Open research questions in Blockchain Technology Applications and Security

What the literature leaves open

• This paper has presented a comprehensive framework for combating the growing threat of synthetic identity fraud in the digital banking sector. This final section summarizes the key scientific contributions of our work and then outlines promising directions for future research that build upon this foundation. 9.1 Summary of contributions This research makes several specific contributions to the field of digital identity security and financial technology. The challenge of synthetic identity fraud is emblematic of a broader issue facing the digital economy: establishing trust in an environment where identity is fluid and easily fabricated. The traditional, centralized models of identity verification, which have served us for decades, are showing their age and are ill-equipped to handle the scale and sophistication of modern financial crime. The work presented in this paper is a practical step toward a more secure and resilient paradigm. By demonstrating a feasible method for collaborative, privacy-preserving fraud detection, we hope to encourage a shift in mindset–from viewing financial institutions as isolated data silos to seeing them as potential nodes in a collaborative, secure network. Journal of Banking and Financial Technology The future of digital identity does not lie in building larger, more vulnerable central databases, but in creating decentralized ecosystems where trust can be established through cryptographic proof rather than the wholesale sharing of personal data. Realizing this future will require continued technical innovation, but more importantly, it will demand a new commitment to cross-industry collaboration and the development of robust governance frameworks to support these powerful new technologies. game theory and economic modeling to design and analyze formal governance structures. This could involve creating incentive mechanisms that encourage honest participation from financial institutions, fairly distribute operational costs, and establish clear protocols for dispute resolution and data stewardship, thereby providing a socio-technical blueprint for building a sustainable consortium.

  A blockchain-based cross-verification protocol for combating synthetic identity fraud in digital banking · 2026 · DOI

• Two-layer blockchain-based system: fast validation using PoA, stronger protection using PoW afterward. The idea is to split the processes in such a way that the system will not slow down while maintaining a better ledger. The results matched our expectations, with an average transaction time of 4.31 seconds and block creation times of 0.371 and 0.677 seconds for PoA and PoW, respectively. The next main test revealed that all 200 ledger tampering schemes could be recovered in an average time of 1.50 seconds. In our opinion, the addition of PoW to PoA significantly increased its ability to detect a manipulation without compromising the speed of normal validation. Despite these promising results, several limitations remain. The current implementation is designed for controlled institutional environments, typically within local office networks or securely interconnected offices via VPN. It is not intended for large-scale public blockchain deployment. Future work may therefore explore performance optimization and scalability evaluation across geographically distributed institutional networks. Other improvements that can be made to upgrade this model are more optimized workloads, which can minimize computing resource consumption in the mining operations. Furthermore, version control can be implemented in order to perform document editing within the system.

  BLOCKVAL: A Hybrid Consensus Algorithm for Document Validation in Private Blockchain Networks · 2026 · DOI

• Main findings: Three findings emerged: (1) limited information sharing undermines traceability and safety, (2) ERP systems lack farm-to-fork capabilities, and (3) non-integrated systems cause inefficient tracking and recalls.

  A framework for the adoption of blockchain technology for food traceability in the South African fast-moving consumer goods industry · 2026 · DOI

• Nonetheless, there are still several issues.  Firstly, dependence on the honest scanning of QR codes at every transfer point creates a weak link as humans can be manipulated; future developments will use automated IoT sensors such as an RFID reader at the door of every dock point.

  Blockchain-Integrated Transparent Supply Chain Framework for Counterfeit Prevention · 2026 · DOI

• Digit Commun Netw 6(4):480–485 Casino F, Dasaklis TK, Patsakis C (2019) A systematic literature review of blockchain-based applications: current status, classification and open issues. InInternational workshop on open problems in network security (2015) 29.

  Blockchain in financial intermediation and beyond: institutional barriers, welfare gains, and a pathway to diffusion · 2026 · DOI

• While Polish higher-education institutions enjoy substantial autonomy in launching new educational formats, including postgraduate programmes and pilot digital credential systems, the broader diffusion of blockchain-based academic credentials remains limited by the absence of a coordinated national policy initiative.

