An Overview on SDN and NFV Security Orchestration in Cloud Network Environment

Aziz, Israa T.; Abdulqadder, Ihsan H.

doi:10.24086/cuesj.v5n1y2021.pp20-27

Cited by 2 publications

(1 citation statement)

References 29 publications

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“…These devices process packets according to control plane rules. While the idea of control and data plane separation is present in Internet Engineering Task Force (IETF) working group works [20] and even earlier with the concept of programmable and active networks [21], [22], the 2008 OpenFlow work [23], [24] is considered the first appearance of SDN in modern literature [25]. These articles demonstrate the potential of combining SDN and DRL techniques for efficient resource allocation in fog computing environments.…”

Section: Related Workmentioning

confidence: 99%

Security and risk analysis in the cloud with software defined networking architecture

Thatha¹,

Donepudi²,

Safali

et al. 2023

IJECE

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Cloud computing has emerged as the actual trend in business information technology service models, since it provides processing that is both cost-effective and scalable. Enterprise networks are adopting software-defined networking (SDN) for network management flexibility and lower operating costs. Information technology (IT) services for enterprises tend to use both technologies. Yet, the effects of cloud computing and software defined networking on business network security are unclear. This study addresses this crucial issue. In a business network that uses both technologies, we start by looking at security, namely distributed denial-of-service (DDoS) attack defensive methods. SDN technology may help organizations protect against DDoS assaults provided the defensive architecture is structured appropriately. To mitigate DDoS attacks, we offer a highly configurable network monitoring and flexible control framework. We present a dataset shift-resistant graphic model-based attack detection system for the new architecture. The simulation findings demonstrate that our architecture can efficiently meet the security concerns of the new network paradigm and that our attack detection system can report numerous threats using real-world network data.

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Section: Related Workmentioning

confidence: 99%

Security and risk analysis in the cloud with software defined networking architecture

Thatha¹,

Donepudi²,

Safali

et al. 2023

IJECE

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Analysis of Encryption Algorithms Proposed for Data Security in 4G and 5G Generations

2022

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This paper intended to investigate and analyze encryption algorithms that can be proposed to perform data security in 4G and 5G networks. The research explores different standards, services, and features presented via 4G and 5G networks. Also, the basic components of encryption algorithms (e.g., ZUC, SNOW 3G, and AES) are investigated. For instance, initialization keys have been identified and analyzed due to their vital roles in determining the security of the encryption algorithms. Moreover, the researchers analyzed the effective elements of these algorithms (i.e., LFSR registers, substitution boxes, NLF functions like finite state machines, Math transformations, secret encryption keys, and non-secret IV keys). Cryptanalysis methods play important roles in determining the security of these algorithms. Thus, some cryptanalysis methods have been explored and investigated. Various weak points have been identified in initialization process of these algorithms. Therefore, different recommendations are presented that enhance the security of these ciphers, and can be reflected in data security in 4G and 5G networks.

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An Overview on SDN and NFV Security Orchestration in Cloud Network Environment

Cited by 2 publications

References 29 publications

Security and risk analysis in the cloud with software defined networking architecture

Security and risk analysis in the cloud with software defined networking architecture

Analysis of Encryption Algorithms Proposed for Data Security in 4G and 5G Generations

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