A Practical Byzantine-Based Approach for Faulty Switch Tolerance in Software-Defined Networks

Yuan, Bin; Jin, Hai; Zou, Deqing; Yang, Laurence T.; Yu, Shui

doi:10.1109/tnsm.2018.2822668

Cited by 22 publications

(30 citation statements)

References 48 publications

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“…While no solution exists to resolve the rational behavior of compromised switches i.e., being a malicious agent, it will try to hide its presence to induce maximum damage. Hence, we provide a hypervisor-based dynamic bayesian game-theoretic IDS for vSDN, which eliminates the need for an additional layer of the limited functionality [17] and allocates monitoring resources to vSDN controllers efficiently. Overall, the existing methods seek to maintain the performance of the overloaded network by adding more to the consumption of resources.…”

Section: Discussionmentioning

confidence: 99%

“…To address the limitation mentioned above of incorrect information of flow statistics from the faulty switches, a Byzantine model-based prototype is proposed in the [17]. The objective of this model is to tolerate faulty switches automatically.…”

Section: ) Statistical Based Mechanismsmentioning

confidence: 99%

“…Case-II: σ D = {a 0 } for the attacker while σ H = {NotMonitor}. If the hypervisor decides to remain idle the best response of the attacker is to attack; this will lead us to the case when ( 16)>( 17) or ( 18) > (17). Therefore, there is no pure strategy Nash equilibrium in either of the above cases.…”

Section: A Pure Strategy Equilibrium Analysismentioning

confidence: 99%

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A Bayesian Game-Theoretic Intrusion Detection System for Hypervisor-Based Software Defined Networks in Smart Grids

Niazi

Faheem

2019

IEEE Access

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The future smart grids (SGs) require advanced capabilities in terms of automation, processing, monitoring, and communication. The most crucial component in the successful sustainability of SGs is communication management. In the vSDNs, a hypervisor is implemented between a physical infrastructure and a control plane that abstracts the underlying SDN infrastructure into multiple isolated virtual slices, i.e., we can have multiple vSDNs each with its controller. For that purpose, the virtualized SDNs offer a promising solution as they offer better network management, programmability, and virtualization. However, vSDN-based SGs are prone to many security issues. To disturb operations of the SGs, the security of the vSDN can be compromised by manipulating the jeopardized switches in the DDoS attacks to repress the resources of vSDN controllers. To prevent the exploitation of a vSDN-based SG architecture and preserve its limited resources, this paper formulates the strategic interaction between a hypervisor monitoring its vSDN controllers and the source of new flow requests potentially launching a DDoS attack, via compromised switches, as a non-cooperative dynamic Bayesian game of intrusion detection. Our game model enables a hypervisor to distribute its limited resources to monitor guest vSDN controllers optimally. The performance evaluation via simulations shows that our game model enables a hypervisor not only to increase the probability of detecting distributed attacks and minimize false positives but at the same time, its monitoring costs get reduced as the allocation of resources to monitor vSDN controllers depends upon its belief about the source of the attacks that it forms based on its observation.INDEX TERMS Software-defined networks, smart grids, DDoS attacks, hypervisor, Bayesian game theory.

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Section: Discussionmentioning

confidence: 99%

Section: ) Statistical Based Mechanismsmentioning

confidence: 99%

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A Bayesian Game-Theoretic Intrusion Detection System for Hypervisor-Based Software Defined Networks in Smart Grids

Niazi

Faheem

2019

IEEE Access

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“…At present, the equation algorithm can no longer be well applied to the new blockchain environment, so the existing equation algorithm has to be improved. The practical byzantine fault tolerance (PBFT) algorithm can reduce the complexity of the original byzantine fault tolerance algorithm while improving the calculation efficiency without influence on the security of the algorithm [32,33]. However, the PBFT algorithm needs to give a limited condition to each node of the copy.…”

Section: Improvement Of Consensus Algorithm Of Digital Music Copyrmentioning

confidence: 99%

Usage of Deep Learning and Blockchain in Compilation and Copyright Protection of Digital Music

