Smart Contracts for Certified and Sustainable Safety-Critical Continuous Monitoring Applications

Elia, Nicola; Barchi, Francesco; Parisi, Emanuele; Pompianu, Livio; Carta, Salvatore; Bartolini, Andrea; Acquaviva, Andrea

doi:10.1007/978-3-031-15740-0_27

Cited by 3 publications

(2 citation statements)

References 24 publications

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“…These attacks can be particularly damaging if the sensors monitor critical processes, such as temperature in refrigeration systems. The research [24] focused on attacks introducing erroneous signals into the system. Through various means, from injecting false signals to manipulating inputs, attackers can trick a sensor into believing it is receiving legitimate data when it is not.…”

Section: Review Of Similar Workmentioning

confidence: 99%

Tamper Detection in Industrial Sensors: An Approach Based on Anomaly Detection

Villegas-Ch,

Govea,

Jaramillo-Alcazar

2023

Sensors

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The Industrial Revolution 4.0 has catapulted the integration of advanced technologies in industrial operations, where interconnected systems rely heavily on sensor information. However, this dependency has revealed an essential vulnerability: Sabotaging these sensors can lead to costly and dangerous interruptions in the production chain. To address this threat, we introduce an innovative methodological approach focused on developing an anomaly detection algorithm specifically designed to track manipulations in industrial sensors. Through a series of meticulous tests in an industrial environment, we validate the robustness and accuracy of our proposal. What distinguishes this study is its unique adaptability to various sensor conditions, achieving high detection accuracy and prompt response. Our algorithm demonstrates superiority in accuracy and sensitivity compared to previously established methodologies. Beyond detection, we incorporate a proactive alert and response system, guaranteeing timely action against detected anomalies. This work offers a tangible solution to a growing challenge. It lays the foundation for strengthening security in industrial systems of the digital age, harmonizing efficiency with protection in the Industry 4.0 landscape.

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Section: Review Of Similar Workmentioning

confidence: 99%

Tamper Detection in Industrial Sensors: An Approach Based on Anomaly Detection

Villegas-Ch,

Govea,

Jaramillo-Alcazar

2023

Sensors

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“…By leveraging blockchain technology, a group of peers can manage a tamper-resistant and decentralized ledger, ensuring transparent and secure data sharing ( Hellani et al, 2021 ). These properties are particularly valuable for decision-makers, as fairness and optimality are common requirements in decision processes ( Aringhieri et al, 2022 ; Diglio et al, 2021 ; Sale et al, 2018 ), making blockchain applicable in various sectors ( Elia et al, 2022 ; Khan & Anjum, 2022 ; Hasan et al, 2022 ). However, according to the scalability trilemma conjecture, a blockchain cannot simultaneously achieve security, decentralization, and scalability ( Perboli, Musso & Rosano, 2018 ).…”

Section: Introductionmentioning

confidence: 99%

Trapdoor proof of work

Capocasale

2024

PeerJ Computer Science

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Consensus algorithms play a crucial role in facilitating decision-making among a group of entities. In certain scenarios, some entities may attempt to hinder the consensus process, necessitating the use of Byzantine fault-tolerant consensus algorithms. Conversely, in scenarios where entities trust each other, more efficient crash fault-tolerant consensus algorithms can be employed. This study proposes an efficient consensus algorithm for an intermediate scenario that is both frequent and underexplored, involving a combination of non-trusting entities and a trusted entity. In particular, this study introduces a novel mining algorithm, based on chameleon hash functions, for the Nakamoto consensus. The resulting algorithm enables the trusted entity to generate tens of thousands blocks per second even on devices with low energy consumption, like personal laptops. This algorithm holds promise for use in centralized systems that require temporary decentralization, such as the creation of central bank digital currencies where service availability is of utmost importance.

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