A comprehensive survey on SDN security: threats, mitigations, and future directions

Maleh, Yassine; Qasmaoui, Youssef; Gholami, Khalid El; Sadqi, Yassine; Mounir, Soufyane

doi:10.1007/s40860-022-00171-8

Cited by 61 publications

(25 citation statements)

References 140 publications

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“…All the data traffic transmitting over an IoT network can be dynamically analysed through the SDN control plane. In this Figure 1: Proposed Network Framework way, SDN offers conglomerated services, i.e., customization, scalability, and security in IoT [26].…”

Section: Background and Related Work A Iot And Sdnmentioning

confidence: 99%

Cyber Threats Detection in Smart Environments Using SDN-Enabled DNN-LSTM Hybrid Framework

et al. 2022

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Internet of Things (IoT) is an instantly exacerbated communication technology that is manifesting miraculous effectuation to revolutionize conventional means of network communication. The applications of IoT are compendiously encompassing our prevalent lifestyle and the integration of IoT with other technologies makes this application spectrum even more latitudinous. However, this admissibility also introduces IoT with a pervasive array of imperative security hazards that demands noteworthy solutions to be swamped. In this scientific study, we proposed Deep Learning (DL) driven Software Defined Networking (SDN) enabled Intrusion Detection System (IDS) to combat emerging cyber threats in IoT. Our proposed model (DNNLSTM) is capable to encounter a tremendous class of common as well as less frequently occurring cyber threats in IoT communications. The proposed model is trained on CICIDS 2018 dataset, and its performance is evaluated on several decisive parameters i.e Accuracy, Precision, Recall, and F1-Score. Furthermore, the designed framework is analytically compared with relevant classifiers, i.e., DNNGRU, and BLSTM for appropriate validation. An exhaustive performance comparison is also conducted between the proposed system and a few preeminent solutions from the literature. The proposed design has circumvented the existing literature with unprecedented performance repercussions such as 99.55% accuracy, 99.36% precision, 99.44% recall, and 99.42% F1-score.

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Section: Background and Related Work A Iot And Sdnmentioning

confidence: 99%

Cyber Threats Detection in Smart Environments Using SDN-Enabled DNN-LSTM Hybrid Framework

et al. 2022

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“…In this case, responsibility for the entire system relies on the controller side. The problem of the effect of using programmable network technology on the network's security is extensively studied and has extensive literature, see, e.g., [44].…”

Section: Security Aspects Of the Proposed Solutionmentioning

confidence: 99%

Low-complexity access control scheme for MEC-based services

Sepczuk¹,

Kotulski²,

Niewolski³

et al. 2022

Annals of Computer Science and Information Systems

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The standardized security architecture proposed by ETSI for 5G networks provides six security domains covering network access and secure implementation of network services. However, this architecture does not specify detailed solutions for access control for web services and user credentials management. This paper proposes a new access control and service authorization protocol for the network services using MEC edge servers. Our solution does not slow down the performance of services in the 5G network. The advantage of this solution is that it allows you to solve some network security problems resulting from virtualization techniques (SDN and NFV) applied in constructing contemporary mobile networks.

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“…SDN strategies for VLAN is entirely an area where controller part of the framework plays an important role. Since its successful introduction, using software-defined networking in data centres and enterprise networks is becoming increasingly commonplace (SDN) is now being implemented more widely [7]. However, the SDN is dealing with these new security issues, particularly with regard to protecting the SDN architecture itself [8].…”

Section: Related Workmentioning

confidence: 99%

Examining the Performance of Software Defined Virtual Local Area Network

Ibrahim

Ahmed

2022

Int J Innov Comp

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For more than three decades, the Virtual Local Area Network (VLAN) has been one of the most popular systems virtualization groups of users on both local and corporate networks. Because of the advantages that VLAN provides, network managers and operators have continued to use it in the creation of their networks and have even extended its use to include cloud computing networking. Previous research studies have established a lot of issues associated with VLAN architecture. Typically, it was revealed that it is difficult to set up a complex VLAN, and even it is successful, it leads to computational time-consuming, and prone to error to process majority of complex VLAN. Considering this, the current research examines the performance of “Software Defined- VLAN”. This is because Software-Defined Network (SDN) is a viable alternative network architecture that allows the separation of information and control functions on devices. It appears to be a promising optimized option VLAN administration. The SDN-enabled VLAN testbed was set out and implemented using OpenFlow. SDN-Enabled VLAN and a conventional VLAN. The finding revealed that SDN-enabled VLAN offers higher network performance, lower packet transfer delay, and a more efficient configuration.

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A comprehensive survey on SDN security: threats, mitigations, and future directions

Cited by 61 publications

References 140 publications

Cyber Threats Detection in Smart Environments Using SDN-Enabled DNN-LSTM Hybrid Framework

Cyber Threats Detection in Smart Environments Using SDN-Enabled DNN-LSTM Hybrid Framework

Low-complexity access control scheme for MEC-based services

Examining the Performance of Software Defined Virtual Local Area Network

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