  Blockchain and Cryptoasset Initiatives at Polish Higher Education Institutions: A Structured Inventory and Selected Case Studies · 2026 · DOI

• the blockchain enhancing infrastructure and smart contract capabilities. While the current system uses Hyperledger Fabric for future secure improvements can focus on optimizing consensus mechanisms and reducing transaction latency. This management, transaction is will improve system speed and efficiency, especially when handling large volumes of transactions. Advanced smart contracts can be developed to automate more complex workflows, such as multilevel approval processes and conditional custody transfers. These enhancements will reduce manual intervention and improve system reliability. Furthermore, interoperability with other blockchain networks can be explored to enable cross-platform data sharing. This will allow different organizations to collaborate securely and share evidence without compromising data integrity. Overall, improving blockchain functionality will make the system more scalable and efficient. The system can also be enhanced by improving user interface design and accessibility. Currently, the system provides a webbased interface for managing evidence, but future versions can include mobile applications for better accessibility. This will allow users to upload and verify evidence directly from mobile devices in real time. Enhancing the user interface with better visualization tools such as graphs, timelines, and dashboards can improve user experience. These features will help users understand evidence history and system activities more clearly. Additionally, multilingual support can be added to make the system accessible to a wider range of users. Improving usability and accessibility will increase adoption and make the system more practical for real-world use. Another significant area for improvement is system scalability and performance optimization. As the system handles large volumes of data, optimizing computational efficiency becomes essential. Techniques such as distributed computing and cloud deployment can be used to improve system performance. This will allow the system to process data faster and handle more users simultaneously. Reducing processing is important for real-time applications where quick response is required.

  BLOCKCHAIN BASED CHAIN OF CUSTODY FOR EVIDENCE · 2026 · DOI

• The proposed Blockchain-Based Chain of Custody System for Evidence has demonstrated strong capability in ensuring secure, transparent, and forensic data. tamper-proof management of However, there are several opportunities for further improvement and expansion to enhance the overall efficiency and reliability of the system. One of the key areas for future enhancement is improving the integration of advanced data sources. Currently, the system focuses on digital evidence such as images and documents, but future improvements can include integration with IoT devices and real-time sensors. This would allow automatic evidence collection from devices such as surveillance cameras and smart sensors. Such integration would reduce manual effort and improve accuracy in data collection. Additionally, incorporating biometric verification methods can further strengthen authentication mechanisms. Expanding the system to support multiple types of evidence and automated data capture will make it more robust and suitable for real-world applications. Overall, improving data acquisition and integration will significantly enhance system performance. Another important area for future work the blockchain enhancing infrastructure and smart contract capabilities. While the current system uses Hyperledger Fabric for future secure improvements can focus on optimizing consensus mechanisms and reducing transaction latency. This management, transaction is will improve system speed and efficiency, especially when handling large volumes of transactions. Advanced smart contracts can be developed to automate more complex workflows, such as multilevel approval processes and conditional custody transfers. These enhancements will reduce manual intervention and improve system reliability. Furthermore, interoperability with other blockchain networks can be explored to enable cross-platform data sharing. This will allow different organizations to collaborate securely and share evidence without compromising data integrity. Overall, improving blockchain functionality will make the system more scalable and efficient. The system can also be enhanced by improving user interface design and accessibility. Currently, the system provides a webbased interface for managing evidence, but future versions can include mobile applications for better accessibility. This will allow users to upload and verify evidence directly from mobile devices in real time. Enhancing the user interface with better visualization tools such as graphs, timelines, and dashboards can improve user experience. These features will help users understand evidence history and system activities more clearly. Additionally, multilingual support can be added to make the system accessible to a wider range of users. Improving usability and accessibility will increase adoption and make the system more practical for real-world use. Another significant area for improvement is system scalability and performance optimization. As the system handles large volumes of data, optimizing computational efficiency becomes essential. Techniques such as distributed computing and cloud deployment can be used to improve system performance. This will allow the system to process data faster and handle more users simultaneously. Reducing processing is important for real-time applications where quick response is required.

