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This article introduces a blockchain framework to detect unauthorized modifications to vehicle ECUs. A proof of concept blockchain prototype framework is implemented on a set of microprocessors (comparable to those used by simple ECUs) as a means to assess the efficacy of using our blockchain approach to detect unauthorized updates. ...A proof of concept blockchain prototype framework is implemented on a set of microprocessors (comparable to those used by simple ECUs) as a means to assess the efficacy of using our blockchain approach to detect unauthorized updates. ...A proof of concept blockchain prototype framework is implemented on a set of microprocessors (comparable to those used by simple ECUs) as a means to assess the efficacy of using our blockchain approach to detect unauthorized updates.

Fog computing distributes data in a decentralized way and blockchain also works on the principle of decentralization. Blockchain, as a decentralized database, uses cryptographic methods including hash functions and public key encryption to secure the user information. ...We provide blockchain security in UAV-based fog computing to secure a large volume of data. The communicated data is stored in the form of blocks with hash functions, which guarantee security in the network. ...Thus, the aim of blockchain security is to guarantee that any hostile third party cannot corrupt or change the live missions or tasks allocated to actual UAV–Fog nodes.

The proposed black box architecture is both layered and diffuse, employing distributed hash tables (DHT), a parity system and a public blockchain to provide high resilience, assurance, scalability, and efficiency for automotive and other high-assurance systems.

This industry-academia collaborative work studies the benefits and challenges associated with the use of distributed ledger (or blockchain) technology toward preventing counterfeiting in the presence of malicious supply-chain parties. ...We illustrate that the provision of a distributed and append-only ledger jointly governed by supply-chain parties themselves makes permissioned blockchains such as Hyperledger Fabric a promising approach toward mitigating counterfeiting. Meanwhile, we demonstrate that the privacy of supply-chain parties can be preserved as competing supply-chain parties strive to protect their businesses from the prying eyes of competitors and counterparties. ...Besides, we show that the recall process can be achieved efficiently with the help of the blockchain. The proposed solution, Fordchain, overcomes the challenges to achieve the best of both worlds: a solution to the counterfeiting problem using distributed ledger technology while providing accountability and the privacy notions of interest for supply-chain parties.