Change search
Link to record
Permanent link

Direct link
Alternative names
Publications (10 of 42) Show all publications
Sundstedt, V., Boeva, V., Zepernick, H.-J., Goswami, P., Cheddad, A., Tutschku, K., . . . Arlos, P. (2023). HINTS: Human-Centered Intelligent Realities. In: Håkan Grahn, Anton Borg and Martin Boldt (Ed.), 35th Annual Workshop of the Swedish Artificial Intelligence Society SAIS 2023: . Paper presented at 35th Annual Workshop of the Swedish Artificial Intelligence Society SAIS 2023, Karlskrona, June 12-13, 2023 (pp. 9-17). Linköping University Electronic Press
Open this publication in new window or tab >>HINTS: Human-Centered Intelligent Realities
Show others...
2023 (English)In: 35th Annual Workshop of the Swedish Artificial Intelligence Society SAIS 2023 / [ed] Håkan Grahn, Anton Borg and Martin Boldt, Linköping University Electronic Press, 2023, p. 9-17Conference paper, Published paper (Refereed)
Abstract [en]

During the last decade, we have witnessed a rapiddevelopment of extended reality (XR) technologies such asaugmented reality (AR) and virtual reality (VR). Further, therehave been tremendous advancements in artificial intelligence(AI) and machine learning (ML). These two trends will havea significant impact on future digital societies. The vision ofan immersive, ubiquitous, and intelligent virtual space opensup new opportunities for creating an enhanced digital world inwhich the users are at the center of the development process,so-calledintelligent realities(IRs).The “Human-Centered Intelligent Realities” (HINTS) profileproject will develop concepts, principles, methods, algorithms,and tools for human-centered IRs, thus leading the wayfor future immersive, user-aware, and intelligent interactivedigital environments. The HINTS project is centered aroundan ecosystem combining XR and communication paradigms toform novel intelligent digital systems.HINTS will provide users with new ways to understand,collaborate with, and control digital systems. These novelways will be based on visual and data-driven platforms whichenable tangible, immersive cognitive interactions within realand virtual realities. Thus, exploiting digital systems in a moreefficient, effective, engaging, and resource-aware condition.Moreover, the systems will be equipped with cognitive featuresbased on AI and ML, which allow users to engage with digitalrealities and data in novel forms. This paper describes theHINTS profile project and its initial results. ©2023, Copyright held by the authors   

Place, publisher, year, edition, pages
Linköping University Electronic Press, 2023
Series
Linköping Electronic Conference Proceedings, ISSN 1650-3686, E-ISSN 1650-3740 ; 199
National Category
Human Computer Interaction
Identifiers
urn:nbn:se:bth-25413 (URN)10.3384/ecp199001 (DOI)9789180752749 (ISBN)
Conference
35th Annual Workshop of the Swedish Artificial Intelligence Society SAIS 2023, Karlskrona, June 12-13, 2023
Funder
Knowledge Foundation, 20220068
Available from: 2023-09-22 Created: 2023-09-22 Last updated: 2023-12-28Bibliographically approved
Tkachuk, R.-V., Ilie, D., Robert, R., Kebande, V. R. & Tutschku, K. (2023). On the Performance and Scalability of Consensus Mechanisms in Privacy-Enabled Decentralized Renewable Energy Marketplace. Annales des télécommunications
Open this publication in new window or tab >>On the Performance and Scalability of Consensus Mechanisms in Privacy-Enabled Decentralized Renewable Energy Marketplace
Show others...
2023 (English)In: Annales des télécommunications, ISSN 0003-4347, E-ISSN 1958-9395Article in journal (Refereed) Epub ahead of print
Abstract [en]

