scholarly journals BPDIMS:A Blockchain-based Personal Data and Identity Management System

Author(s):  
Benedict Faber ◽  
Georg Cappelen Michelet ◽  
Niklas Weidmann ◽  
Raghava Rao Mukkamala ◽  
Ravi Vatrapu
2019 ◽  
Vol 9 (15) ◽  
pp. 2953 ◽  
Author(s):  
Jamila Alsayed Kassem ◽  
Sarwar Sayeed ◽  
Hector Marco-Gisbert ◽  
Zeeshan Pervez ◽  
Keshav Dahal

Identity management (IdM) is a method used to determine user identities. The centralized aspect of IdM introduces a serious concern with the growing value of personal information, as well as with the General Data Protection Regulation (GDPR). The problem with currently-deployed systems and their dominating approach, with identity providers (IdP) and single-point services, is that a third party is in charge of maintaining and controlling the personal data. The main challenge to manage data securely lies in trusting humans and institutes who are responsible for controlling the entire activity. Identities are not owned by the rightful owners or the user him/herself, but by the mentioned providers. With the rise of blockchain technology, self-sovereign identities are in place utilizing decentralization; unfortunately, the flaws still exist. In this research, we propose DNS-IdM, a smart contract-based identity management system that enables users to maintain their identities associated with certain attributes, accomplishing the self-sovereign concept. DNS-IdM has promising outcomes in terms of security and privacy. Due to the decentralized nature, DNS-IdM is able to avoid not only the conventional security threats, but also the limitations of the current decentralized identity management systems.


TEM Journal ◽  
2020 ◽  
pp. 1338-1347
Author(s):  
Belkacem Athamena ◽  
Zina Houhamdi

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.


Author(s):  
A. Shobanadevi ◽  
Sumegh Tharewal ◽  
Mukesh Soni ◽  
D. Dinesh Kumar ◽  
Ihtiram Raza Khan ◽  
...  

Author(s):  
Kenneth J. Giuliani ◽  
V. Kumar Murty

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.


Author(s):  
Reema Bhatt ◽  
Manish Gupta ◽  
Raj Sharman

Identity management is the administration of an individual's access rights and privileges in the form of authentication and authorization within or across systems and organizations. An Identity Management system (IdM) helps manage an individual's credentials through the establishment, maintenance, and eventual destruction of their digital identity. Numerous products, applications, and platforms exist to address the privacy requirements of individuals and organizations. This chapter highlights the importance of IdM systems in the highly vulnerable security scenario that we live in. It defines and elaborates on the attributes and requirements of an effective identity management system. The chapter helps in establishing an understanding of frameworks that IdM systems follow while helping the reader contrast between different IdM architecture models. The latter part of this chapter elaborates on some of today's most popular IdM solutions.


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