MHSDN: A Hierarchical Software Defined Network Reliability Framework design

Zhu, Zhengbin; Liu, Qinrang; Liu, Dongpei; Ge, ChenYang; Wang, Chong

doi:10.1049/ise2.12080

Cited by 2 publications

(2 citation statements)

References 17 publications

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“…DHRCA. In this subsection, we combine mimic defense theory with endogenous security properties [31][32][33][34] to give a DHRCA for SoW, as shown in Figure 5. The architecture consists of an input proxy module, an output proxy module, a negative feedback control module, and a resource pool of heterogeneous chiplets.…”

Section: Architecture Design and Security Modelingmentioning

confidence: 99%

DHRCA: A Design of Security Architecture Based on Dynamic Heterogeneous Redundant for System on Wafer

Mei,

Zhu,

et al. 2024

IET Information Security

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System on Wafer (SoW) based on chiplets may be implanted with hardware Trojans (HTs) by untrustworthy third-party chiplet vendors. However, traditional HTs protection techniques cannot guarantee complete protection against HTs, which poses a great challenge to the hardware security of SoW. In this paper, we propose a computing architecture based on endogenous security theory—dynamic heterogeneous redundant computing architecture (DHRCA) that can tolerate and detect HTs at runtime. The security of our approach is analyzed by building a generalized stochastic coloring petri net (GSCPN) model of DHRCA. The simulation results based on the GSCPN model show that our method can improve the system security probability to 0.8690 and the system availability probability to 0.9750 in the steady state compared with typical triple-mode redundancy and runtime monitoring methods. Furthermore, the impact of different attack and defense strategies on system security of different methods is simulated and analyzed in this paper.

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Section: Architecture Design and Security Modelingmentioning

confidence: 99%

DHRCA: A Design of Security Architecture Based on Dynamic Heterogeneous Redundant for System on Wafer

Mei,

Zhu,

et al. 2024

IET Information Security

Self Cite

View full text Add to dashboard Cite

show abstract

“…The term "software-defined networking" (SDN) denotes a network design and management approach that segregates the control plane, responsible for managing network traffic and selecting routes [14], from the data plane, handling actual data packet transmission. Within SDN, network administration is centralized through a software-based controller, enabling dynamic resource configuration to meet user and application requirements.…”

Section: Software-defined Networkmentioning

confidence: 99%

Improved 5G network slicing for enhanced QoS against attack in SDN environment using deep learning

Abood,

Wang,

Virdee

et al. 2024

IET Communications

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Within the evolving landscape of fifth‐generation (5G) wireless networks, the introduction of network‐slicing protocols has become pivotal, enabling the accommodation of diverse application needs while fortifying defences against potential security breaches. This study endeavours to construct a comprehensive network‐slicing model integrated with an attack detection system within the 5G framework. Leveraging software‐defined networking (SDN) along with deep learning techniques, this approach seeks to fortify security measures while optimizing network performance. This undertaking introduces network slicing predicated on SDN with the OpenFlow protocol and Ryu control technology, complemented by a neural network model for attack detection using deep learning methodologies. Additionally, the proposed convolutional neural networks‐long short‐term memory approach demonstrates superiority over conventional ML algorithms, signifying its potential for real‐time attack detection. Evaluation of the proposed system using a 5G dataset showcases an impressive accuracy of 99%, surpassing previous studies, and affirming the efficacy of the approach. Moreover, network slicing significantly enhances quality of service by segmenting services based on bandwidth. Future research will concentrate on real‐world implementation, encompassing diverse dataset evaluations, and assessing the model's adaptability across varied scenarios.

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MHSDN: A Hierarchical Software Defined Network Reliability Framework design

Cited by 2 publications

References 17 publications

DHRCA: A Design of Security Architecture Based on Dynamic Heterogeneous Redundant for System on Wafer

DHRCA: A Design of Security Architecture Based on Dynamic Heterogeneous Redundant for System on Wafer

Improved 5G network slicing for enhanced QoS against attack in SDN environment using deep learning

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