  BLOCKCHAIN BASED CHAIN OF CUSTODY FOR EVIDENCE · 2026 · DOI

• CONCLUSIONS for both impact individual Supply Chain The integration of complex behavioral biometrics and static signature analysis in an endpoint environment has and significant organizational cybersecurity in the broad context of Cyber Point-in-time authentication is insufficient; any weakness in an unlocked system may put the entire organizational network at risk.

  Medical Supply Blockchain · 2026 · DOI

• Consequently, future research should focus on integrating dynamic stochastic volatility models (such as Heston or GARCH specifications) with the heavy-tailed Student-t framework to capture temporal volatility smiles. However, several limitations in this study remain to be addressed in future work. First, the current pricing framework assumes a constant volatility parameter within the Student-t specification, which does not account for the time-varying volatility dynamics and stochastic volatility clustering observed over longer time horizons. This research confirms that traditional Gaussian frameworks are insufficient for the unique volatility profile of digital assets.

  Analysis of pricing biases and tail risk in non-standard (cryptocurrency) options · 2026 · DOI

• In the Elliptic setting, the transaction graph changes over time, the minority illicit class is sparse, and the local graph context of suspicious nodes is often incomplete or unstable33. Another promising direction is to combine feature-gated temporal graph learning with self-supervised pretraining or other label-efficient learning strategies, which may further improve robustness when illicit labels are scarce43.

  Illicit Bitcoin transaction detection via feature-gated temporal graph learning · 2026 · DOI

• testing and sample size, future research should validate realworld scalability and predictive automation. Overall, digital transformation and supply chain transparency through a robust, quantifiable, and adaptable traceability model applicable across industrial domains.

  A Traceability Model for Rental Equipment in Support Companies within the Oil and Gas Industry · 2026 · DOI

• Although the results demonstrate strong potential for practical application, several limitations remain. First, the verification process was conducted within a simulated environment in a live using Bizagi Modeler rather than industrial the limit representation of real-world complexities. setting, which may Table 6.

  A Traceability Model for Rental Equipment in Support Companies within the Oil and Gas Industry · 2026 · DOI

• Identified Gaps dressed Ekblaw et al. MedRec system us- Data access, patient Interoperability, reg- No side-chaining, (2016) ing Ethereum smart control, security ulatory compliance full-chain scans for contracts for medical data management retrieval, and scalability…

  A Linked-List based Blockchain for Efficient Electronic Health Record Management · 2026 · DOI

• This study presented the design, implementation, and evaluation of an escrow-based peer-to-peer online payment framework aimed at enhancing trust and reduc- ing fraud in decentralized digital marketplaces. Motivat- ed by persistent trust deficiencies in internet commerce systems and the limitations of existing blockchain and payment channel-based solutions, the proposed platform integrates semi-automated escrow management with administrative verification, transaction verification, and dispute resolution mechanisms into a unified operational architecture. However, formal load testing and concur- rency analysis were beyond the scope of this prototype implementation. Functional testing and scenario-based validation demonstrated that the proposed system cor- rectly implements escrow transaction workflows, sup- ports dispute-resolution processes, and provides mecha- nisms intended to mitigate common transaction risks in peer-to-peer online commerce. By decoupling trust en- forcement from heavy blockchain infrastructures, the framework achieves a pragmatic balance between securi- ty, scalability, and deployability. This approach aligns with emerging research trends emphasizing lightweight trust-enhancing mechanisms for decentralized commerce environments. The findings contribute to a prototype es- crow-based framework that demonstrates how trust- enhancing transaction workflows may be integrated into peer-to-peer online commerce environments. Unlike pri- or works that primarily optimize payment throughput, privacy, or cryptographic security, this study focuses on the operational realities of trust enforcement in informal and semi-formal trading ecosystems. Future research directions include integrating repu- tation-based trust scoring mechanisms, exploring block- chain-assisted escrow verification for high-value transac- tions, and extending the platform to support cross-border regulatory compliance. Further large-scale deployment studies and user-centered evaluations are also recom- mended to quantify long-term behavioral impacts and adoption dynamics in diverse internet commerce contexts.

