ETIS -- Efficient Trust and Identity Management System for Federated Service Providers

2013 ◽  
Author(s):  
M. V. Bhonsle ◽  
N. Poolsappasit ◽  
S. K. Madria
Keyword(s):  
Management System ◽  
Identity Management ◽  
Service Providers ◽  
Identity Management System

Identity Management Systems

2018 ◽  
Vol 9 (1) ◽  
pp. 63-78 ◽  
Author(s):  
Vikas Kumar ◽  
Aashish Bhardwaj
Keyword(s):  
Access Control ◽  
Management System ◽  
Identity Management ◽  
Service Providers ◽  
Management Systems ◽  
Role Based Access Control ◽  
Central Administration ◽  
Digital World ◽  
Identity Management Systems ◽  
Identity Management System

This article describes how in today's digital world, customers have made it a common practice to maintain user accounts with different service providers to access a range of services. In such environment, all attributes of the identity must be verified to operate, otherwise the resources would be vulnerable to financial and data loss. This article contends that makes it important to form an Identity Management System, which could provide central administration, user self- service, role based access control and integrated user management. Identity Management becomes very much vital for the environment working with multiple technologies, as it governs an entity (i.e. a human or a software agent) to authenticate and authorize for accessing the network via multiple technologies. Successful Identity Management increases the efficiency, security, access control and decreases the complexity, cost and many repetitive works. Essential features of present day identity management systems have been identified in the present work. A comparative analysis of these identity management systems has been carried out to establish the present-day industry practices. Along with that, specific challenges to the present-day identity management systems have been identified. The article helps in the identification of suitable Identity Management System for specific applications.

scholarly journals Health-ID: A Blockchain-Based Decentralized Identity Management for Remote Healthcare

Healthcare ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 712
Author(s):  
Ibrahim Tariq Javed ◽  
Fares Alharbi ◽  
Badr Bellaj ◽  
Tiziana Margaria ◽  
Noel Crespi ◽  
...  
Keyword(s):  
Management System ◽  
Identity Management ◽  
Service Providers ◽  
Healthcare Providers ◽  
Security And Privacy ◽  
Propagation Time ◽  
Block Time ◽  
Remote Healthcare ◽  
Identity Management System ◽  
Ehealth Service

COVID-19 has made eHealth an imperative. The pandemic has been a true catalyst for remote eHealth solutions such as teleHealth. Telehealth facilitates care, diagnoses, and treatment remotely, making them more efficient, accessible, and economical. However, they have a centralized identity management system that restricts the interoperability of patient and healthcare provider identification. Thus, creating silos of users that are unable to authenticate themselves beyond their eHealth application’s domain. Furthermore, the consumers of remote eHealth applications are forced to trust their service providers completely. They cannot check whether their eHealth service providers adhere to the regulations to ensure the security and privacy of their identity information. Therefore, we present a blockchain-based decentralized identity management system that allows patients and healthcare providers to identify and authenticate themselves transparently and securely across different eHealth domains. Patients and healthcare providers are uniquely identified by their health identifiers (healthIDs). The identity attributes are attested by a healthcare regulator, indexed on the blockchain, and stored by the identity owner. We implemented smart contracts on an Ethereum consortium blockchain to facilities identification and authentication procedures. We further analyze the performance using different metrics, including transaction gas cost, transaction per second, number of blocks lost, and block propagation time. Parameters including block-time, gas-limit, and sealers are adjusted to achieve the optimal performance of our consortium blockchain.

scholarly journals Identity Management System Model in the Internet of Things

TEM Journal ◽  
2020 ◽  
pp. 1338-1347
Author(s):  
Belkacem Athamena ◽  
Zina Houhamdi
Keyword(s):  
Management System ◽  
Identity Management ◽  
User Requirements ◽  
Sequence Diagrams ◽  
Modelling Language ◽  
Unified Modelling Language ◽  
Defining System ◽  
Identity Management System ◽  
System Requirements ◽  
The Internet Of Things

This paper describes the identity management system (IdMS) by defining system and user requirements. Additionally, it introduces the IdMS concept that approaches the things identity management. Moreover, the paper deeply describes the IdMS features using unified modelling language (UML) diagrams such as class, system, and sequence diagrams to show the main system functionalities. Ultimately, the suggested system is evaluated by comparing it with the existing systems and discussing the fulfilment of user and system requirements.

Novel identity management system using smart blockchain technology

2021 ◽  
Author(s):  
A. Shobanadevi ◽  
Sumegh Tharewal ◽  
Mukesh Soni ◽  
D. Dinesh Kumar ◽  
Ihtiram Raza Khan ◽  
...  
Keyword(s):  
Management System ◽  
Identity Management ◽  
Blockchain Technology ◽  
Identity Management System

An Examination of Identity Management Models in an Internet Setting

2011 ◽  
pp. 106-114
Author(s):  
Kenneth J. Giuliani ◽  
V. Kumar Murty
Keyword(s):  
Management System ◽  
Identity Management ◽  
Management Models ◽  
Identity Management System ◽  
Digital Identities

The purpose of this chapter is to examine the strengths and weaknesses of the most commonly used model for digital identities. It is compared to other models which have preceded it, thus giving a background on its development. The models are measured against a set of criteria which it is desirable for an identity management system to have. The underlying hope is that understanding this model will help improve it or even lead to a different model.

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