Slide
Centre Interdisciplinaire
de Recherche et d’Innovation
en Cybersécurité et Société
de Recherche et d’Innovation
en Cybersécurité et Société
1.
Moudoud, H.; Houda, Z. A. El; Brik, B.
A Blockchain-Based Cross-Domain DDoS Mitigation in Consumer Networks Journal Article
In: IEEE Transactions on Consumer Electronics, vol. 71, no. 2, pp. 7095–7104, 2025, ISSN: 00983063 (ISSN).
Abstract | Links | BibTeX | Tags: Block-chain, Blockchain, Consumer network, Denial-of-service attack, digital twins, Distributed denial of service, Edge Computing, Fuzzy logic, Fuzzy-Logic, Inter-domain, Internet service providers, Network function virtualization, Network functions, NFV, Platform as a Service (PaaS), Resources sharing, SDN, Software-defined networkings, Virtualizations
@article{moudoudBlockchainBasedCrossDomainDDoS2025,
title = {A Blockchain-Based Cross-Domain DDoS Mitigation in Consumer Networks},
author = {H. Moudoud and Z. A. El Houda and B. Brik},
url = {https://www.scopus.com/pages/publications/105002613162?origin=resultslist},
doi = {10.1109/TCE.2025.3559451},
issn = {00983063 (ISSN)},
year = {2025},
date = {2025-01-01},
journal = {IEEE Transactions on Consumer Electronics},
volume = {71},
number = {2},
pages = {7095–7104},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {Distributed Denial of Service (DDoS) attacks pose significant threats to the availability and security of consumer networks and Internet service providers (ISPs). This is a significant concern due to the potential vulnerabilities and security risks associated with the rapid increase in the number of insecure Internet of Things (IoT) devices. Adopting an inter-domain DDoS collaboration strategy is a promising solution to address this issue. However, manual configuration and management of resources across multiple domains can be time-consuming, error-prone, and inefficient. Moreover, the existing inter-domain DDoS mitigation mechanisms (i.e., Cooperative Defense mechanisms) are facing obstacles due to the lack of incentives for cooperation, low flexibility, and high cost. Most importantly, many of them are centralized, which risks single points of failure, hampering collaboration and resource sharing among Autonomous Systems (ASs). The new emerging techniques, such as Digital-Twin (DT) empowered by Network Function Virtualization (NFV), Software-Defined Networking (SDN), and Blockchain introduce new opportunities for efficient and flexible inter-domain DDoS collaboration i.e., resources sharing among multiple SDN-based domains. In this context, we propose SecureShare, a novel digital twin-enabled inter-domain DDoS mitigation framework that allows for an efficient, fair, and secure dynamic resource-sharing among SDN-based domains to deal with large-scale DDoS attacks through resource sharing. The deployment of SecureShare is executed within Ethereum’s test network, Sepolia. Furthermore, we performed extensive experiments employing Microsoft Azure Digital Twins (ADT), a platform-as-a-service tool for generating twin graphs of physical objects. The experimental results show that SecureShare achieves promising results in terms of efficiency, security, and flexibility. © 1975-2011 IEEE.},
keywords = {Block-chain, Blockchain, Consumer network, Denial-of-service attack, digital twins, Distributed denial of service, Edge Computing, Fuzzy logic, Fuzzy-Logic, Inter-domain, Internet service providers, Network function virtualization, Network functions, NFV, Platform as a Service (PaaS), Resources sharing, SDN, Software-defined networkings, Virtualizations},
pubstate = {published},
tppubtype = {article}
}
Distributed Denial of Service (DDoS) attacks pose significant threats to the availability and security of consumer networks and Internet service providers (ISPs). This is a significant concern due to the potential vulnerabilities and security risks associated with the rapid increase in the number of insecure Internet of Things (IoT) devices. Adopting an inter-domain DDoS collaboration strategy is a promising solution to address this issue. However, manual configuration and management of resources across multiple domains can be time-consuming, error-prone, and inefficient. Moreover, the existing inter-domain DDoS mitigation mechanisms (i.e., Cooperative Defense mechanisms) are facing obstacles due to the lack of incentives for cooperation, low flexibility, and high cost. Most importantly, many of them are centralized, which risks single points of failure, hampering collaboration and resource sharing among Autonomous Systems (ASs). The new emerging techniques, such as Digital-Twin (DT) empowered by Network Function Virtualization (NFV), Software-Defined Networking (SDN), and Blockchain introduce new opportunities for efficient and flexible inter-domain DDoS collaboration i.e., resources sharing among multiple SDN-based domains. In this context, we propose SecureShare, a novel digital twin-enabled inter-domain DDoS mitigation framework that allows for an efficient, fair, and secure dynamic resource-sharing among SDN-based domains to deal with large-scale DDoS attacks through resource sharing. The deployment of SecureShare is executed within Ethereum’s test network, Sepolia. Furthermore, we performed extensive experiments employing Microsoft Azure Digital Twins (ADT), a platform-as-a-service tool for generating twin graphs of physical objects. The experimental results show that SecureShare achieves promising results in terms of efficiency, security, and flexibility. © 1975-2011 IEEE.
2.
Davoust, A.; Floyd, M. W.; Esfandiari, B.
Use of fuzzy histograms to model the spatial distribution of objects in case-based reasoning Journal Article
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5032 LNAI, pp. 72–83, 2008, ISSN: 03029743, (ISBN: 3540688218; 9783540688211 Place: Windsor).
