On the adoption of blockchain for business process monitoring

Ciccio, Claudio Di; Meroni, Giovanni; Plebani, Pierluigi

doi:10.1007/s10270-021-00959-x

Cited by 22 publications

(9 citation statements)

References 71 publications

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“…With the development of blockchain technology, several studies on the integration of business process management with blockchain have been proposed. Di Ciccio et al (2022) outlined how blockchain can be used to enable the monitoring of business processes (BPs) and discuss the challenges that are ultimately faced. Nabhani et al (2018) proposed a generic approach to optimize and control existing process differences in the supply chain.…”

Section: Related Workmentioning

confidence: 99%

Next activity prediction of ongoing business processes based on deep learning

et al. 2023

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Next activity prediction of business processes (BPs) provides valid execution information of ongoing (i.e., unfinished) process instances, which enables process executors to rationally allocate resources and detect process deviations in advance. Current researches on next activity prediction, however, concentrate mostly on model construction without in‐depth analysis of historical event logs. In this article, we are dedicated to proposing an approach to forecast the next activity effectively in BPs. After in‐depth analysis of historical event logs, three types of candidate activity attributes are defined and calculated as additional input for the prediction based on three essential elements, that is, frequent activity patterns, trace similarity and position information. Furthermore, we construct an effective hybrid prediction model combining the popular convolutional neural network (CNN) and bidirectional long short‐term memory (Bi‐LSTM) with self‐attention mechanism. Specifically, CNN is used to extract the temporal features before importing into Bi‐LSTM for accurate prediction, and self‐attention mechanism is applied to strengthen features that have decisive effects on the prediction results. Comparison experiments on four real‐life datasets demonstrate that our hybrid model with selected attributes achieves better performance on next activity prediction than single models, and improves the prediction accuracy by 2.98%, 6.05%, 2.70% and 5.26% on Helpdesk, Sepsis, BPIC2013 Incidents and BPIC2012O datasets than the state‐of‐the‐art methods, respectively.

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Section: Related Workmentioning

confidence: 99%

Next activity prediction of ongoing business processes based on deep learning

et al. 2023

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“…Therefore, while vigorously developing electronic seals, we need to pay attention to the security and reliability of electronic seals, build a safe, reliable, and authoritative electronic seal system, so that people can quickly and conveniently ensure the security of electronic seals. Some works [31][32][33][34][35][36] attempted to establish novel business model by using blockchain technology. The study in [33] presents a model to describe the adoption of blockchain for developing business model innovation (BMI).…”

Section: Related Workmentioning

confidence: 99%

Blockchain based Multi-signature Smart Contract Electronic Seal Orienting Mobile IoT Terminals

Liu,

Feng

2023

Preprint

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The surging interest in digitalization has revitalized research for digital business model. Mobile Internet of Things (IoT) terminals will reach billions and become an important infrastructure for a digital and intelligent society. In the digital business model of IoT terminals, the electronic seal of commercial contracts are especially investigated to provide same level security as guaranteed by the traditional seal. However, the existing electronic seal is only applicable to the centralized network applications, which severely rely on the certificate authority. In this paper, we propose a blockchain based multi-signature smart contract electronic seal. The key of our design is to deploy a smart contract of business parties on Ethereum for secure electronic seal orienting mobile IoT terminals. Unlike traditional seal, this electronic seal is verified and managed collectively by all mining nodes. Combining it with the optimization in terms of a multi-signature algorithm encoded in smart contract, our design achieves complete digital contract function in all business participants of terminals. As an example, we show an implementation of Goerli testnet of the Ethereum network with the smart contract deployment. The security analysis and evaluation demonstrate that our design is secure of its multi-signature and can be used in practice.

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Section: Proposed Solutionmentioning

confidence: 99%

“…They are deterministic (execute according to specified logic when specific conditions are met) and define a protocol of interaction between different entities with verifiability guaranteed 51 . These among others make SCs ideal to automate business processes by executing according to specification once triggered thereby creating a trusted environment for hitherto untrusting parties 52 …”

Section: Proposed Solutionmentioning

confidence: 99%

“…51 These among others make SCs ideal to automate business processes by executing according to specification once triggered thereby creating a trusted environment for hitherto untrusting parties. 52 SCs act as the backend for dApps. Note that DApps are applications that communicate with SCs hence benefits from the immutability, transparency, decentralization, and fault-tolerance or resilience that are characteristic of blockchain technology.…”

Section: Smart Contractmentioning

confidence: 99%

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COVID‐19 and future pandemics: A blockchain‐based privacy‐aware secure borderless travel solution from electronic health records

2022

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COVID‐19 pandemic undoubtedly lingers on and has brought unprecedented changes globally including travel arrangements. Blockchain‐based solutions have been proposed to aid travel amid the pandemic hap. Presently, extant solutions are country or regional‐based, downplay privacy, non‐responsive, often impractical, and come with blockchain‐related complexities presenting technological hurdle for travelers. We therefore propose a solution namely, Borderless to foster global travel allowing travelers and countries collaboratively engage in a secure adaptive proof protocol dubbed Proof‐of‐COVID‐19 status a number of arbitrary statements to ascertain the fact that the traveler poses no danger irrespective of the country located. As far as we know, this is first of its kind. Borderless is implemented as a decentralized application leveraging blockchain as a trust anchor and decentralized storage technology. Security analysis and evaluation are performed proving security, privacy‐preservation, and cost‐effectiveness along with implementation envisioning it as a blueprint to facilitate cross‐border travel during the present and future pandemics. Our experimental results show it takes less than 60 and 3 s to onboard users and perform proof verification respectively attesting to real usability scenarios along with the traits of arbitrary proofs to aid responsiveness to the dynamics of pandemics and blockchain abstraction from travelers.

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On the adoption of blockchain for business process monitoring

Cited by 22 publications

References 71 publications

Next activity prediction of ongoing business processes based on deep learning

Next activity prediction of ongoing business processes based on deep learning

Blockchain based Multi-signature Smart Contract Electronic Seal Orienting Mobile IoT Terminals

COVID‐19 and future pandemics: A blockchain‐based privacy‐aware secure borderless travel solution from electronic health records

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