Renewable energy sources were introduced as an alternative to fossil fuel sources to make electricity generation cleaner. However, today's renewable energy markets face a number of limitations, such as inflexible pricing models and inaccurate consumption information. These limitations can be addressed with a decentralized marketplace architecture. Such architecture requires a mechanism to guarantee that all marketplace operations are executed according to predefined rules and regulations. One of the ways to establish such a mechanism is blockchain technology. This work defines a decentralized blockchain-based peer-to-peer (P2P) energy marketplace which addresses actors' privacy and the performance of consensus mechanisms. The defined marketplace utilizes private permissioned Ethereum-based blockchain client Hyperledger Besu (HB) and its smart contracts to automate the P2P trade settlement process. Also, to make the marketplace compliant with energy trade regulations, it includes the regulator actor, which manages the issue and consumption of guarantees of origin and certifies the renewable energy sources used to generate traded electricity. Finally, the proposed marketplace incorporates privacy-preserving features, allowing it to generate private transactions and store them within a designated group of actors. Performance evaluation results of HB-based marketplace with three main consensus mechanisms for private networks, i.e., Clique, IBFT 2.0, and QBFT, demonstrate a lower throughput than another popular private permissioned blockchain platform Hyperledger Fabric (HF). However, the lower throughput is a side effect of the Byzantine Fault Tolerant characteristics of HB's consensus mechanisms, i.e., IBFT 2.0 and QBFT, which provide increased security compared to HF's Crash Fault Tolerant consensus RAFT.

Place, publisher, year, edition, pages
Springer Science+Business Media B.V., 2023
Keywords
Renewable Energy Marketplace, Blockchain Technology, Peer-To-Peer Energy Trading, Hyperledger Besu, Data Privacy
National Category
Computer Sciences Energy Systems
Research subject
Computer Science
Identifiers
urn:nbn:se:bth-24767 (URN)10.1007/s12243-023-00973-8 (DOI)001057000900001 ()2-s2.0-85169302173 (Scopus ID)
Available from: 2023-06-08 Created: 2023-06-08 Last updated: 2023-09-15Bibliographically approved
Tkachuk, R.-V., Ilie, D., Robert, R., Kebande, V. R. & Tutschku, K. (2023). On the Performance of Consensus Mechanisms in Privacy-Enabled Decentralized Peer-to-Peer Renewable Energy Marketplace. In: Lopez D., Montpetit M.-J., Cerroni W., Di Mauro M., Borylo P. (Ed.), Proceedings of the 26th Conference on Innovation in Clouds, Internet and Networks, ICIN 2023: . Paper presented at 26th Conference on Innovation in Clouds, Internet and Networks, ICIN 2023, Paris, 6 March through 9 March 2023 (pp. 179-186). Institute of Electrical and Electronics Engineers (IEEE)
Open this publication in new window or tab >>On the Performance of Consensus Mechanisms in Privacy-Enabled Decentralized Peer-to-Peer Renewable Energy Marketplace
Show others...
2023 (English)In: Proceedings of the 26th Conference on Innovation in Clouds, Internet and Networks, ICIN 2023 / [ed] Lopez D., Montpetit M.-J., Cerroni W., Di Mauro M., Borylo P., Institute of Electrical and Electronics Engineers (IEEE), 2023, p. 179-186Conference paper, Published paper (Refereed)
Abstract [en]

This work defines a decentralized blockchain-based peer-to-peer (P2P) energy marketplace which addresses actors' privacy and the performance of consensus mechanisms. The defined marketplace utilizes private permissioned Ethereum-based blockchain client Hyperledger Besu (HB) and its smart contracts to automate the P2P trade settlement process. Also, to make the marketplace compliant with energy trade regulations, it includes the regulator actor, which manages the issue and generation of guarantees of origin and certifies the renewable energy sources used to generate traded electricity. Finally, the proposed marketplace incorporates privacy-preserving features, allowing it to generate private transactions and store them within a designated group of actors. Performance evaluation results of HB-based marketplace with three main consensus mechanisms for private networks, i. e., Clique, IBFT 2.0, and QBFT, demonstrate a lower throughput than another popular private permissioned blockchain platform Hyperledger Fabric (HF). However, the lower throughput is a side effect of the Byzantine Fault Tolerant characteristics of HB's consensus mechanisms, i. e., IBFT 2.0 and QBFT, which provide increased security compared to HF's Crash Fault Tolerant consensus RAFT. © 2023 IEEE.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2023
Keywords
Blockchain Technology, Data Privacy, Hyperledger Besu, Peer-To-Peer Energy Trading, Renewable Energy Marketplace, Distributed ledger, Energy policy, Fault tolerance, Power markets, Privacy-preserving techniques, Renewable energy resources, Block-chain, Decentralised, Energy trading, Hyperledg besu, Peer to peer, Performance, Renewable energies, Blockchain
National Category
Computer Sciences
Identifiers
urn:nbn:se:bth-24459 (URN)10.1109/ICIN56760.2023.10073510 (DOI)001006975300031 ()2-s2.0-85151998681 (Scopus ID)9798350398045 (ISBN)
Conference
26th Conference on Innovation in Clouds, Internet and Networks, ICIN 2023, Paris, 6 March through 9 March 2023
Funder
Knowledge Foundation, 20190111
Available from: 2023-04-21 Created: 2023-04-21 Last updated: 2023-08-11Bibliographically approved
Tkachuk, R.-V., Ilie, D., Robert, R., Kebande, V. R. & Tutschku, K. (2023). Towards Efficient Privacy and Trust in Decentralized Blockchain-Based Peer-to-Peer Renewable Energy Marketplace. Sustainable Energy, Grids and Networks, 35, Article ID 101146.
Open this publication in new window or tab >>Towards Efficient Privacy and Trust in Decentralized Blockchain-Based Peer-to-Peer Renewable Energy Marketplace
Show others...
2023 (English)In: Sustainable Energy, Grids and Networks, E-ISSN 2352-4677, Vol. 35, article id 101146Article in journal (Refereed) Published
Abstract [en]