  An Escrow-Based Peer-to-Peer Online Payment System for Fraud Reduction · 2026 · DOI

• Sharding offers one of the most powerful solutions for enhancing the performance and scalability of Blockchain protocols. In this context, we proposed a novel sharding mechanism (LARCH) designed to increase Blockchain per- formance, specifically transaction throughput and latency, based on hashing and Latency-Aware techniques. To 1 3Peer-to-Peer Networking and Applications (2026) 19:101 Page 13 of 15 101 Fig. 5 Comparison of average throughput for 25,000 to 100,000 transactions across four techniques (R-shard, K-shard, G-shard, and C-shard), evaluated with 30 to 50 shards using two configurations of “nodes per shard" (20 and 40) 1 3Peer-to-Peer Networking and Applications (2026) 19:101 101 Page 14 of 15 evaluate our approach, we conducted parameter-variance experiments and compared them with three state-of-the-art sharding mechanisms. Our simulation results show that our algorithm achieves less latency and throughput increased up to 146.64%, 98.42%, and 102.08% compared with G-shard, R-shard, and K-shard. These results demonstrate that our proposed approach outperforms existing techniques in terms of latency and throughput. While this study primary focus is on enhancing the performance and scalability of the Block- chain, it does not address security challenges. Our proposed technique ensures that a node is consistently remapped to the same shard, even in cases of node departures or failures. Our future work will shift towards developing advanced including dynamic shard fault-tolerance mechanisms, reconfiguration via adaptive resizing and quantum-resistant cryptography, to enhance resilience and security, alongside comprehensive performance and accuracy evaluations. Author Contributions Conceptualization, J.V and M.N.; Methodolo- gy, J.V and M.N.; Software, J.V. ; Validation, J.V. ; Results and Visual- ization, J.V; Writing–Original Draft Preparation, J.V; Writing–Review and Editing, J.V and M.N; Supervision, M.N.; Funding This research received no external funding. Data Availability No datasets were generated or analysed during the current study.

  LARCH: Blockchain sharding technique using latency-aware ring consistent hashing · 2026 · DOI

• There are a number of research directions in the future. To start with, there has been minimal direct research on integration of enterprise tax engines. The determination of API-mediated taxation, latency-tolerant strategies, caching techniques, fallback logic, and rule-version governance of large-scale commerce and advertising platforms should be researched. Adoption, legal reform, and compliance results are explained in current literature, but the internal engineering of intelligent tax computation is not a well-developed academic field. Second, there should be greater work done in tax classification in complex digital transactions. eCommerce is increasingly packaged in bundles of goods, digital content, shipping, warranty, subscriptions of access, and even promotion. AdTech increasingly involves bundled services, including media, data, optimization, and managed services. 1003 International Journal of Science and Research Archive, 2026, 19(02), 994-1005 Future research ought to be done on how intelligent systems can be used to categorize such bundles without losing legal nuance. Ontology-style solutions seem to be successful in this respect since it is the structured knowledge models which are able to preserve interpretive pathways without bundling them up in non-understandable configuration files [12]. Third, a closer look should be devoted to the connection between digital taxation administration and enterprise tax technology. The research on e-invoicing and digital tax administration demonstrates that the modernization of the administration can enhance compliance and efficiency of the audit process [8], [17]. The future research must investigate mutual dynamics where the enterprise systems are tailored to the digitalization of tax authorities, and the public authorities are tailored to the records that are machine-readable records created by enterprise tax engines. The results of such study would assist in clarifying the co-evolution of the ideas of private tax technology and government tax infrastructure. Fourth, AdTech Taxation is a topic that needs its own literature stream. The current research on platform-taxation gives a pertinent theoretical background [16], [18], [19], but invoice-level and service-line tax determination in digital advertising markets is underexplored. Further studies are needed regarding advertising-service sourcing, intermediate liability, taxation of promotional credit, cross-border media services, and the relationship between billing structure and the incidence of taxes. This would be particularly useful to the giant multi-entity media and advertising platforms. Fifth, explainability and governance will probably become the key design issues. The computation of intelligent tax can progressively depend on structured graph representation, probabilistic classification frameworks for classification, anomaly detection, and workflow support. Future studies are required to focus on how such capabilities can be brought in without compromising legal certainty, audit traceability or accountability for final tax outcomes. Practically, the most promising option can be hybrid approaches where deterministic legal rules continue to hold the first place, but the use of intelligent practices contributes to classifications, exception-handling pathways, and quality-control.

