reduce accidents. Several communication standards for data transmission between the vehicle and control system has been stated. It also provides additional features like emergency or assistance for vehicles in speedway. It uses complex learning and analysis algorithms to improve the efficiency of driving and reduce rear-end collisions. This paper hence gives a comprehensive survey of the enabling technologies, protocols, and architecture for IoT powered transport.

scholarly journals Artificial Neural Network Blockchain Techniques for Healthcare System: Focusing on the Personal Health Records

Electronics ◽  
2020 ◽  
Vol 9 (5) ◽  
pp. 763
Author(s):  
Seong-Kyu Kim ◽  
Jun-Ho Huh
Keyword(s):  
Artificial Intelligence ◽  
Data Transmission ◽  
Industrial Revolution ◽  
Medical Data ◽  
Personal Health Records ◽  
Personal Health ◽  
Health Records ◽  
Fourth Industrial Revolution ◽  
The Future ◽  
And Performance

This paper seeks to use artificial intelligence blockchain algorithms to ensure safe verification of medical institution PHR data and accurate verification of medical data as existing vulnerabilities. Artificial intelligence has recently spread and has led to research on many technologies thanks to the Fourth Industrial Revolution. This is a very important factor in healthcare as well as the healthcare industry’s position. Likewise, blockchain is very safe to apply because it encrypts and verifies these medical data in case they are hacked or leaked. These technologies are considered very important. This study raises the problems of these artificial intelligence blockchains and recognizes blockchain, artificial intelligence, neural networks, healthcare, etc.; these problems clearly exist, so systems like EHR are not being used. In the future, ensuring privacy will be made easier when these EHRs are activated and data transmission and data verification between hospitals are completed. To overcome these shortcomings, we define an information security blockchain artificial intelligence framework and verify blockchain systems for accurate extraction, storage, and verification of data. In addition, various verification and performance evaluation indicators are set to obtain the TPS of medical data and for the implementation of standardization work in the future. This paper seeks to maximize the confidentiality of blockchain and the sensitivity and availability of artificial intelligence.

scholarly journals Data Transmission and Access Protection of Community Medical Internet of Things

2017 ◽  
Vol 2017 ◽  
pp. 1-14 ◽  
Author(s):  
Xunbao Wang ◽  
Fulong Chen ◽  
Heping Ye ◽  
Jie Yang ◽  
Junru Zhu ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Access Control ◽  
Data Protection ◽  
Data Transmission ◽  
High Performance ◽  
Medical Information ◽  
Medical Data ◽  
Medical Information System ◽  
Sensitive Information ◽  
Protection Scheme

On the basis of Internet of Things (IoT) technologies, Community Medical Internet of Things (CMIoT) is a new medical information system and generates massive multiple types of medical data which contain all kinds of user identity data, various types of medical data, and other sensitive information. To effectively protect users’ privacy, we propose a secure privacy data protection scheme including transmission protection and access control. For the uplink transmission data protection, bidirectional identity authentication and fragmented multipath data transmission are used, and for the downlink data protection, fine grained access control and dynamic authorization are used. Through theoretical analysis and experiment evaluation, it is proved that the community medical data can be effectively protected in the transmission and access process without high performance loss.

scholarly journals A Privacy-Preserving Data Transmission Scheme Based on Oblivious Transfer and Blockchain Technology in the Smart Healthcare

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Huijie Yang ◽  
Jian Shen ◽  
Junqing Lu ◽  
Tianqi Zhou ◽  
Xueya Xia ◽  
...  
Keyword(s):  
Healthcare System ◽  
Data Transmission ◽  
Privacy Preserving ◽  
Medical Data ◽  
The Internet ◽  
Communication Pattern ◽  
Transmission Scheme ◽  
Blockchain Technology ◽  
Smart Healthcare ◽  
The Internet Of Things

With the development of the Internet of Things and the demand for telemedicine, the smart healthcare system has attracted much attention in recent years. As a platform for medical data interaction, the smart healthcare system is demanded to ensure the privacy of both the receiver and the sender, as well as the security of data transmission. In this paper, we propose a privacy-preserving data transmission scheme where both secure ciphertext conversion and malicious users identification are supported. In particular, the OT m n protocol is introduced to guarantee the two-way privacy of communication parties. Meanwhile, we adopt proxy reencryption algorithm to support secure ciphertext conversion so as to ensure the confidentiality of data in many-to-many communication pattern. In addition, by taking advantage of the concept of blockchain technology, a novel OT m n protocol is proposed to prevent data from being tampered with and effectively identify malicious users. Theoretical and experimental analyses indicate that the proposed scheme is practical for smart healthcare with high security and efficiency.

Utilising internet of things and artificial intelligence to enable twin precision treatment for reversal of type 2 Diabetes

2020 ◽  
Author(s):  
Paramesh Shamanna ◽  
Suresh Damodharan ◽  
Banshi Saboo ◽  
Rajeev Chawla ◽  
Jahangir Mohammed ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Type 2 Diabetes ◽  
Internet Of Things

Innovative Marketing Strategies for Select E-Commerce Companies in India - A Review.

2018 ◽  
Vol 5 (1) ◽  
Author(s):  
Amit Kumar Bhanja ◽  
P.C Tripathy
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Business Environment ◽  
Marketing Strategies ◽  
Point Of View ◽  
Digital Marketing ◽  
Customer Base ◽  
Innovative Methods ◽  
Online Shoppers ◽  
Drastic Increase

Innovation is the key to opportunities and growth in today’s competitive and dynamic business environment. It not only nurtures but also provides companies with unique dimensions for constant reinvention of the existing way of performance which enables and facilitates them to reach out to their prospective customers more effectively. It has been estimated by Morgan Stanley that India would have 480 million shoppers buying products online by the year 2026, a drastic increase from 60 million online shoppers in the year 2016. E-commerce companies are aggressively implementing innovative methods of marketing their product offerings using tools like digital marketing, internet of things (IoT)and artificial intelligence to name a few. This paper focuses on outlining the innovative ways of marketing that the E-Commerce sector implements in orders to increase their customer base and aims at determining the future scope of this area. A conceptual comparative study of Amazon and Flipkart helps to determine which marketing strategies are more appealing and beneficial for both the customers and companies point of view.

Sign in / Sign up

Export Citation Format

Share Document