Renewable energy sources are becoming increasingly important as a substitute for fossil energy production. However, distributed renewable energy production faces several challenges regarding trading and management, such as inflexible pricing models and inaccurate green consumption information. A decentralized peer-to-peer (P2P) electricity marketplace may address these challenges. It enables prosumers to market their self-produced electricity. However, such a marketplace needs to guarantee that the transactions follow market rules and government regulations, cannot be manipulated, and are consistent with the generated electricity. One of the ways to provide these guarantees is to leverage blockchain technology.

This work describes a decentralized blockchain-based P2P energy marketplace addressing privacy, trust, and governance issues. It uses a private permissioned blockchain Hyperledger Fabric (HF) and its smart contracts to perform energy trading settlements. The suggested P2P marketplace includes a particular regulator actor acting as a governmental representative overseeing marketplace operations. In this way, the suggested P2P marketplace can address the governance issues needed in electricity marketplaces. Further, the proposed marketplace ensures actors’ data privacy by employing HF’s private data collections while preserving the integrity and auditability of all operations. We present an in-depth performance evaluation and provide insights into the security and privacy challenges emerging from such a marketplace. The results demonstrate that partial centralization by the applied regulator does not limit the P2P energy trade settlement execution. Blockchain technology allows for automated marketplace operations enabling better incentives for prosumer electricity production. Finally, the suggested marketplace preserves the user’s privacy when P2P energy trade settlements are conducted.

Place, publisher, year, edition, pages
Elsevier, 2023
Keywords
Renewable Energy Marketplace, Blockchain Technology, Peer-To-Peer Energy Trading, Hyperledger Fabric, Data Privacy
National Category
Computer Sciences Energy Systems
Research subject
Computer Science
Identifiers
urn:nbn:se:bth-24766 (URN)10.1016/j.segan.2023.101146 (DOI)001068745600001 ()
Available from: 2023-06-08 Created: 2023-06-08 Last updated: 2023-10-18Bibliographically approved
Horner, L. J., Tutschku, K. & Fumagalli, A. (2023). Virtualizing 5G and Beyond 5G Mobile Network. Artech House
Open this publication in new window or tab >>Virtualizing 5G and Beyond 5G Mobile Network
2023 (English)Book (Other academic)
Abstract [en]

The fifth generation (5G) mobile network brings significant new capacity and opportunity to network operators while also creating new challenges and additional pressure to build and operate networks differently. The transformation to 5G mobile networks creates the opportunity to virtualize significant portions of the radio access (RAN) and network core, allowing operators to better compete with over-the-top and hyperscaler offerings. This book covers the business and technical areas of virtualization that enable the transformation and innovation that today’s operators are seeking. It identifies forward-looking gaps where the technology continues to develop, specifically packet acceleration and timing requirements, which today are still not fully virtualized. The book shows you the operational and support considerations, development and lifecycle management, business implications, and vendor-team dynamics involved in deploying a virtualized network. Packed with key concepts of virtualization that solve a broad array of problems, this is an essential reference for those entering this technical domain, those that are going to build and operate these networks, and those that are seeking to learn more about the telecom network. It illustrates why you just can’t do it all in the cloud today.