  Intelligent tax computation in eCommerce and AdTech using vertex integration · 2026 · DOI

• We identify four significant limitations of the current system that motivate the future work described in Section 14. First, the global timeline is not synchronized to real-world wall-clock time. The blockchain anchor sequence provides a tamper-evident ordering, but the mapping from blockchain block time to real-world time is approximate and subject to the variability of block production intervals. For applications that require precise temporal ordering at sub-second granularity, additional mechanisms — such as verifiable delay functions or trusted timestamp authorities — would be required. Second, events omitted before anchoring are unrecoverable. If an event is lost or deliberately withheld before it is included in an anchored batch, there is no mechanism in our current system to detect the omission or recover the missing event. This creates a vulnerability to selective omission attacks, where a malicious participant deliberately fails to report certain events. Distributed omission detection — a mechanism for participants to verify that all expected events from a given domain have been received — is a necessary extension that we defer to future work. Third, fraud label integrity depends on issuer honesty. While our fraud marker provenance chain ensures that labels are cryptographically bound to anchored evidence, it does not prevent a dishonest fraud intelligence module from producing labels that are technically valid but substantively incorrect — for example, by training a biased model or applying fraudulent scoring logic. Addressing this limitation requires reputation mechanisms, multi-party fraud assessment, or formal verification of fraud detection logic, all of which are beyond the scope of this paper. Fourth, our protocol provides tamper-evidence and cross-domain verifiability guarantees but makes no availability guarantees for off-chain event storage. An adversary who can deny access to event batches stored off-chain can prevent timeline reconstruction even though the Merkle roots on the blockchain remain intact. Ensuring availability requires replication and incentive mechanisms for data retention, which we identify as a key area for future work.

  Building Trust in Autonomous Commerce: A Verifiable Global Event Timeline and AI-Ready Fraud Intelligence Layer · 2026 · DOI

• This paper establishes the foundational protocol for verifiable audit in agentic commerce. We identify four priority directions for future research. First, zero-knowledge proofs for private verification. In many commerce scenarios, participants wish to demonstrate that an event occurred — or that a fraud assessment is valid — without revealing the underlying Page 16 Building Trust in Autonomous Commerce — Srivastava (2026) event data. Zero-knowledge proof systems such as zk-SNARKs or zk-STARKs could be integrated with our Merkle commitment scheme to enable privacy-preserving verification, allowing regulators to verify compliance without accessing sensitive transaction data. Second, inter-protocol adoption of canonical event schemas. The value of our system scales with the number of agentic commerce protocols that adopt the canonical event schema. We plan to work with the AP2 and ACP standards bodies to propose the canonical event schema as a protocol extension, and to develop tooling that simplifies adoption for existing protocol implementations. Third, distributed omission detection. As noted in Section 13, the current system cannot detect or recover from selective omission of events before anchoring. We plan to develop a distributed omission detection mechanism based on cryptographic accumulators or probabilistic audit sampling that allows participants to verify the completeness of event reporting with high confidence. Fourth, incentivized anchoring mechanisms. Anchoring requires participants to pay blockchain transaction fees, creating a potential free-rider problem where participants benefit from others' anchoring without contributing their own. We plan to develop economic mechanisms — potentially based on token incentives or cost-sharing protocols — that ensure sufficient anchoring participation to maintain the security guarantees of the global timeline.

