scholarly journals Cyber security for Medical Devices Using Block chain

2019 ◽  
Vol 9 (4) ◽  
Author(s):  
Dr. Karen C. Benson ◽  
Dr. Lorraine Jonassen ◽  
Dr. Binh Tran
Keyword(s):  
Medical Devices ◽  
Cyber Security ◽  
Block Chain

scholarly journals CYBER SECURITY AND PRIVACY INTERNAL ATTACKS MEASUREMENTS THROUGH BLOCK CHAIN

2021 ◽  
Vol 9 (1) ◽  
pp. 1033-1044
Author(s):  
Dr. K. SAI MANOJ, Dr. P. S. AITHAL
Keyword(s):  
Real Time ◽  
Cyber Security ◽  
Data Security ◽  
Critical Role ◽  
Security And Privacy ◽  
New Technique ◽  
Efficient Manner ◽  
Unauthorized Access ◽  
Block Chain ◽  
Security Concern

Cyber Security plays critical role in privacy and now a day’s its assumesanimportanttask in the field of data security. Security concern Block chain gives best fruitful results to overcome unauthorized access and internal counter attacks operations| we propose new technique to reduce and identify internal privacy leaks and attack to measure with efficient manner. These technique very useful to cyber internal avoid attacks with accountability way and real-time environment operations. 

scholarly journals Design of Hack-Resistant Diabetes Devices and Disclosure of Their Cyber Safety

2016 ◽  
Vol 11 (2) ◽  
pp. 198-202 ◽  
Author(s):  
Jonathan Sackner-Bernstein
Keyword(s):  
Risk Assessment ◽  
Operating Systems ◽  
Medical Devices ◽  
Cyber Security ◽  
State Of The Art ◽  
Security Testing ◽  
Cyber Safety ◽  
Regulatory Bodies ◽  
Recognition And Response ◽  
Inform Decision Making

Background: The focus of the medical device industry and regulatory bodies on cyber security parallels that in other industries, primarily on risk assessment and user education as well as the recognition and response to infiltration. However, transparency of the safety of marketed devices is lacking and developers are not embracing optimal design practices with new devices. Achieving cyber safe diabetes devices: To improve understanding of cyber safety by clinicians and patients, and inform decision making on use practices of medical devices requires disclosure by device manufacturers of the results of their cyber security testing. Furthermore, developers should immediately shift their design processes to deliver better cyber safety, exemplified by use of state of the art encryption, secure operating systems, and memory protections from malware.

A review on investigating the role of block-chain in cyber security

2021 ◽  
Author(s):  
Bharat Kumar Aggarwal ◽  
Ankur Gupta ◽  
Deepak Goyal ◽  
Pankaj Gupta ◽  
Bijender Bansal ◽  
...  
Keyword(s):  
Cyber Security ◽  
Block Chain

Death by Hacking

2019 ◽  
pp. 1500-1516 ◽  
Author(s):  
Penelope Wang
Keyword(s):  
Medical Devices ◽  
Cyber Security ◽  
Critical Infrastructure ◽  
Power Grids ◽  
The Internet ◽  
Physical Injury ◽  
Traffic Light ◽  
Insulin Pumps ◽  
Cyber Threat

Innovation and technological advancements have seen many devices and systems being linked up on to the Internet. Such devices and systems include personal medical devices like insulin pumps and pacemakers, cars, as well as critical infrastructure like power grids and traffic light systems. However, recent research by cyber security experts has revealed that these critical devices and systems are highly vulnerable to being hacked into and manipulated. Should such an attack be carried out successfully by bad actors, like violent extremists, this could result in physical injury or even death. Hence, this chapter aims to bring awareness on the kinetic cyber threat by highlighting various forms of kinetic cyber, and the vulnerabilities that make these devices and systems susceptible. In addition, this chapter introduces the motivations and characteristics of violent extremists who might engage in kinetic cyber, and ends off by proposing some recommended directions to counter this threat.

Cyber Security in Health

2020 ◽  
pp. 313-329 ◽  
Author(s):  
Bruno J. Santos ◽  
Rachel P. Tabacow ◽  
Marcelo Barboza ◽  
Tarcisio F. Leão ◽  
Eduardo G. P. Bock
Keyword(s):  
Medical Devices ◽  
Virtual Worlds ◽  
Cyber Security ◽  
New Technology ◽  
Physical World ◽  
Artificial Organs ◽  
Healthcare Organizations ◽  
Digital Era ◽  
Iot Devices ◽  
Security Incidents

Cyber security in Healthcare is a growing concern. Since it has been a proliferation of IoT devices, data breaches from the healthcare industry are increasing the concern about how cyber security can protect data from connected medical devices. Recent years have seen numerous hacking and IT security incidents. Many healthcare organizations are facing problems to defend their networks from cybercriminals. In the current digital era, the physical world has a cyber-representation. Both the real and virtual worlds are connected in areas, such as informatics and manufacturing. Health 4.0 (H4.0) refers to a group of initiatives aiming to improve medical care for patients, hospitals, researchers, and medical device suppliers. Increasing collaboration in terms of medical equipment, artificial organs, and biosensors is a way to facilitate H4.0. As a result, cyber security budgets have increased, new technology has been purchased, and healthcare organizations are improving at blocking attacks and keeping their networks secure.

scholarly journals Integration of 5G and Block-Chain Technologies in Smart Telemedicine Using IoT

2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Kashif Hameed ◽  
Imran Sarwar Bajwa ◽  
Nadeem Sarwar ◽  
Waheed Anwar ◽  
Zaigham Mushtaq ◽  
...  
Keyword(s):  
Neural Network ◽  
Medical Devices ◽  
Transmission Rate ◽  
Clinical Trial Data ◽  
Clinical Decision ◽  
Information Storage ◽  
Severity Level ◽  
Mobile Health Applications ◽  
Block Chain ◽  
Trained Neural Network

The Internet of Health Thing (IoHT) has various applications in healthcare. Modern IoHTintegrates health-related things like sensors and remotely observed medical devices for the assessment and managment of a patient's record to provide smarter and efficient health diagnostics to the patient. In this paper, we proposed an IoT with a cloud-based clinical decision support system for prediction and observation of disease with its severity level with the integration of 5G services and block-chain technologies. A block-chain is a system for storing and sharing information that is secure because of its transparency. Block-chain has many applications in healthcare and can improve mobile health applications, monitoring devices, sharing and storing of the electronic media records, clinical trial data, and insurance information storage. The proposed framework will collect the data of patients through medical devices that will be attached to the patient, and these data will be stored in a cloud server with relevant medical records. Deployment of Block-chain and 5G technology allows for sending patient data securely at a fast transmission rate with efficient response time. Furthermore, a Neural Network (NN) classifier is used for the prediction of diseases and their severity level. The proposed model is validated by employing different classifiers. The performance of different classifiers is measured by comparing the values to select the classifier that is the best for the dataset. The NN classifier attains an accuracy of 98.98. Furthermore, the NN is trained for the dataset so that it can predict the result of the dataset class that is not labeled. The trained Neural Network predicts and intelligently shows the results with more accuracy than other classifiers.

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