Place, publisher, year, edition, pages
Artech House, 2023. p. 410
National Category
Communication Systems
Identifiers
urn:nbn:se:bth-24475 (URN)9781630819309 (ISBN)
Funder
Knowledge Foundation, 20220068
Available from: 2023-04-27 Created: 2023-04-27 Last updated: 2023-04-27Bibliographically approved
Daliparthi, V. S., Momen, N., Tutschku, K. & De Prado, M. (2023). ViSDM 1.0: Vision Sovereignty Data Marketplace a Decentralized Platform for Crowdsourcing Data Collection and Trading. In: ACM International Conference Proceeding Series: . Paper presented at 3rd ACM Conference on Information Technology for Social Good, GoodIT 2023Lisbon6 September through 8 September 2023 (pp. 374-383). Association for Computing Machinery (ACM)
Open this publication in new window or tab >>ViSDM 1.0: Vision Sovereignty Data Marketplace a Decentralized Platform for Crowdsourcing Data Collection and Trading
2023 (English)In: ACM International Conference Proceeding Series, Association for Computing Machinery (ACM), 2023, p. 374-383Conference paper, Published paper (Refereed)
Abstract [en]

The demand for large-scale diverse datasets is rapidly increasing due to the advancements in AI services impacting day-to-day life. However, gathering such massive datasets still remains a critical challenge in the AI service engineering pipeline, especially in the computer vision domain where labeled data is scarce. Rather than isolated data collection, crowdsourcing techniques have shown promising potential to achieve the data collection task in a time and cost-efficient manner. In the existing crowdsourcing marketplaces, the crowd works to fulfill consumer-defined requirements where in the end consumer gains the data ownership and the crowd is compensated with task-based payment. On the contrary, this work proposes a blockchain-based decentralized marketplace named Vision Sovereignty Data Marketplace (ViSDM), in which the crowd works to fulfill global requirements & holds data ownership, the consumers pay a certain data price to perform a computing task (model training/testing), the data price is distributed among the crowd in a one-to-many manner through smart contracts, thus allowing the crowd to gain profit from each consumer transaction occurring on their data. The marketplace is implemented as multiple smart contracts and is evaluated based on blockchain-transaction gas fees for the stakeholder interaction & by running scenarios-based simulations. Furthermore, discussions address the challenges included in maintaining data quality and the future milestones towards deployment. © 2023 Owner/Author.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2023
Keywords
Blockchain, Computer Vision, Crowdsourcing, Data Marketplaces, Smart Contracts, Commerce, Data acquisition, Large dataset, Block-chain, Critical challenges, Data collection, Data ownership, Decentralised, Labeled data, Large-scales, Massive data sets, Services engineering, Smart contract
National Category
Information Systems
Identifiers
urn:nbn:se:bth-25507 (URN)10.1145/3582515.3609556 (DOI)2-s2.0-85174318507 (Scopus ID)9798400701160 (ISBN)
Conference
3rd ACM Conference on Information Technology for Social Good, GoodIT 2023Lisbon6 September through 8 September 2023
Funder
Knowledge Foundation, 20220068EU, Horizon 2020, 101015848
Available from: 2023-10-31 Created: 2023-10-31 Last updated: 2023-10-31Bibliographically approved
Daliparthi, V. S., Momen, N., Tutschku, K. & De Prado, M. (2023). ViSDM: A Liquid Democracy based Visual Data Marketplace for Sovereign Crowdsourcing Data Collection. In: ACM International Conference Proceeding Series: . Paper presented at 2023 European Interdisciplinary Cybersecurity Conference, EICC 2023, Stavanger, 14 June 2023 through 15 June 2023 (pp. 108-115). Association for Computing Machinery (ACM)
Open this publication in new window or tab >>ViSDM: A Liquid Democracy based Visual Data Marketplace for Sovereign Crowdsourcing Data Collection
2023 (English)In: ACM International Conference Proceeding Series, Association for Computing Machinery (ACM), 2023, p. 108-115Conference paper, Published paper (Refereed)
Abstract [en]

