Slim Kallel
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Slim Kallel has a total of 74 co-authors. Here are the top co-authors by number of shared publications:
Mohamed Jmaiel
ReDCAD, University of Sfax, Sfax, Tunisia
26 shared publicationsNawal Guermouche
LAAS-CNRS, Université de Toulouse, Toulouse, France
13 shared publications- Mohamed Jmaiel
ENIS, University of Sfax
11 shared publications Saoussen Cheikhrouhou
ReDCAD, University of Sfax, Sfax, Tunisia
11 shared publicationsAhmed Hadj Kacem
ReDCAD Laboratory University of Sfax Sfax Tunisia
10 shared publications- Saoussen Cheikhrouhou
University of Sfax, Sfax, Tunisia
9 shared publications
Latest Publications
- 4 November 2026
- Published by Elsevier in Information and Software Technology
Editorial: Special issue on Artificial Intelligence and Service-Oriented Computing
- 4 November 2026
- Published by Elsevier in Information and Software Technology
Editorial: Special issue on Artificial Intelligence and Service-Oriented Computing
- 1 June 2026
- Published by Springer Nature
- p. 224-236
AI-Augmented MBSE for Ontology-Driven Digital Twin Systems Interoperability
- 1 June 2026
- Published by Springer Nature
- p. 224-236
AI-Augmented MBSE for Ontology-Driven Digital Twin Systems Interoperability
- 25 July 2025
- Published by Springer Nature
- p. 270-274
EduCheck: Ensuring Diploma Authenticity Using Blockchain Technology
- 25 July 2025
- Published by Springer Nature
- p. 270-274
EduCheck: Ensuring Diploma Authenticity Using Blockchain Technology
- 25 July 2025
- Published by Springer Nature
- p. 241-246
TraSSI: A Confidential Traceability System for Self-sovereign Identity-Based Processes
- 25 July 2025
- Published by Springer Nature
- p. 241-246
TraSSI: A Confidential Traceability System for Self-sovereign Identity-Based Processes
- 25 September 2024
- Published by Elsevier in Computer Standards & Interfaces
- Vol. 92
A privacy-preserving traceability system for self-sovereign identity-based inter-organizational business processes
- 25 September 2024
- Published by Elsevier in Computer Standards & Interfaces
- Vol. 92
A privacy-preserving traceability system for self-sovereign identity-based inter-organizational business processes
- 14 May 2023
- Published by Springer Nature
- p. 127-132
Towards a Secure Cross-Blockchain Smart Contract Architecture
- 14 May 2023
- Published by Springer Nature
- p. 127-132
Towards a Secure Cross-Blockchain Smart Contract Architecture
- 25 April 2023
- Published by Springer Nature in The Journal of Supercomputing
- Vol. 79 (14) , 16065-16097
A survey on automation approaches of smart contract generation
- 25 April 2023
- Published by Springer Nature in The Journal of Supercomputing
- Vol. 79 (14) , 16065-16097
A survey on automation approaches of smart contract generation
- 7 August 2022
- Published by Springer Nature in Service Oriented Computing and Applications
- Vol. 16 (4) , 263-278
A time interval-based approach for business process fragmentation over cloud and edge resources
- 7 August 2022
- Published by Springer Nature in Service Oriented Computing and Applications
- Vol. 16 (4) , 263-278
A time interval-based approach for business process fragmentation over cloud and edge resources
- Open Access
- 28 July 2021
- Published by Pensoft Publishers in JUCS - Journal of Universal Computer Science
- Vol. 27 (7) , 693-713
A Formal Model for Configurable Business Process with Optimal Cloud Resource Allocation
In today’s competitive business environments, organizations increasingly need to model and deploy flexible and cost effective business processes. In this context, configurable process models are used to offer flexibility by representing process variants in a generic manner. Hence, the behavior of similar variants is grouped in a single model holding configurable elements. Such elements are then customized and configured depending on specific needs. However, the decision to configure an element may be incorrect leading to critical behavioral errors. Recently, process configuration has been extended to include Cloud resources allocation, to meet the need of business scalability by allowing access to on-demand IT resources. In this work, we propose a formal model based on propositional satisfiability formula allowing to find correct elements configuration including resources allocation ones. In addition, we propose to select optimal con- figurations based on Cloud resources cost. This approach allows to provide the designers with correct and cost-effective configuration decisions.
