Security and Privacy in Blockchains and the IoT

• Other Authors: Stach, Christoph (Editor)
• Format: Electronic Book Chapter
• Language: English
• Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
• Subjects: Technology: general issues; History of engineering & technology; crowd management; software-defined networking; linked-data signatures; Web of Things; zero-knowledge proofs; digital twin; blockchain; Proof-of-Work; microservices; Singular Spectrum Analysis (SSA); byzantine fault tolerance; IoT; security; privacy; environment; IOTA; Tangle; MAM; directed acyclic graph; distributed ledger; blockchain systems; query processing; data models; data structures; block structures; encrypted traffic classification; network analysis; mobile data; network traffic to image; Internet of Things; ECIES; secure hash function; reliability; trust model; social internet of things; service delegation; ambient assisted living; security and privacy; IoT blockchain integration; decentralization; n/a
• Online Access: DOAB: download the publication; DOAB: description of the publication

Data have become an immensely valuable resource. They are the key driver that puts the smart into smart services. This is fundamentally fueled by two technological achievements, namely the Internet of Things (IoT), which enables the continuous and comprehensive collection of all kinds of data, and blockchain technologies, which provide secure data management and exchange. In addition to those information security measures, data privacy solutions are also required to protect the sensitive data involved. In this book, eight research papers address security and privacy challenges when dealing with blockchain technologies and the IoT. Solutions are presented to the issue of how IoT group communication can be secured and how trust within IoT applications can be increased. In the context of blockchain technologies, approaches to enhance query-processing capabilities and efficiently apply a proof-of-work consensus protocol in IoT environments are introduced. Furthermore, how blockchain technologies can be used in IoT environments to control access to confidential IoT data as well as enable privacy-aware data sharing is discussed. Finally, two reviews offer an overview of the state-of-the-art in in-app activity recognition based on convolutional neural networks and the prospects for blockchain technology applications in ambient assisted living.