International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 184 - Number 42 |
Year of Publication: 2023 |
Authors: Pranav Gangwani, Santosh Joshi, Himanshu Upadhyay, Leonel Lagos |
10.5120/ijca2023922529 |
Pranav Gangwani, Santosh Joshi, Himanshu Upadhyay, Leonel Lagos . IoT Device Identity Management and Blockchain for Security and Data Integrity. International Journal of Computer Applications. 184, 42 ( Jan 2023), 49-55. DOI=10.5120/ijca2023922529
Human-human or human-device communication has traditionally been the most prevalent kind of communication, however, the Internet of Things (IoT) promises to dramatically expand the Internet by enabling machine-machine (M2M) communication. The ever-increasing reliance on data to form the bases associated with decision-making processes requires data that can be trusted emanating from known devices. These devices often contain important and confidential data such as personal credentials, financial status, health data, and other private and sensitive data. Therefore, the integrity of these devices and associated data are imperative for further usage and processing. Moreover, due to the deployment and participation of a massive number of devices in the IoT ecosystem, management of identities and mitigating security vulnerabilities are two major challenges that must be addressed. The large majority of these devices are susceptible to breaches and malicious actions compromising the integrity of their data, therefore identity validation of these devices is crucial as it is a means to ensure whether data attained from these devices can be trusted. An innovative technology called blockchain has recently been developed to address several IoT security concerns and ensure the integrity of the data collected from these IoT devices. This paper proposes a technique for IoT identity management called PUF-based Device Identity Management (PUF-DIM) that employs Physical Unclonable Function (PUF) to perform device identity management to establish trust in the data associated with each device and a device's unique identifier. Moreover,a review of the major security problems with IoT and how blockchain plays a significant role in tackling those issues is discussed. Finally, a blockchain-based IoT data integrity technique is proposed for ensuring that IoT data is authentic and tamper-proof. The presented technique incorporates the consensus mechanism as well as the chain structure within the data integrity scheme for IoT.