Towards a Holistic DLT Architecture for IIoT: Improved DAG for Production Lines

Stefanescu, Denis; Galán-García, Patxi; Montalvillo, Leticia; Unzilla, Juanjo; Urbieta, Aitor

doi:10.1007/978-3-030-86162-9_18

Cited by 6 publications

(4 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The usefulness of DLTs in industry has already been proven, and its effect is considered positive in improving data confidentiality, privacy, and security in IIoT networks [21]. In this sense, the literature considers that Directed Acyclic Graph (DAG)-type DLTs are the most promising for the industry due to their scalability and transaction speed [22,23]. In fact, DAG-type DLTs are faster and more secure as transactions increase, which provides a high performance [16].…”

Section: Iota For Attribute Auditabilitymentioning

confidence: 99%

See 1 more Smart Citation

Trustworthy Users: Using IOTA and IPFS for Attribute Validation in CP-ABE and dCP-ABE Schemes

et al. 2023

Self Cite

View full text Add to dashboard Cite

Attribute spoofing is a major security threat in information exchange solutions based on Ciphertext-Policy Attribute-Based-Encryption (CP-ABE) and distributed CP-ABE (dCP-ABE), which can compromise privacy and security. This threat occurs when an attacker forces the Attribute Authorities to generate keys for attributes they do not possess. This paper analyzes the threat of attribute spoofing and identifies the primary attack vectors, including direct interference with the Attribute Authority and compromise of the shared attribute storage database. The authors propose a solution based on IOTA, a DAG-type DLT, and Interplanetary File System (IPFS) to prevent attribute spoofing. The solution requires distributed attribute storage, validation, and user authentication to counteract the two attack vectors effectively. The proposed solution mitigates the consequences of attribute spoofing, including privilege escalation and reduction, acquisition of private keys, and cutoff of data access. The authors also evaluate their proposal through a value-chain use case and conclude that it effectively mitigates the consequences of attribute spoofing.

show abstract

Section: Iota For Attribute Auditabilitymentioning

confidence: 99%

“…Readers should consider that the DLT choice works assuming that every company in the value chain has established a minimal security architecture. Instead, if IOTA nodes are at risk of being compromised, a reputation-based layer may need to be added [22].…”

Section: Iota For Attribute Auditabilitymentioning

confidence: 99%

Trustworthy Users: Using IOTA and IPFS for Attribute Validation in CP-ABE and dCP-ABE Schemes

et al. 2023

Self Cite

View full text Add to dashboard Cite

show abstract

“…IIoT is a collaborative system with smart, interdependent, interconnected nodes of heterogeneous nature, wireless sensors, transaction processors, actuators, network connectives, and transceivers in the existing environment. However, these integrated technologies and their working operations are categorized into four different layers [56,57,58]. Each has some preliminaries to establish a connection, interaction, and communication between IoT devices.…”

Section: A the Current Architecture Of Iiotmentioning

confidence: 99%

Internet of Things (IoT) Security With Blockchain Technology: A State-of-the-Art Review

et al. 2022

View full text Add to dashboard Cite

With the rapid enhancement in the design and development of the Internet of Things creates a new research interest in the adaptation in industrial domains. It is due to the impact of distributed emerging technology and topology of industrial Internet of Things and the security-related resource constraints of industrial 5.0. This conducts new paradigm along with critical challenges to the existing information preservation, node transactions and communication, transmission, trust and privacy, and security protection related problems. These critical aspects pose serious limitations and issues for the industry to provide industrial data integrity, information exchange reliability, provenance, and trustworthiness for the overall activities and service delivery prospects. In addition, the intersection of blockchain and industrial IoT has gained more consideration and research interest. However, there is an emerging limitation between the inadequate performance of industrial IoT and connected nodes, and the high resource requirement of permissioned private blockchain ledger has not yet been tackled with the complete solution. Due to the introductions of NuCypher Re-Encryption infrastructure, hashing tree and allocation, and deployment of blockchain proof-of-work required more computational power as well. This paper is divided into three different folds; first, we studied various related literature of blockchain-enabling industrial Internet of Things and its critical implementation challenging aspects along with the solution. Secondly, we proposed a blockchain hyperledger sawtooth-enabled framework. This framework provides a secure and trusted execution environment, in which service delivery mechanisms and protocols are designed with an acknowledgment, including the immutable ledger storage security, along with the peer-topeer network on-chain and off-chain communication of industrial activities. Thirdly, we design pseudochain codes and consensus protocols to provide smooth industrial node streamline transactions and broadcast content. The proposed multiple proof-of-work investigated and simulated using Hyperledger Sawtooth-enabled docker for testing to exchange information between connected devices of industrial Internet of Things within the limited usage of resource constraints.

show abstract

“…A DLT-based Industry 4.0 scenario is presented in [7], where there is a broad ecosystem of inter-connected smart plant clusters. Figure 1 shows an Industry 4.0 scenario with two industrial plants, where each plant has several production lines (e.g., Plant A has production lines "PL1-A1" and "PL2-A2").…”

Section: Introductionmentioning

confidence: 99%

Industrial Data Homogenization and Monitoring Scheme with Blockchain Oracles

Stefanescu

Galán-García²,

Montalvillo-Mendizabal

et al. 2023

Smart Cities

View full text Add to dashboard Cite

Research efforts on Distributed Ledger Technologies (DLTs) for industrial applications have constantly been increasing over the last years. The use of DLTs in the Industry 4.0 paradigm provides traceability, integrity, and immutability of the generated industrial data. However, Industry 4.0 ecosystems are typically composed of multiple smart factory clusters belonging to several companies, which are immersed in constant interaction with other business partners, clients, or suppliers. In such complex ecosystems, multiple DLTs are necessarily employed to maintain the integrity of the data throughout the whole process, from when the data is generated until it is processed at higher levels. Moreover, industrial data is commonly heterogeneous, which causes compatibility issues, along with security and efficiency issues in the homogenization process. Thus, the data needs to be pre-processed and homogenized in a secure manner before being exploited. Consequently, in this work, we address the issues mentioned above by providing an industrial raw data pre-processing and homogenization process according to a standard data model. We employ decentralized blockchain oracles to guarantee the integrity of the external data during the homogenization process. Hereafter, we design an interoperable plant blockchain for trustworthy storage and processing of the resulting homogenized data across several industrial plants. We also present a prototype implementation of the aforementioned scheme and discuss its effectiveness. Finally, we design a monitoring scheme to overview the usage the performance of the architecture processes and identify possible performance and security issues.

show abstract

Towards a Holistic DLT Architecture for IIoT: Improved DAG for Production Lines

Cited by 6 publications

References 16 publications

Trustworthy Users: Using IOTA and IPFS for Attribute Validation in CP-ABE and dCP-ABE Schemes

Trustworthy Users: Using IOTA and IPFS for Attribute Validation in CP-ABE and dCP-ABE Schemes

Internet of Things (IoT) Security With Blockchain Technology: A State-of-the-Art Review

Industrial Data Homogenization and Monitoring Scheme with Blockchain Oracles

Contact Info

Product

Resources

About