scholarly journals Object Classification based Context Management for Identity Management in Internet of Things

2013 ◽  
Vol 63 (12) ◽  
pp. 1-6 ◽  
Author(s):  
Parikshit N.Mahalle ◽  
Neeli Rashmi Prasad ◽  
Ramjee Prasad
Keyword(s):  
Internet Of Things ◽  
Identity Management ◽  
Object Classification ◽  
Context Management

scholarly journals Internet of Things for Mental Health: Open Issues in Data Acquisition, Self-Organization, Service Level Agreement, and Identity Management

2021 ◽  
Vol 18 (3) ◽  
pp. 1327
Author(s):  
Leonardo J. Gutierrez ◽  
Kashif Rabbani ◽  
Oluwashina Joseph Ajayi ◽  
Samson Kahsay Gebresilassie ◽  
Joseph Rafferty ◽  
...  
Keyword(s):  
Mental Health ◽  
Internet Of Things ◽  
Data Acquisition ◽  
Identity Management ◽  
Service Level Agreement ◽  
Service Level ◽  
Self Organization ◽  
Future Research ◽  
Study Results ◽  
Open Issues

The increase of mental illness cases around the world can be described as an urgent and serious global health threat. Around 500 million people suffer from mental disorders, among which depression, schizophrenia, and dementia are the most prevalent. Revolutionary technological paradigms such as the Internet of Things (IoT) provide us with new capabilities to detect, assess, and care for patients early. This paper comprehensively survey works done at the intersection between IoT and mental health disorders. We evaluate multiple computational platforms, methods and devices, as well as study results and potential open issues for the effective use of IoT systems in mental health. We particularly elaborate on relevant open challenges in the use of existing IoT solutions for mental health care, which can be relevant given the potential impairments in some mental health patients such as data acquisition issues, lack of self-organization of devices and service level agreement, and security, privacy and consent issues, among others. We aim at opening the conversation for future research in this rather emerging area by outlining possible new paths based on the results and conclusions of this work.

scholarly journals Trust Assessment in Internet of Things Using Blockchain and Machine Learning

2020 ◽  
Author(s):  
Liming Wang ◽  
Hongqin Zhu ◽  
Jiawei Sun ◽  
Ran Dai ◽  
Qi Ma ◽  
...  
Keyword(s):  
Machine Learning ◽  
Internet Of Things ◽  
Trust Management ◽  
Identity Management ◽  
Edge Computing ◽  
Management Model ◽  
Learning Methods ◽  
Transaction Model ◽  
Machine Learning Methods ◽  
Iot Devices

Abstract Since IoT devices are strengthened, edge computing with multi-center cooperation becomes a trend. Considering that edge nodes may belong to different center, they have different trust management model, it’s hard to assess trust among edge nodes. In this paper, we take blockchain to coordinate differences among centers, construct a trust environment for transactions in IoT. In detail, we propose a blockchain based identity management for IoT to ensure identity is credible, then design a transaction model to provide certification for IoT transactions. And, we take machine learning methods to analyze IoT transaction log, thus decide trust nodes or not. Experiment results show that our mechanism could effectively identify trustworthy edges in IoT.

Composite Identity of Things (CIDoT) on Permissioned Blockchain Network for Identity Management of IoT Devices

2021 ◽  
pp. 59-80
Author(s):  
Anang Hudaya Muhamad Amin ◽  
Fred N. Kiwanuka ◽  
Nabih T. J. Abdelmajid ◽  
Saif Hamad AlKaabi ◽  
Sultan Khalid Abdulqader Rashed Ahli
Keyword(s):  
Energy Efficiency ◽  
Internet Of Things ◽  
Complex Systems ◽  
Identity Management ◽  
Autonomous Systems ◽  
Green Technology ◽  
Comprehensive Approach ◽  
Device Identification ◽  
Sensory Data ◽  
Iot Devices

Internet of things (IoT) is in the forefront of many existing smart applications, including autonomous systems and green technology. IoT devices have been commonly used in the monitoring of energy efficiency and process automation. As the application spreads across different kinds of applications and technology, a large number of IoT devices need to be managed and configured, as they are capable of generating massive amount of sensory data. Looking from this perspective, there is a need for a proper mechanism to identify each IoT devices within the system and their respective applications. Participation of these IoT devices in complex systems requires a tamper-proof identity to be generated and stored for the purpose of device identification and verification. This chapter presents a comprehensive approach on identity management of IoT devices using a composite identity of things (CIDoT) with permissioned blockchain implementation. The proposed approach described in this chapter takes into account both physical and logical domains in generating the composite identity.

INCOME – Multi-scale Context Management for the Internet of Things

2012 ◽  
pp. 338-347 ◽  
Author(s):  
Jean-Paul Arcangeli ◽  
Amel Bouzeghoub ◽  
Valérie Camps ◽  
Marie-Françoise Canut ◽  
Sophie Chabridon ◽  
...  
Keyword(s):  
Internet Of Things ◽  
The Internet ◽  
Context Management ◽  
Multi Scale ◽  
The Internet Of Things

scholarly journals A survey on addressing privacy together with quality of context for context management in the Internet of Things

2013 ◽  
Vol 69 (1-2) ◽  
pp. 47-62 ◽  
Author(s):  
Sophie Chabridon ◽  
Romain Laborde ◽  
Thierry Desprats ◽  
Arnaud Oglaza ◽  
Pierrick Marie ◽  
...  
Keyword(s):  
Internet Of Things ◽  
The Internet ◽  
Context Management ◽  
Quality Of Context ◽  
The Internet Of Things
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