  Building Trust in Autonomous Commerce: A Verifiable Global Event Timeline and AI-Ready Fraud Intelligence Layer · 2026 · DOI

• Conclusions FUNDING 12 13 14 15 16 17 18 19 20 21 If done, provide a rationale for conducting a critical appraisal of included sources of evidence; describe the methods used and how this information was used in any data synthesis (if appropriate). Describe the methods of handling and summarizing the data that were charted. Give numbers of sources of evidence screened, assessed for eligibility, and included in the review, with reasons for exclusions at each stage, ideally using a flow diagram. For each source of evidence, present characteristics for which data were charted and provide the citations. If done, present data on critical appraisal of included sources of evidence (see item 12). For each included source of evidence, present the relevant data that were charted that relate to the review questions and objectives. REPORTED ON PAGE # Not applicable – critical appraisal was not performed p. 5 pp. 8-9 Table 2, pp. 7–12, Citations pp.

  Blockchain-Enabled Self-Sovereign Identity Applications in Health Care: Scoping Review. · 2026 · DOI

• Frontiers in Blockchain 14 frontiersin.org Dávalos-Mayorga et al. 10.3389/fbloc.2026.1797659 coverage, may introduce selection bias by excluding relevant studies indexed in other databases or published as institutional and policy reports. The included studies exhibit considerable heterogeneity in research design, methodological approaches, and analytical frameworks. The coexistence of theoretical contributions, empirical quantitative analyses, legal studies, and conceptual discussions limits comparability and constrains the extraction of standardized conclusions across stablecoin categories. Due to this diversity, no quantitative synthesis or meta analysis was conducted. The findings therefore rely on qualitative thematic analysis, which is suitable for identifying conceptual patterns but does not allow for the measuring identified risks. the magnitude or statistical significance of The review does not provide an exhaustive technical evaluation of individual stablecoin models, limiting the assessment of their specific operational mechanisms and real world performance. Although regulatory frameworks are examined, the study does not include a systematic evaluation of the effectiveness of specific regulations such as MiCA or jurisdiction based impact assessments, which risk mitigation capacity. restricts conclusions their practical regarding 5.3 Future research includes a particular Future research could focus on a deeper analysis of each type of stablecoin and its performance under different market conditions, as well as on assessing the impact of existing and developing regulations on stability and confidence in the global focus on stablecoin market. This regulatory effects worldwide, comparing how different national regulations affect stablecoin stability and trust. Complementarily, future lines of inquiry could explore the in Popular and Solidarity potential use of stablecoins Economy contexts, particularly in emerging countries, where inclusion, these community-based payments, remittances, and access to alternative financial services. Assessing their compatibility with and sustainability—as well as the risks their adoption could generate local economies—would allow a more comprehensive evaluation of traditional financial system.

  Stablecoins: financial risks, vulnerabilities, and implications for the future internet — a systematic review · 2026 · DOI

• By integrating a PRISMA-guided search strategy, focused research questions and a structured quality assessment, this review mapped dominant application domains, identified where claimed benefits lack evidence, highlighted methodological and governance challenges and proposed design principles for future blockchain-based bioinformatics infrastructures.

  Blockchain in Bioinformatics Data Security: Systematic Evidence, Research Gaps and Pathways Forward · 2026 · DOI

• VI. CONCLUSION AND FUTURE WORK As healthcare systems undergo rapid digital transformation, safeguarding data privacy, integrity, and availability has become paramount. This review highlights blockchain as a transformative technology capable of addressing critical cybersecurity challenges in healthcare through its decentralized, transparent, and tamper-resistant features. By enabling secure data sharing, immutable audit trails, and enhanced patient-centric control, blockchain aligns well with the growing demands for trust and accountability in health information systems. Its potential is further amplified when integrated with complementary technologies, such as artificial intelligence, federated learning, and the Internet of Medical Things (IoMT), which collectively support secure, data-driven clinical insights. Despite its promise, blockchain implementation in healthcare faces notable hurdles scalability limitations, interoperability with legacy systems, and adherence to evolving regulatory standards. Overcoming these challenges requires a multidisciplinary approach involving technology developers, healthcare stakeholders, and policymakers. Future research should prioritize the development of lightweight and scalable blockchain architectures suited for resource-constrained environments such as healthcare IoT and edge computing. Emphasis should be placed on real- world pilot implementations to evaluate system performance, operational feasibility, and compliance with healthcare regulations like HIPAA and GDPR. Additionally, integrating advanced privacy-preserving techniques such as zero- knowledge proofs, differential privacy, and homomorphic encryption will be crucial to protect sensitive health data while still enabling secure data analytics and research. REFERENCES [1] S. Singamsetty, “Healthcare IOT security: examining security challenges and solutions in the Internet of Medical Things. A bibliometric perspective,” JPTCP, vol. 31, no. 8, pp. 1761–1806, 2024.

