Abstract
As the development of IoT technologies has progressed rapidly recently, most IoT data are focused on monitoring and control to process IoT data, but the cost of collecting and linking various IoT data increases, requiring the ability to proactively integrate and analyze collected IoT data so that cloud servers (data centers) can process smartly. In this paper, we propose a blockchain-based IoT big data integrity verification technique to ensure the safety of the Third Party Auditor (TPA), which has a role in auditing the integrity of AIoT data. The proposed technique aims to minimize IoT information loss by multiple blockchain groupings of information and signature keys from IoT devices. The proposed technique allows IoT information to be effectively guaranteed the integrity of AIoT data by linking hash values designated as arbitrary, constant-size blocks with previous blocks in hierarchical chains. The proposed technique performs synchronization using location information between the central server and IoT devices to manage the cost of the integrity of IoT information at low cost. In order to easily control a large number of locations of IoT devices, we perform cross-distributed and blockchain linkage processing under constant rules to improve the load and throughput generated by IoT devices.
Highlights
The growing interest in the Fourth Industry Revolution and AI (ArtificialIntelligence) has led to the need for Artificial Intelligence of Things (AIoT) in a variety of smart environments such as commercial surveillance, autonomous driving, and robots [1].the computing resources of AIoT devices do not meet the requirements for model prediction accuracy and real-time responses
We propose a blockchain-based IoT big data integrity verification technique optimized for AIoT edge computing environments
As IoT technology has recently been used in various fields, it has brought about many social changes and developments through IoT technology in cloud environments
Summary
The growing interest in the Fourth Industry Revolution and AI (Artificial. Intelligence) has led to the need for Artificial Intelligence of Things (AIoT) in a variety of smart environments such as commercial surveillance, autonomous driving, and robots [1]. Applications related to IoT devices are exposed to serious security risks due to the lack of clear security measures in place compared to the rate at which IoT services evolve This shows that methods of protecting shared data between IoT devices are recognized as very important, as most IoT data are computationally exchanged between proposed devices in untrusted wireless environments. We propose a blockchain-based IoT big data integrity verification technique optimized for AIoT edge computing environments. The proposed technique minimizes IoT information loss by linking information and signature keys of heterogeneous IoT devices distributed in AIoT edge computing environments with blockchain-based multiple hashchains. The proposed technique minimizes the processing time of IoT devices requesting AIoT edge computing services because the layer-distributed.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
