TY - JOUR
T1 - Joint Modeling of Hyperledger Fabric and Sybil attack
T2 - Petri Net approach
AU - La Salle, Axel
AU - Kumar, Anil
AU - Jevtić, Petar
AU - Boscovic, Dragan
N1 - Publisher Copyright:
© 2022 Elsevier B.V.
PY - 2023/1
Y1 - 2023/1
N2 - Hyperledger Fabric (HLF) is an open-source enterprise-grade permissioned distributed ledger technology (DLT) platform whose use is accelerating and finding its place in the operations of some of the world's largest enterprises. It is foreseeable that current and future economic transactions channeled through this technology will be under considerable cyber risk. Regretfully, the present state of academic literature that concerns modeling HLF, understanding the mechanisms of cyberattacks on HLF, and their interactions with HLF systems is sorely lacking. Thus, to address this lack of understanding and contribute to the literature, by using Petri Net mathematical formalism to model the transaction flow of HLF, this work examines the HLF behavior in the context of an ongoing cyberattack via simulation. First, a realistic model of HLF is presented and validated by leveraging parameters obtained from a deployed HLF test network. Second, this paper introduces a novel joint model of HLF under a Sybil attack scenario. The simulations of the Sybil attack span two dimensions: the model's parameters and the HLF network structure the attack involves. The numerical results of the simulations show for the first time in academic literature, at the transaction level, the impact of Sybil attacks on the HLF network performance. As a novel contribution of this work, the simulations illuminate the interplay between the structure of each, the HLF network, and the Sybil attack in the context of the resilience of HLF and the effectiveness of the Sybil attack.
AB - Hyperledger Fabric (HLF) is an open-source enterprise-grade permissioned distributed ledger technology (DLT) platform whose use is accelerating and finding its place in the operations of some of the world's largest enterprises. It is foreseeable that current and future economic transactions channeled through this technology will be under considerable cyber risk. Regretfully, the present state of academic literature that concerns modeling HLF, understanding the mechanisms of cyberattacks on HLF, and their interactions with HLF systems is sorely lacking. Thus, to address this lack of understanding and contribute to the literature, by using Petri Net mathematical formalism to model the transaction flow of HLF, this work examines the HLF behavior in the context of an ongoing cyberattack via simulation. First, a realistic model of HLF is presented and validated by leveraging parameters obtained from a deployed HLF test network. Second, this paper introduces a novel joint model of HLF under a Sybil attack scenario. The simulations of the Sybil attack span two dimensions: the model's parameters and the HLF network structure the attack involves. The numerical results of the simulations show for the first time in academic literature, at the transaction level, the impact of Sybil attacks on the HLF network performance. As a novel contribution of this work, the simulations illuminate the interplay between the structure of each, the HLF network, and the Sybil attack in the context of the resilience of HLF and the effectiveness of the Sybil attack.
KW - Blockchain
KW - Discrete event modeling
KW - Distributed Ledger Technology
KW - Hyperledger Fabric
KW - Petri net
KW - Simulation
UR - http://www.scopus.com/inward/record.url?scp=85141914278&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85141914278&partnerID=8YFLogxK
U2 - 10.1016/j.simpat.2022.102674
DO - 10.1016/j.simpat.2022.102674
M3 - Article
AN - SCOPUS:85141914278
SN - 1569-190X
VL - 122
JO - Simulation Modelling Practice and Theory
JF - Simulation Modelling Practice and Theory
M1 - 102674
ER -