  Blockchain-Based Cybersecurity and Data Privacy in Healthcare Systems Review of Challenges and Emerging Trends · 2026 · DOI

• Volume 8, Issue 2, Pp 63-66, 2026 66 YiWen Gao & ChangEr Liu Smart contracts have evolved from early theoretical concepts into underlying engines driving digital transformation in critical industries such as finance, supply chains, and energy, creating significant economic benefits and business model innovations through automation, transparency, and disintermediation mechanisms. Although large-scale adoption still faces institutional challenges including unclear legal characterization, ambiguous liability attribution, and compliance friction, cost dividends from Layer-2 scaling, interconnectivity from cross-chain technology, and intelligent empowerment from AI continue to expand application boundaries. Looking forward, with the improvement of legal frameworks and advancement of technical standardization, smart contracts are poised to become foundational infrastructure for building a trustworthy digital economy, driving social collaboration models toward deep integration of "institutional trust" with "machine trust" and "algorithmic governance." COMPETING INTERESTS The authors have no relevant financial or non-financial interests to disclose. FUNDING This work was supported in part by the 2024 Hainan Vocational University of Science and Technology University-level Scientific Research Project “Research on the Mechanisms and Pathways of Digital Finance Empowering the Development of New Quality Productivity” (No. HKKY2024-29). REFERENCES [1] Szabo N. Formalizing and securing relationships on public networks. First Monday, 1997, 2(9). DOI: 10.5210/fm.v2i9.548. [2] Buterin V. Ethereum: A next-generation smart contract and decentralized application platform [White paper], 2014. DOI: https://ethereum.org/en/whitepaper/. [3] Atzei N, Bartoletti M, Cimoli T. A survey of attacks on Ethereum smart contracts (SoK). In Principles of Security and Trust: 6th International Conference, POST 2017, 2017: 164-186. DOI: 10.1007/978-3-662-54455-6_8. [4] Nakamoto S. Bitcoin: A peer-to-peer electronic cash system [White paper], 2008. DOI: https://bitcoin.org/bitcoin.pdf. [5] Swan M. Blockchain: Blueprint for a new economy. O'Reilly Media, 2015. [6] Coase R H. The nature of the firm. Economica, 1937, 4(16): 386-405. DOI: 10.1111/j.1468-0335.1937.tb00002.x. [7] Chen Y, Bellavitis C. Blockchain disruption and decentralized finance: The rise of decentralized business models. Journal of Business Venturing Insights, 2020, 13: Article e00151. DOI: 10.1016/j.jbvi.2019.e00151. [8] Williamson O E. The economic institutions of capitalism: Firms, markets, relational contracting. Free Press, 1985. [9] Financial Stability Board. Regulation, supervision and oversight of crypto-asset activities and markets: Consultative document, 2022. DOI: https://www.fsb.org/wp-content/uploads/P111022-3.pdf. [10] Kshetri N. Blockchain's roles in meeting key supply chain management objectives. International Journal of Information Management, 2018, 39: 80-89. DOI: 10.1016/j.

  SMART CONTRACTS IN INDUSTRY APPLICATIONS AND ECONOMIC ECOSYSTEMS: CURRENT STATUS AND TRENDS · 2026 · DOI

• No experimental validation was provided for the claimed data traceability and provenance tracking capabilities. Quantitative metrics for audit trail completeness, data lineage reconstruction accuracy, and tampering detection rates in the lightweight blockchain model are absent.

  ENHANCING IOT SECURITY USING LIGHTWEIGHT BLOCKCHAIN FOR DATA INTEGRITY AND TRACEABILITY · 2026 · DOI

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