Digital Identity Management in Cloud

2015 ◽  
pp. 1660-1685
Author(s):  
Vladimir Vujin ◽  
Konstantin Simić ◽  
Borko Kovačević

Existing approaches for management of digital identities within e-learning ecosystems imply defining different access parameters for each service or application. However, this can reduce system security and lead to insufficient usage of the services by end-users. This chapter investigates various approaches for identity management, particulary in a cloud computing environment. Several complex issues are discussed, such as cross-domain authentication, provisioning, multi-tenancy, delegation, and security. The main goal of the research is to provide a highly effective, scalable identity management for end-users in an educational private cloud. A federated identity concept was introduced as a solution that enables organizations to implement secure identity management and to share information on the identities of users in the cloud environment. As a proof of concept, the identity management system was implemented in the e-learning system of Faculty of Organizational Sciences, University of Belgrade.

Author(s):  
Vladimir Vujin ◽  
Konstantin Simić ◽  
Borko Kovačević

Existing approaches for management of digital identities within e-learning ecosystems imply defining different access parameters for each service or application. However, this can reduce system security and lead to insufficient usage of the services by end-users. This chapter investigates various approaches for identity management, particulary in a cloud computing environment. Several complex issues are discussed, such as cross-domain authentication, provisioning, multi-tenancy, delegation, and security. The main goal of the research is to provide a highly effective, scalable identity management for end-users in an educational private cloud. A federated identity concept was introduced as a solution that enables organizations to implement secure identity management and to share information on the identities of users in the cloud environment. As a proof of concept, the identity management system was implemented in the e-learning system of Faculty of Organizational Sciences, University of Belgrade.


2021 ◽  
Vol 13 (03) ◽  
pp. 43-59
Author(s):  
Maha Aldosary ◽  
Norah Alqahtani

An efficient identity management system has become one of the fundamental requirements for ensuring safe, secure, and transparent use of identifiable information and attributes. Federated Identity Management (FIdM) allows users to distribute their identity information across security domains which increases the portability of their digital identities, and it is considered a promising approach to facilitate secure resource sharing among collaborating participants in heterogeneous IT environments. However, it also raises new architectural challenges and significant security and privacy issues that need to be mitigated. In this paper, we provide a comparison between FIdM architectures, presented the limitations and risks in FIdM system, and discuss the results and proposed solutions.


2021 ◽  
Author(s):  
Maha Aldosary ◽  
Norah Alqahtani

Efficient identity management system has become one of the fundamental requirements for ensuring safe, secure, and transparent use of identifiable information and attributes. FIdM allows users to distribute their identity information across security domains which increase the portability of their digital identities. However, it also raises new architectural challenges and significant security and privacy issues that need to be mitigated. In this paper, we presented the limitations and risks in Federated Identity Management system and discuss the results and proposed solutions.


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.


2016 ◽  
Vol 7 (1) ◽  
pp. 77-84
Author(s):  
Rasmeh Al-Huneiti ◽  
Ziad Hunaiti ◽  
Sultan Al-Masaeed ◽  
Wamadeva Balachandran ◽  
Ebrahim Mansour

Many studies and authors' own studies suggest that e-learning system is the solution that will establish an educational framework for e-health implementation. Therefore, it is essential in order to achieve success, to assess and evaluate the attitude of the nursing community - who are the end users - towards the possibility of implementing the 'E-learning system' as a solution to educate the nursing community. In this research, a survey captured 52 nurses' attitudes towards an on line e-learning website and showed that nurses have positive attitude.


Author(s):  
Manoj V. Thomas ◽  
K. Chandrasekaran

Nowadays, the issue of identity and access management (IAM) has become an important research topic in cloud computing. In the distributed computing environments like cloud computing, effective authentication and authorization are essential to make sure that unauthorized users do not access the resources, thereby ensuring the confidentiality, integrity, and availability of information hosted in the cloud environment. In this chapter, the authors discuss the issue of identity and access management in cloud computing, analyzing the work carried out by others in the area. Also, various issues in the current IAM scenario in cloud computing, such as authentication, authorization, access control models, identity life cycle management, cloud identity-as-a-service, federated identity management and also, the identity and access management in the inter-cloud environment are discussed. The authors conclude this chapter discussing a few research issues in the area of identity and access management in the cloud and inter-cloud environments.


Author(s):  
Mohammad Zubair ◽  
Devrim Unal ◽  
Abdulla Al-Ali ◽  
Thomas Reimann ◽  
Guillaume Alinier

Background: IoMT (Internet of Medical Things) devices (often referred to IoMT domain) have the potential to quickly diagnose and monitor patients outside the hospital by transmitting information through the cloud domain using wireless communication to remotely located medical professionals (user domain). shows the proposed IoMT framework designed to improve the privacy and security of the healthcare infrastructure. Methods: The framework consists of four modules: 1. Intrusion Detection System (IDS) using deep learning (DL) to identify bluetooth-based Denial-of-Service (DoS)-attacks on IoMT devices and is deployed on edge-computing to secure communication between IoMT and edge. 2. IDS is backed up with identity-based cryptography to encrypt the data and communication path. 3. Besides the identity-management system (to authenticate users), it is modeled with aliveness detection using face authentication techniques at the edge to guarantee the confidentiality, integrity, and availability (CIA) of the framework. 4. At the cloud level, another IDS using MUSE (Merged-Hierarchical-Deep-Learning-System-with-Layer-Reuse) is proposed to protect the system against Man-In-The-Middle attacks, while the data is transferred between IoMT-EDGE-CLOUD. Results: These four modules are developed independently by precisely analyzing dependencies. The performance of IDS in terms of precision is 99% and for the identity-management system, the time required to encrypt and decrypt 256-bit key is 66 milliseconds and 220 milliseconds respectively. The true positive rate is 90.1%, which suggests real-time detection and authentication rate. IDS (2) using MUSE (12-layer) the accuracy is >95%, and it consumes 15.7% to 27.63% less time to train than the smaller four-layer model. Conclusion: Our designed models suit edge devices and cloud-based cybersecurity systems and support the fast diagnosis and care required by critically ill patients in the community.


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