Abstract | Links | BibTeX | Tags: Ad hoc networks, Case based reasoning, Computer Simulation, Fuzzy Histograms, Fuzzy logic, Fuzzy sets, Mathematical models, Soccer Simulation, Software agents
@article{davoust_use_2008,
title = {Use of fuzzy histograms to model the spatial distribution of objects in case-based reasoning},
author = {A. Davoust and M. W. Floyd and B. Esfandiari},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-44649181663&doi=10.1007%2f978-3-540-68825-9_8&partnerID=40&md5=2d0164da55518a67bd43a88e53bf4afc},
doi = {10.1007/978-3-540-68825-9_8},
issn = {03029743},
year = {2008},
date = {2008-01-01},
journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
volume = {5032 LNAI},
pages = {72–83},
abstract = {In the context of the RoboCup Simulation League, we describe a new representation of a software agent's visual perception ("scene"), well suited for case-based reasoning. Most existing representations use either heterogeneous, manually selected features of the scene, or the raw list of visible objects, and use ad hoc similarity measures for CBR. Our representation is based on histograms of objects over a partition of the scene space. This method transforms a list of objects into an image-like representation with customizable granularity, and uses fuzzy logic to smoothen boundary effects of the partition. We also introduce a new similarity metric based on the Jaccard Coefficient, to compare scenes represented by such histograms. We present our implementation of this approach in a case-based reasoning project, and experimental results showing highly efficient scene comparison. © 2008 Springer-Verlag Berlin Heidelberg.},
note = {ISBN: 3540688218; 9783540688211
Place: Windsor},
keywords = {Ad hoc networks, Case based reasoning, Computer Simulation, Fuzzy Histograms, Fuzzy logic, Fuzzy sets, Mathematical models, Soccer Simulation, Software agents},
pubstate = {published},
tppubtype = {article}
}
In the context of the RoboCup Simulation League, we describe a new representation of a software agent's visual perception ("scene"), well suited for case-based reasoning. Most existing representations use either heterogeneous, manually selected features of the scene, or the raw list of visible objects, and use ad hoc similarity measures for CBR. Our representation is based on histograms of objects over a partition of the scene space. This method transforms a list of objects into an image-like representation with customizable granularity, and uses fuzzy logic to smoothen boundary effects of the partition. We also introduce a new similarity metric based on the Jaccard Coefficient, to compare scenes represented by such histograms. We present our implementation of this approach in a case-based reasoning project, and experimental results showing highly efficient scene comparison. © 2008 Springer-Verlag Berlin Heidelberg.
3.
Davoust, A.; Floyd, M. W.; Esfandiari, B.
Use of fuzzy histograms to model the spatial distribution of objects in case-based reasoning Journal Article
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5032 LNAI, pp. 72–83, 2008, ISSN: 03029743, (ISBN: 3540688218; 9783540688211 Place: Windsor).
Abstract | Links | BibTeX | Tags: Ad hoc networks, Case based reasoning, Computer Simulation, Fuzzy Histograms, Fuzzy logic, Fuzzy sets, Mathematical models, Soccer Simulation, Software agents
@article{davoustUseFuzzyHistograms2008,
title = {Use of fuzzy histograms to model the spatial distribution of objects in case-based reasoning},
author = {A. Davoust and M. W. Floyd and B. Esfandiari},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-44649181663&doi=10.1007%2f978-3-540-68825-9_8&partnerID=40&md5=2d0164da55518a67bd43a88e53bf4afc},
doi = {10.1007/978-3-540-68825-9_8},
issn = {03029743},
year = {2008},
date = {2008-01-01},
journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
volume = {5032 LNAI},
pages = {72–83},
abstract = {In the context of the RoboCup Simulation League, we describe a new representation of a software agent's visual perception ("scene"), well suited for case-based reasoning. Most existing representations use either heterogeneous, manually selected features of the scene, or the raw list of visible objects, and use ad hoc similarity measures for CBR. Our representation is based on histograms of objects over a partition of the scene space. This method transforms a list of objects into an image-like representation with customizable granularity, and uses fuzzy logic to smoothen boundary effects of the partition. We also introduce a new similarity metric based on the Jaccard Coefficient, to compare scenes represented by such histograms. We present our implementation of this approach in a case-based reasoning project, and experimental results showing highly efficient scene comparison. © 2008 Springer-Verlag Berlin Heidelberg.},
note = {ISBN: 3540688218; 9783540688211
Place: Windsor},
keywords = {Ad hoc networks, Case based reasoning, Computer Simulation, Fuzzy Histograms, Fuzzy logic, Fuzzy sets, Mathematical models, Soccer Simulation, Software agents},
pubstate = {published},
tppubtype = {article}
}
In the context of the RoboCup Simulation League, we describe a new representation of a software agent's visual perception ("scene"), well suited for case-based reasoning. Most existing representations use either heterogeneous, manually selected features of the scene, or the raw list of visible objects, and use ad hoc similarity measures for CBR. Our representation is based on histograms of objects over a partition of the scene space. This method transforms a list of objects into an image-like representation with customizable granularity, and uses fuzzy logic to smoothen boundary effects of the partition. We also introduce a new similarity metric based on the Jaccard Coefficient, to compare scenes represented by such histograms. We present our implementation of this approach in a case-based reasoning project, and experimental results showing highly efficient scene comparison. © 2008 Springer-Verlag Berlin Heidelberg.