Learned by 505 usersPublished on 2024.03.29 Last updated on 2024.04.19
Tokens
What is ITC?
Based on the internet, traditional telecommunication network and other information carriers, IoT (Internet of Things) is the network that enables interconnection between all ordinary physical objects which can be addressed independently. IoT has three key features, including the equalization of ordinary objects, the interconnection of automatic management terminals and intellectualization of pervasive services. Through IoT, all the things can be connected to the internet for information exchange and communication to realize intellectualized recognition, location, tracking, monitoring, and managing.
Security
ITC is designed to solve the severe safety problems of present IoT. ITC applies a combination of asymmetric encryption of cryptography, semi-homomorphic-encryption ciphertext computing technology, and distributed architecture without the data center. Therefore, ITC can not only protect the users' devices from being attacked by hackers, ensuring its controlling right safety; but also defend users and their devices' data safety sovereignty and private security. For example, the data of the intelligent device, such as the camera, can only be checked by users themselves.
Efficient
The architecture of ITC can well satisfy the high-concurrency environment of IoT where everything is interconnected with each other. The main chain has adopted PBFT consensus strategy. Through a combination of the point-to-point communication network of DAG subnet and simple verification technology of Merkel data structure, the main net can meet the requirement of hundreds of thousands of concurrency. Because of the distributed DAG subnet, the whole network can achieve better concurrency.
Shareable
Under the circumstance of big-data revolution overwhelming commercial industry, ITC first puts forward the idea that data sovereignty belongs to the users and provide technical protection for this. Non-circular data is valueless. ITC has applied zero-knowledge proof, BloomFilter, Hyperloglog and other probabilistic models to provide data-analysis access to smart contracts. In this way, the companies can submit smart contract to use the users' data for machine learning and pay tokens for the users according to their data contribution.
Note: The project introduction comes from the materials published or provided by the official project team, which is for reference only and does not constitute investment advice. Some of the content may be out of date, error, or omission. HTX does not take responsibility for any resulting direct or indirect losses.
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