The size and diversity of the training datasets directly influences the decision-making process of AI models. Therefore, there is an immense need for massive and diverse datasets to enhance the deployment process of AI applications. Crowdsourcing marketplaces provide a fast and reliable alternative to the laborious data collection process. However, the existing crowdsourcing marketplaces are either centralized or do not fully provide data sovereignty. By contrast, this work proposes a decentralized crowdsourcing platform through prototypical implementation along with active involvement of business entities, that grants the users sovereignty over their collected data, named as Vision-Sovereignty Data Marketplace (ViSDM). This work contributes to the data marketplaces landscape by introducing (i) A liquid democracy-based voting system to negotiate prices between a buyer and multiple data owners, (ii) An automated AI-Based per-sample value calculation function to evaluate the data and distribute profit among the data owners. © 2023 Owner/Author.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2023
Keywords
Blockchain, Computer Vision, Crowdsourcing Data Collection, Data Marketplaces, Smart Contracts, Commerce, Crowdsourcing, Data acquisition, Decision making, AI applications, Block-chain, Data collection, Data collection process, Decision-making process, Deployment process, Training dataset, Visual data, Smart contract
National Category
Computer Sciences
Identifiers
urn:nbn:se:bth-24967 (URN)10.1145/3590777.3590794 (DOI)2-s2.0-85161358535 (Scopus ID)9781450398299 (ISBN)
Conference
2023 European Interdisciplinary Cybersecurity Conference, EICC 2023, Stavanger, 14 June 2023 through 15 June 2023
Funder
EU, Horizon 2020, 101015848Knowledge Foundation, 20220068
Available from: 2023-06-27 Created: 2023-06-27 Last updated: 2023-06-27Bibliographically approved
Tkachuk, R.-V., Ilie, D., Tutschku, K. & Robert, R. (2022). A Survey on Blockchain-based Telecommunication Services Marketplaces. IEEE Transactions on Network and Service Management, 19(1), 228-255
Open this publication in new window or tab >>A Survey on Blockchain-based Telecommunication Services Marketplaces
2022 (English)In: IEEE Transactions on Network and Service Management, ISSN 1932-4537, E-ISSN 1932-4537, Vol. 19, no 1, p. 228-255Article in journal (Refereed) Published
Abstract [en]

Digital marketplaces were created recently to accelerate the delivery of applications and services to customers. Their appealing feature is to activate and dynamize the demand, supply, and development of digital goods, applications, or services. By being an intermediary between producer and consumer, the primary business model for a marketplace is to charge the producer with a commission on the amount paid by the consumer. However, most of the time, the commission is dictated by the marketplace facilitator itself and creates an imbalance in value distribution, where producer and consumer sides suffer monetarily. In order to eliminate the need for a centralized entity between the producer and consumer, a blockchain-based decentralized digital marketplace concept was introduced. It provides marketplace actors with the tools to perform business transactions in a trusted manner and without the need for an intermediary. In this work, we provide a survey on Telecommunication Services Marketplaces (TSMs) which employ blockchain technology as the main trust enabling entity in order to avoid any intermediaries. We provide an overview of scientific and industrial proposals on the blockchain-based online digital marketplaces at large, and TSMs in particular. We consider in this study the notion of telecommunication services as any service enabling the capability for information transfer and, increasingly, information processing provided to a group of users by a telecommunications system. We discuss the main standardization activities around the concepts of TSMs and provide particular use-cases for the TSM business transactions such as SLA settlement. Also, we provide insights into the main foundational services provided by the TSM, as well as a survey of the scientific and industrial proposals for such services. Finally, a prospect for future developments is given. Author

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc., 2022
Keywords
Blockchain Technology, Blockchains, Business, Communication Service Provider, Communications technology, Digital Marketplace, Distributed ledger, Distributed Ledger Technology., Internet of Things, Proposals, Telecommunication services, Telecommunication Services Marketplace, Blockchain, Surveys, Block-chain, Communication service, Communicationtechnology, Distributed ledg technology., Proposal, Service provider, Telecommunication service marketplace, Telecommunications services
National Category
Business Administration Computer Sciences
Identifiers
urn:nbn:se:bth-22381 (URN)10.1109/TNSM.2021.3123680 (DOI)000767855700018 ()2-s2.0-85118595494 (Scopus ID)
Funder
Knowledge Foundation, 20190111
Note

open access

Available from: 2021-11-19 Created: 2021-11-19 Last updated: 2023-06-08Bibliographically approved
Gedia, D., Martini, B., Parzyjegla, H., Caltais, G., Cerroni, W., Contoli, C., . . . Zhang, Y. (2022). NFV-SDN Doctoral Symposium. In: : . Paper presented at 14 November 2022 through 16 November 2022 (pp. XXXI-XXXII). Institute of Electrical and Electronics Engineers (IEEE)
Open this publication in new window or tab >>NFV-SDN Doctoral Symposium
Show others...
2022 (English)Conference paper, Published paper (Other academic)
Abstract [en]