- 28 July 2021
- Published by Pensoft Publishers in JUCS - Journal of Universal Computer Science
- Vol. 27 (7) , 693-713
Open AccessA Formal Model for Configurable Business Process with Optimal Cloud Resource Allocation
In today’s competitive business environments, organizations increasingly need to model and deploy flexible and cost effective business processes. In this context, configurable process models are used to offer flexibility by representing process variants in a generic manner. Hence, the behavior of similar variants is grouped in a single model holding configurable elements. Such elements are then customized and configured depending on specific needs. However, the decision to configure an element may be incorrect leading to critical behavioral errors. Recently, process configuration has been extended to include Cloud resources allocation, to meet the need of business scalability by allowing access to on-demand IT resources. In this work, we propose a formal model based on propositional satisfiability formula allowing to find correct elements configuration including resources allocation ones. In addition, we propose to select optimal con- figurations based on Cloud resources cost. This approach allows to provide the designers with correct and cost-effective configuration decisions.
- 18 May 2021
- Published by Wiley in Software: Practice and Experience
- Vol. 52 (4) , 841-867
NovidChain: Blockchain‐based privacy‐preserving platform for COVID‐19 test/vaccine certificates
The COVID‐19 pandemic has emerged as a highly transmissible disease which has caused a disastrous impact worldwide by adversely affecting the global economy, health, and human lives. This sudden explosion and uncontrolled worldwide spread of COVID‐19 has revealed the limitations of existing healthcare systems regarding handling public health emergencies. As governments seek to effectively re‐establish their economies, open workplaces, ensure safe travels and progressively return to normal life, there is an urgent need for technologies that may alleviate the severity of the losses. This article explores a promising solution for secure Digital Health Certificate, called NovidChain, a Blockchain‐based privacy‐preserving platform for COVID‐19 test/vaccine certificates issuing and verifying. More precisely, NovidChain incorporates several emergent concepts: (i) Blockchain technology to ensure data integrity and immutability, (ii) self‐sovereign identity to allow users to have complete control over their data, (iii) encryption of Personally Identifiable Information to enhance privacy, (iv) W3C verifiable credentials standard to facilitate instant verification of COVID‐19 proof, and (v) selective disclosure concept to permit user to share selected pieces of information with trusted parties. Therefore, NovidChain is designed to meet a high level of protection of personal data, in compliant with the GDPR and KYC requirements, and guarantees the user's self‐sovereignty, while ensuring both the safety of populations and the user's right to privacy. To prove the security and efficiency of the proposed NovidChain platform, this article also provides a detailed technical description, a proof‐of‐concept implementation, different experiments, and a comparative evaluation. The evaluation shows that NovidChain provides better financial cost and scalability results compared to other solutions. More precisely, we note a high difference in time between operations (i.e., between 46% and 56%). Furthermore, the evaluation confirms that NovidChain ensures security properties, particularly data integrity, forge, binding, uniqueness, peer‐indistinguishability, and revocation.
- 18 May 2021
- Published by Wiley in Software: Practice and Experience
- Vol. 52 (4) , 841-867
NovidChain: Blockchain‐based privacy‐preserving platform for COVID‐19 test/vaccine certificates
The COVID‐19 pandemic has emerged as a highly transmissible disease which has caused a disastrous impact worldwide by adversely affecting the global economy, health, and human lives. This sudden explosion and uncontrolled worldwide spread of COVID‐19 has revealed the limitations of existing healthcare systems regarding handling public health emergencies. As governments seek to effectively re‐establish their economies, open workplaces, ensure safe travels and progressively return to normal life, there is an urgent need for technologies that may alleviate the severity of the losses. This article explores a promising solution for secure Digital Health Certificate, called NovidChain, a Blockchain‐based privacy‐preserving platform for COVID‐19 test/vaccine certificates issuing and verifying. More precisely, NovidChain incorporates several emergent concepts: (i) Blockchain technology to ensure data integrity and immutability, (ii) self‐sovereign identity to allow users to have complete control over their data, (iii) encryption of Personally Identifiable Information to enhance privacy, (iv) W3C verifiable credentials standard to facilitate instant verification of COVID‐19 proof, and (v) selective disclosure concept to permit user to share selected pieces of information with trusted parties. Therefore, NovidChain is designed to meet a high level of protection of personal data, in compliant with the GDPR and KYC requirements, and guarantees the user's self‐sovereignty, while ensuring both the safety of populations and the user's right to privacy. To prove the security and efficiency of the proposed NovidChain platform, this article also provides a detailed technical description, a proof‐of‐concept implementation, different experiments, and a comparative evaluation. The evaluation shows that NovidChain provides better financial cost and scalability results compared to other solutions. More precisely, we note a high difference in time between operations (i.e., between 46% and 56%). Furthermore, the evaluation confirms that NovidChain ensures security properties, particularly data integrity, forge, binding, uniqueness, peer‐indistinguishability, and revocation.