Cai

2020

IEEE Access

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In order to explore the application of deep learning algorithms in arrangement and composition, and the role of blockchain in the protection of digital music copyright, a monophonic melody composition model based on the deep generative adversarial networks (DCGANs) is constructed firstly, and the composition performance of the model is analyzed using hymn as input sample in this study. Later, the multi-instrument co-arrangement (MICA) model based on the multi-task learning is proposed, and the composition performance is analyzed by taking the actual music as an input sample. Finally, the improved practical byzantine fault tolerance (IPBFT) algorithm is proposed, and a digital music copyright protection system is designed based on the blockchain in this study. The results indicate that the accuracies constructed DCGANs model in predicting the Soprano and Alto voice melody are higher than those of the DeepBatch model by 2.29% and 3.32%, respectively. The performance on the harmony score, note accuracy, levenshtein similarity (LS), notes distribution mean square error, and empty as well as the convergence speed of the constructed MICA model are better than those of other models. The average transaction per second (TPS) value of the proposed IPBFT algorithm in the real digital music copyright protection system is 3469, which is superior to other blockchain technologies. Finally, the digital music copyright protection system is achieved, the error rate of completing the request is 0% in the state of many users operating concurrently, and a high TPS value can be guaranteed. In short, the DCGANs and MICA models pointed out in this study can be used in the composition of monophonic melodies and complex melodies, and the digital music copyright protection system based on the blockchain has excellent performance in practical applications.

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“…Some studies also considered reliability in this manner. In (Yuan et al, 2018) Yuan et al designed a system based on the Byzantine model to tolerate faulty switches in order to enhance reliability. Moreover, Song et al (Song et al, 2017) focused on control-path reliability which is an important consideration for out-of-band controllers whose network view can be affected by the data plane failures.…”

Section: Restoration Approachesmentioning

confidence: 99%

Fault Tolerance in SDN Data Plane Considering Network and Application Based Metrics

Yamansavascilar,

Baktir,

Ozgovde

et al. 2019

Preprint

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Failures in networks result in service disruptions which may cause deteriorated Quality of Service (QoS) for the end users. Since SDN is becoming the mainstream paradigm for networks, implementation of a robust fault tolerance scheme for SDN-based networks is crucial. Existing SDN data plane fault tolerance approaches can be classified as reactive and proactive which may or may not rely on the controller, respectively. However, none of them qualifies as a complete solution, providing only partial remedies. In this work, we propose Dynamic Protection with Quality of Alternative Paths (DPQoAP) that considers not only the existing faults within the network but also the quality of alternative paths. As a result, we can sustain the QoS throughout the network after the recovery. We also investigate how application based parameters are affected by link failures. To this end, we explore the change in Quality of Experience (QoE) caused by link failures under different cases using Dynamic Adaptive Streaming over HTTP (DASH) for video streaming. On the other hand, even though DASH is proposed as a solution to improve the QoE affected by the dynamic conditions of the networks, it remains insufficient to handle the congested links that show the symptoms of a link failure. Thus, we apply the data plane fault tolerance approach in SDN to improve the QoE of DASH clients in the case of congestion as well as the failure. The performance of the proposed solutions are evaluated through various experiments considering the QoS and QoE parameters. It is observed that DPQoAP enhances the efficiency of the networking operations and adaptability of the applications.

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A Practical Byzantine-Based Approach for Faulty Switch Tolerance in Software-Defined Networks

Cited by 22 publications

References 48 publications

A Bayesian Game-Theoretic Intrusion Detection System for Hypervisor-Based Software Defined Networks in Smart Grids

A Bayesian Game-Theoretic Intrusion Detection System for Hypervisor-Based Software Defined Networks in Smart Grids

Usage of Deep Learning and Blockchain in Compilation and Copyright Protection of Digital Music

Fault Tolerance in SDN Data Plane Considering Network and Application Based Metrics

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