With rapid development of computing technologies, large amount of data is gathered from various terminals or industrial devices, however data reliability and trust is a very important issue to be considered especially when fraud or dishonest data is integrated in the system, moreover, misusing of the gathered data may lead serious problems, upon this problem, in this paper, we proposed a blockchain-based trusted data management scheme (called BlockTDM) in edge computing, in which we proposed a flexible and configurable blockchain architecture that including mutual authentication protocol, flexible consensus and smart contract, block and transaction data management, blockchain nodes management and deployment. In the proposed BlockTDM scheme, we designed user-defined sensitive data encryption approach before the data stores in blockchain system, and we designed conditional access and decryption query of the protected blockchain data and transactions from blockchain system, and the BlockTDM can still support matrix-based multichannel data segment and isolation for detailed sensitive data protection or privacy protection. Finally, we evaluated the proposed BlockTDM scheme security, availability and efficiency with large amount of experiments. Analysis and evaluation manifest that the proposed BlockTDM provides a general, flexible and configurable blockchain-based paradigm for trusted and tamper-resistant data management, which is suitable for various application scenes with high level security and creditability.

With the fast development of IoT technologies, IoT big data and its applications are getting more and more useful, however, traditional IoT data management is fragile and vulnerable, once the gathered data is untrusted or the stored data is tampered deliberately from the internal users or attacked by external hacker, then the tampered data has serious problem to be utilized. To solve the problems of trust and security of IoT big data management, in this paper, we proposed a permissioned-blockchain-based decentralized trust management and secure usage control scheme of IoT big data(called BlockBDM), upon which all the data operations and management such as data gathering, invoking, transfer, storage and usage are processed over the blockchain smart contract. To encourage IoT client supplies high quality content, in our scheme we designed public-blockchain-based tokens reward mechanism for high quality data supply contribution. Al the data processing and usage procedure can be recorded in a cryptography-signed and merkle-tree-based transaction(s) and block(s) with high-level security in a global and distributed ledger with tamper-resistance. And for data utilization and consumption, we proposed secure usage control for digital rights management and token-based data consumption approach of high value data from being violated or spread without any limitation. We implemented the BlockBDM scheme based on public and permissioned blockchain for IoT big data management. Finally, large amount of evaluation manifested that the proposed BlockBDM scheme is feasible, secure and scalable for decentralized trust management of IoT big data.

Authentication is the first entrance to kinds of information systems; however, traditional centered single-side authentication is weak and fragile, which has security risk of single-side failure or breakdown caused by outside attacks or internal cheating. In the edge and IoT environment Cblockchain can apply edge devices to better serve the Internet of Things and provide decentralized high security service solutions. In this paper, we proposed a blockchain-based decentralized authentication modeling scheme (named BlockAuth) in edge and IoT environment to provide a more secure, reliable and strong fault tolerance novel solution, in which each edge device is regarded as a node to form a blockchain network. We designed secure registration and authentication strategy, blockchain-based decentralized authentication protocol, and developed the blockchain consensus, smart contract, and implemented a whole blockchain-based authentication platform for the feasibility, security and performance evaluation. The analysis and evaluation show that the proposed BlockAuth scheme provides a more secure, reliable and strong fault tolerance decentralized novel authentication with high-level security driven configuration management. The proposed BlockAuth scheme is suitable for password-based, certificate-based, biotechnology-based, and token-based authentication for high level security requirement system in Edge and IoT Environment.

The development of the Internet of Things (IoT) technology has achieved remarkable results in recent years. A large number of sensors and machinery are connected, and combined with the Internet, to achieve intelligent management and operation. However, the traditional centralized IoT data management solution inevitably encounters challenges of data trust, security, sustainability, and user privacy is difficult to guarantee. This paper takes the intelligent transportation sensor network as an example and proposes a blockchain-based Internet of Vehicles (IoV) data secure sharing scheme (called IoVChain), which implements automatic registration, rapid authentication, and reliable sharing method of IoV data through smart contract. The smart contract performs homomorphic encryption and zero-knowledge proof processing on the sensitive part of the data, and this part exists in the form of ciphertext on the blockchain. We adopt PBFT consensus mechanism to ensure the consistency of the entire network ledger, and all the IoV data processing and usage procedure is stored in the Merkle-tree-based block, which cannot be tampered with. Compared with the centralized IoV data management solution, the IoVChain scheme avoids the risk of single point of failure, and keeps the IoV data credible, available, and tamper-resistant under the premise of privacy and security, so that the data can be traced when needed. We have implemented the IoVChain scheme based on the consortium blockchain for trusted and secure sharing of IoV data. Finally, analysis and evaluation show that the proposed IoVChain scheme is feasible, safe, and extensible for the secure sharing of IoV data.

With the development of Internet technology, transmitting, editing and misusing the digital multimedia bring great challenges in misusing detection for multimedia content protection. In this paper we proposed an artwork image digital rights management scheme for Internet misusing detection based on watermark and blockchain with robustness and high-level security. We embed artwork right information such as author, RightHolder, Date and Location information into the artwork image data. In the scheme, we use image Arnold transform to enhance the security and use image DCT coefficients of middle frequency to embed watermark for robustness. In the transparence of watermark, HVS and Watson models are used to control the watermark strength, which can enhance the invisibility. Once the suspicious image data from Internet are misused and spreading the image data on Internet without authorization, especially the high value artwork image data, we can trace the misuse responsibility by extracting the watermark. And according to the above algorithm, we implemented the scheme as DRMChain based on the consortium blockchain which stored the artwork and DRM information in an un-tampered ledger for decentralized rights confirmation. Large amount of experiments indicate the proposed watermark-based trusted blockchain DRM scheme is secure, robust, and for the protection and misuse detection of image data.