We are pleased to welcome you to the 3rd symposium dedicated to PhD students which is taking place during the 8th IEEE NFV-SDN conference. The NFV-SDN Doctoral Symposium is committed to fostering collaboration amongst PhD students and experts from all communities researching and working in the areas of Network Function Virtualization (NFV) and Software Defined Networks (SDN). It offers a unique opportunity for PhD students to present their latest research results, discuss new research ideas, and to gather valuable expert feedback on their work from experienced researchers from both industry and academia. Moreover, it is a place for mentoring and to get in touch with student peers working in the same field.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2022
National Category
Computer Systems
Identifiers
urn:nbn:se:bth-24224 (URN)10.1109/NFV-SDN56302.2022.9974763 (DOI)2-s2.0-85145866282 (Scopus ID)
Conference
14 November 2022 through 16 November 2022
Note

Editorial

Available from: 2023-01-23 Created: 2023-01-23 Last updated: 2023-04-14Bibliographically approved
Horner, L., Tutschku, K., Bassoli, R., Bernados, C. J. & Esposito, F. (2022). Welcome from the NFV-SDN 2022 Chairs. In: Horner L., Tutschku K., Cano C.J.B., Bassoli R., Esposito F., Meuser T., Tkachuk R.-V. (Ed.), 2022 IEEE Conference on Network Function Virtualization and Software Defined Networks, NFV-SDN 2022 - Proceedings: . Paper presented at 2022 IEEE Conference on Network Function Virtualization and Software Defined Networks, NFV-SDN 2022, Chandler, 14 November 2022 through 16 November 2022 (pp. III-IV). Institute of Electrical and Electronics Engineers (IEEE)
Open this publication in new window or tab >>Welcome from the NFV-SDN 2022 Chairs
Show others...
2022 (English)In: 2022 IEEE Conference on Network Function Virtualization and Software Defined Networks, NFV-SDN 2022 - Proceedings / [ed] Horner L., Tutschku K., Cano C.J.B., Bassoli R., Esposito F., Meuser T., Tkachuk R.-V., Institute of Electrical and Electronics Engineers (IEEE), 2022, p. III-IVConference paper, Published paper (Other academic)
Abstract [en]

The 2022 IEEE NFV-SDN conference has committed itself to be one accelerator of the continuous exchange on the latest ideas, developments and results between all ecosystem partners in the academia and industry areas. The conference is highly encouraged to foster discussion on new approaches as well as dedicated work on missing aspects for improvements of NFV and SDN enabling architectures, algorithms, frameworks and operation of virtualized network functions, including container-based functions, and infrastructures. In addition to the latest NFV and SDN concepts and mechanisms, the 2022 IEEE NFV-SDN conference will focus on performance results as well as enhancements related to the use of machine learning in NFV and SDN networks, and improvements to data plane programmability.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2022
National Category
Computer Systems
Identifiers
urn:nbn:se:bth-24225 (URN)10.1109/NFV-SDN56302.2022.9974814 (DOI)2-s2.0-85145831625 (Scopus ID)
Conference
2022 IEEE Conference on Network Function Virtualization and Software Defined Networks, NFV-SDN 2022, Chandler, 14 November 2022 through 16 November 2022
Note

