A Survey on Emerging SDN and NFV Security Mechanisms for IoT Systems

Farris, Ivan; Taleb, Tarik; Khettab, Yacine; Song, JaeSeung

doi:10.1109/comst.2018.2862350

Cited by 346 publications

(160 citation statements)

References 182 publications

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“…Research communities investigate different aspects of IoT, and they provide surveys regarding IoT issues and challenges [18]- [20] that should be addressed such as security and privacy [21]- [23], architectural issue [19], big data [24], [25] as well as energy efficiency [26] and QoS [27]- [29]. This section discusses state-of-the-art research that uses SDN technology in IoT.…”

Section: Related Workmentioning

confidence: 99%

Load-Balanced and QoS-Aware Software-Defined Internet of Things

Montazerolghaem

Yaghmaee

2020

IEEE Internet Things J.

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Internet of Things (IoT) offers a variety of solutions to control industrial environments. The new generation of IoT consists of millions of machines generating huge traffic volumes; this challenges the network in achieving the Quality of Service (QoS) and avoiding overload. Diverse classes of applications in IoT are subject to specific QoS treatments. In addition, traffic should be distributed among IoT servers based on their available capacity. In this paper, we propose a novel framework based on Software-defined Networking (SDN) to fulfill the QoS requirements of various IoT services and to balance traffic between IoT servers simultaneously. At first, the problem is formulated as an Integer Linear Programming (ILP) model that is NP-hard. Then, a predictive and proactive heuristic mechanism based on time-series analysis and fuzzy logic is proposed. Afterwards, the proposed framework is implemented in a real testbed, which consists of the Open vSwitch, Floodlight controller, and Kaa servers. To evaluate the performance, various experiments are conducted under different scenarios. The results indicate the improved IoT QoS parameters, including throughput and delay, and illustrate the non-occurrence of overload on IoT servers in heavy traffic. Furthermore, the results show improved performance compared to similar methods.

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Section: Related Workmentioning

confidence: 99%

Load-Balanced and QoS-Aware Software-Defined Internet of Things

Montazerolghaem

Yaghmaee

2020

IEEE Internet Things J.

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“…The protection of blockchain-based SDN is not an easy task, it is vital to defeat unauthorized access, data leakage, data modification, DoS attack, malicious applications, as well as enhance configuration issues and many design issues. More promising solutions can refer to relevant studies and surveys [2], [5], [7], [9], [15], [22], [24], [34], [40], [48].…”

Section: Defence and Solutionsmentioning

confidence: 99%

“…Salman et al [41] introduced some security issues on blockchains relating to confidentiality, authentication, privacy protection, data provenance, access control and so on. Some other recent reviews and surveys on either SDN or blockchains can be referred but not limited to [2], [5], [7], [9], [15], [22], Copyright c 2020 The Institute of Electronics, Information and Communication Engineers [24], [34], [40].…”

Section: Introductionmentioning

confidence: 99%

Towards Blockchain-Based Software-Defined Networking: Security Challenges and Solutions

Meng

Liu

et al. 2020

IEICE Trans. Inf. & Syst.

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Software-Defined Networking (SDN) enables flexible deployment and innovation of new networking applications by decoupling and abstracting the control and data planes. It has radically changed the concept and way of building and managing networked systems, and reduced the barriers to entry for new players in the service markets. It is considered to be a promising solution providing the scale and versatility necessary for IoT. However, SDN may also face many challenges, i.e., the centralized control plane would be a single point of failure. With the advent of blockchain technology, blockchain-based SDN has become an emerging architecture for securing a distributed network environment. Motivated by this, in this work, we summarize the generic framework of blockchainbased SDN, discuss security challenges and relevant solutions, and provide insights on the future development in this field.

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“…We may cite several works focussing on the design choice of distributed SDN controller with the aim to show that to build an efficient distributed controller it should consider the following aspects: scalability, robustness, consistency and security [59][60][61][62]. The papers of [63,64] define the use of adaptive consistency models in the context of distributed SDN controllers.…”

Section: The Consistency's Use Areas and Benefitsmentioning

confidence: 99%

A comparative analysis of adaptive consistency approaches in cloud storage

Khelaifa

Benharzallah

Kahloul

et al. 2019

Journal of Parallel and Distributed Computing

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NoSQL storage systems are used extensively by web applications and provide an attractive alternative to conventional databases due to their high security and availability with a low cost. High data availability is achieved by replicating data in different servers in order to reduce access time lag, network bandwidth consumption and system unreliability. Hence, the data consistency is a major challenge in distributed systems. In this context, strong consistency guarantees data freshness but affects directly the performance and availability of the system. In contrast, weaker consistency enhances availability and performance but increases data staleness. Therefore, an adaptive consistency strategy is needed to tune, during runtime, the consistency level depending on the criticality of the requests or data items. Although there is a rich literature on adaptive consistency approaches in cloud storage, there is a need to classify as well as regroup the approaches based on their strategies. This paper will establish a set of comparative criteria and then make a comparative analysis of existing adaptive consistency approaches. A survey of this kind not only provides the user/researcher with a comparative performance analysis of the approaches but also clarifies the suitability of these for candidate cloud systems.

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A Survey on Emerging SDN and NFV Security Mechanisms for IoT Systems

Cited by 346 publications

References 182 publications

Load-Balanced and QoS-Aware Software-Defined Internet of Things

Load-Balanced and QoS-Aware Software-Defined Internet of Things

Towards Blockchain-Based Software-Defined Networking: Security Challenges and Solutions

A comparative analysis of adaptive consistency approaches in cloud storage

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