Autonomic Identity Framework for the Internet of Things
Title | Autonomic Identity Framework for the Internet of Things |
Publication Type | Conference Paper |
Year of Publication | 2017 |
Authors | Zhu, X., Badr, Y., Pacheco, J., Hariri, S. |
Conference Name | 2017 International Conference on Cloud and Autonomic Computing (ICCAC) |
Date Published | Sept. 2017 |
Publisher | IEEE |
ISBN Number | 978-1-5386-1939-1 |
Keywords | advanced information services, airplanes, authorisation, Autonomic computing, autonomic identity framework, Autonomic Security, blockchain, current centralized identity management systems, cyber-security, data privacy, digital identity concept, digital signatures, discrete wavelet transforms, domestic appliances, electrical grids, exponential number, gas plants, heterogeneity, Home appliances, Identity management, identity self-management, interconnected devices, Internet, Internet of Things, intrinsic digital properties, IoT entity, IoT smart homes, IoT unconventional characteristics, low level identities, Metrics, mobile devices, Mobility, Monitoring, Object recognition, party identity providers, pubcrawl, Resiliency, Scalability, security, security mechanisms, security of data, Self-Discovery, Smart buildings, smart home, Smart homes |
Abstract | The Internet of Things (IoT) will connect not only computers and mobile devices, but it will also interconnect smart buildings, houses, and cities, as well as electrical grids, gas plants, and water networks, automobiles, airplanes, etc. IoT will lead to the development of a wide range of advanced information services that are pervasive, cost-effective, and can be accessed from anywhere and at any time. However, due to the exponential number of interconnected devices, cyber-security in the IoT is a major challenge. It heavily relies on the digital identity concept to build security mechanisms such as authentication and authorization. Current centralized identity management systems are built around third party identity providers, which raise privacy concerns and present a single point of failure. In addition, IoT unconventional characteristics such as scalability, heterogeneity and mobility require new identity management systems to operate in distributed and trustless environments, and uniquely identify a particular device based on its intrinsic digital properties and its relation to its human owner. In order to deal with these challenges, we present a Blockchain-based Identity Framework for IoT (BIFIT). We show how to apply our BIFIT to IoT smart homes to achieve identity self-management by end users. In the context of smart home, the framework autonomously extracts appliances signatures and creates blockchain-based identifies for their appliance owners. It also correlates appliances signatures (low level identities) and owners identifies in order to use them in authentication credentials and to make sure that any IoT entity is behaving normally. |
URL | https://ieeexplore.ieee.org/document/8064055 |
DOI | 10.1109/ICCAC.2017.14 |
Citation Key | zhu_autonomic_2017 |
- party identity providers
- Internet of Things
- intrinsic digital properties
- IoT entity
- IoT smart homes
- IoT unconventional characteristics
- low level identities
- Metrics
- mobile devices
- Mobility
- Monitoring
- Object recognition
- internet
- pubcrawl
- Resiliency
- Scalability
- security
- security mechanisms
- security of data
- Self-Discovery
- smart buildings
- Smart Home
- Smart homes
- digital signatures
- airplanes
- authorisation
- Autonomic computing
- autonomic identity framework
- Autonomic Security
- blockchain
- current centralized identity management systems
- Cyber-security
- data privacy
- digital identity concept
- advanced information services
- discrete wavelet transforms
- domestic appliances
- electrical grids
- exponential number
- gas plants
- heterogeneity
- Home appliances
- Identity management
- identity self-management
- interconnected devices