Editorial

Available from: 2023-01-23 Created: 2023-01-23 Last updated: 2023-01-23Bibliographically approved
Projects
Bonseyes – Platform for Open Development of Systems of Artificial Intelligence; Publications
Tkachuk, R.-V. (2023). Efficient Design of Decentralized Privacy and Trust in Distributed Digital Marketplaces. (Doctoral dissertation). Karlskrona: Blekinge Tekniska HögskolaTkachuk, R.-V., Ilie, D. & Tutschku, K. (2020). Towards a Secure Proxy-based Architecture for Collaborative AI Engineering. In: CANDAR 2020: International Symposium on Computing and Networking: . Paper presented at th International Symposium on Computing and Networking Workshops, CANDARW 2020; Virtual, Naha, Japan, 24 November 2020 through 27 November 2020 (pp. 373-379). IEEE, Article ID 9355887. Tutschku, K., Horner, L., Granelli, F., Sekiya, Y., Tacca, M., Bhanare, D. & Helge, P. (Eds.). (2019). Proceedings of the 2019 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN2019). Paper presented at 2019 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN), Dallas.. IEEE Communications Society
Symphony – Supply-and-Demand-based Service Exposure using Robust Distributed Concepts [20190111]; Blekinge Institute of Technology; Publications
Kebande, V. R. & Awad, A. I. (2024). Industrial Internet of Things Ecosystems Security and Digital Forensics: Achievements, Open Challenges, and Future Directions. ACM Computing Surveys, 56(5), Article ID 131. Kebande, V. R. & Ding, J. (2023). Blockchain-Enabled Renewable Energy Traceability with a Crypto-based Arbitrage Pricing Model. In: Quwaider M., Awaysheh F.M., Jararweh Y. (Ed.), 8th International Conference on Fog and Mobile Edge Computing, FMEC 2023: . Paper presented at 8th International Conference on Fog and Mobile Edge Computing, FMEC 2023, Tartu, 18/9- 20/9 2023 (pp. 34-41). Institute of Electrical and Electronics Engineers (IEEE)Tkachuk, R.-V. (2023). Efficient Design of Decentralized Privacy and Trust in Distributed Digital Marketplaces. (Doctoral dissertation). Karlskrona: Blekinge Tekniska HögskolaShamshad, H., Ullah, F., Ullah, A., Kebande, V. R., Ullah, S. & Al-Dhaqm, A. (2023). Forecasting and Trading of the Stable Cryptocurrencies With Machine Learning and Deep Learning Algorithms for Market Conditions. IEEE Access, 11, 122205-122220Tkachuk, R.-V., Ilie, D., Robert, R., Kebande, V. R. & Tutschku, K. (2023). On the Performance and Scalability of Consensus Mechanisms in Privacy-Enabled Decentralized Renewable Energy Marketplace. Annales des télécommunicationsTkachuk, R.-V., Ilie, D., Robert, R., Kebande, V. R. & Tutschku, K. (2023). On the Performance of Consensus Mechanisms in Privacy-Enabled Decentralized Peer-to-Peer Renewable Energy Marketplace. In: Lopez D., Montpetit M.-J., Cerroni W., Di Mauro M., Borylo P. (Ed.), Proceedings of the 26th Conference on Innovation in Clouds, Internet and Networks, ICIN 2023: . Paper presented at 26th Conference on Innovation in Clouds, Internet and Networks, ICIN 2023, Paris, 6 March through 9 March 2023 (pp. 179-186). Institute of Electrical and Electronics Engineers (IEEE)Tkachuk, R.-V., Ilie, D., Robert, R., Kebande, V. R. & Tutschku, K. (2023). Towards Efficient Privacy and Trust in Decentralized Blockchain-Based Peer-to-Peer Renewable Energy Marketplace. Sustainable Energy, Grids and Networks, 35, Article ID 101146. Tkachuk, R.-V., Ilie, D., Tutschku, K. & Robert, R. (2022). A Survey on Blockchain-based Telecommunication Services Marketplaces. IEEE Transactions on Network and Service Management, 19(1), 228-255Tkachuk, R.-V., Ilie, D. & Tutschku, K. (2021). Decentralized Blockchain-based Telecommunication Services Marketplaces: Tutorial presentation. In: IEEE International Conference on Network Softwarization (IEEE NetSoft 2021): . Paper presented at The 7th IEEE International Conference on Network Softwarization, Tokyo, June 28 to July 2, 2021. Tkachuk, R.-V., Ilie, D., Robert, R., Tutschku, K. & Kebande, V. R.On the Application of Enterprise Blockchains in Decentralized Renewable Energy Marketplaces.
BonsApps: AI-as-a-Service for the Deep Edge
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0003-4814-4428

Search in DiVA

Show all publications