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4th International Conference on Machine Learning and Computer Application, ICMLCA 2023

作者： Ma, Li Chen, Ming Liu, Liang College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing China

ISBN: (数字)9781510680265

ISBN: (纸本)9781510680258

As the complexity of cyber attacks increases, honeypot networks, acting as a proactive security mechanism, have become an important area of research in the field of cybersecurity. Although traditional honeynets offer a degree of defense, their limitations in dealing with complex and persistent cyber attacks, including a lack of flexibility, insufficient allure for attackers, and high maintenance costs, are increasingly exposed. This paper introduces a versatile dynamic honeynet architecture (VDH) to compensate for these deficiencies in existing honeynet technologies. By deploying in parallel with enterprise networks and dynamically generating honeypot nodes, the VDH architecture achieves flexible control and redirection of suspicious traffic, thus enhancing network protection capabilities. The paper further abstracts honeynet attack and defense behaviors into a non-cooperative incomplete information game model, and through precise modeling and analysis of the single-stage attack-defense game process, proposes a novel optimal configuration strategy for dynamic honeynets. Lastly, the paper designs and implements the VDH prototype system based on network function virtualization, and verifies the effectiveness and superiority of the VDH structure and configuration strategy. © 2024 SPIE.

关键词： network function virtualization

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Optimizing Stateful Service function Chaining on PDP Switches with Table Merging

Optimizing Stateful Service Function Chaining on PDP Switche...

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2024 IEEE Global Communications Conference, GLOBECOM 2024

作者： Wei, Zhen Li, Tingyu Xu, Zichen Zhu, Zuqing School of Information Science and Technology University of Science and Technology of China Hefei China

ISBN: (纸本)9798350351255

The rapid development of network function virtualization (NFV) has notably increased the implementation of virtual network functions (vNFs), especially the stateful ones, on high-performance programmable data plane (PDP) switches (e.g., those based on P4 and Tofino ASICs). This facilitates offloading stateful service function chains (SFCs) to PDP switches. However, the capability of PDP switches to carry stateful SFCs is still constrained by their limited hardware resources. In this work, we propose to address this issue with adaptive table merging, formulate an integer linear programming (ILP) model to optimize the deployment of stateful SFCs on P4-based PDP switches with table merging, and design a time-efficient heuristic to solve the problem quickly. Simulation results validate that our proposals successfully enhance the deployment efficiency of stateful SFCs, outperforming existing benchmarks significantly. © 2024 IEEE.

关键词： network function virtualization

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Delay-aware and Resource-efficient VNF placement in 6G Non-Terrestrial networks

Delay-aware and Resource-efficient VNF placement in 6G Non-T...

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IEEE Wireless Communications and networking Conference (WCNC)

作者： Yue, Yi Tang, Xiongyang Yang, Wencong Zhang, Xuebei Zhang, Zhiyan Gao, Chuyang Xu, Lexi China Unicom Res Inst Beijing Peoples R China Zhengzhou Univ Sch Elect Engn Zhengzhou Peoples R China Univ Bern Bern Switzerland

ISBN: (纸本)9781665491228

Virtual network function (VNF) placement in NTNs is challenging because Non-Terrestrial networks (NTNs), such as satellite networks, have limited resources regarding computational power and rate. However, existing solutions do not consider satellites' resource constraints and the bandwidth constraints of links, which are essential metrics for designing VNF placement strategies in NTNs. Utilizing network function virtualization (NFV) technology to deploy related network services on satellites in VNFs is a reasonable way. This paper focuses on delay-aware VNF placement in 6G NTNs to meet the ultra-low delay requirements of different applications. In addition, we also consider how to improve the resource utilization of servers to eliminate the resource bottlenecks of resource-constrained 6G NTN facilities. Then we formulate the VNF placement problem as a weighted graph-matching problem, aiming to maximize resource utilization. We propose the Linear Programming based algorithm and the Hungarian-based algorithm to solve the VNF placement problem. Evaluation results show that our proposed solutions outperform the benchmarks regarding resource utilization and execution time.

关键词： 6G Non-terrestrial networks network function virtualization Virtual network function Delay-aware Resource utilization

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Game Theory-Based Trusted Virtual network function Deployment in LEO Satellite Optical networks

Game Theory-Based Trusted Virtual Network Function Deploymen...

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2024 Asia Communications and Photonics Conference, ACP 2024 and International Conference on Information Photonics and Optical Communications, IPOC 2024

作者： Zhu, Ruijie Li, Haicheng Qin, Shaobo Zhang, Yudong Xi, Chao Yang, Bo Zhengzhou University Songshan Laboratory Zhengzhou China Zhengzhou University Zhengzhou China Space Star Technology Co. Ltd. Beijing China

This paper proposes a Fuzzy Theory-based trust model and a Game Theory-Based Delay-Aware VNF Deployment *** results show that it outperforms four other benchmark algorithms ensuring the deployment of trustworthy servi... 详细信息

ISBN: (纸本)9798350379266

关键词： network function virtualization

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Machine Learning Based 5G network Slicing Management and Classification 6

Machine Learning Based 5G Network Slicing Management and Cla...

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6th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2024

作者： Wu, Zong-Xun You, Yun-Zhe Liu, Chien-Chang Chou, Li-Der National Central University Department of Computer Science and Information Engineering Taoyuan320317 Taiwan

ISBN: (纸本)9798350344349

Due to the rapid development of the Internet, network bandwidth and stability are becoming more and more important. With the increase in the number of users, how to make each user have a high Quality of Service (QoS) is an urgent problem to be solved. 5G slicing allows flexible management of each user's network usage, which in turn optimizes the overall network usage and reduces the consumption of network resources. The 5G slicing can flexibly manage each user's network usage to optimize overall network usage and reduce network resource consumption. In this paper, use machine learning to analyze the network traffic, and analyze a total of 141 different applications on the network, and conduct experiments on different machine learning models. Based on the above experimental results, propose an algorithm for 5G slice management. Based on the above traffic analysis results, we will dynamically configure and optimize the resources of each slice according to the current network traffic of each user. © 2024 IEEE.

关键词： network function virtualization

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Hierarchical Distributed Overarching Architecture of Decoupled Federation and Orchestration Frameworks for Multidomain NFV MANOs

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IEEE COMMUNICATIONS MAGAZINE 2022年第9期60卷 68-74页

作者： Choi, Jin Seek Chun, Se Joon Lee, Sunghwan Hanyang Univ Seoul South Korea Hanyang Univ Dept Comp Sci Seoul South Korea

The European Telecommunications Standards Institute (ETSI) has developed network function virtualization (NW) management and orchestration (MANO) for operators to enable quick adaptation of deployment and to reduce the management costs of virtual network functions (VNFs). For scalable and flexible management across transport, cloud, and edge infrastructures, the NFV MANO has been extended into multidomain architectures with network-cloud/edge convergence. In this article, a novel hierarchical distributed overarching architecture of decoupled federation and orchestration frameworks for multidomain ETSI-compliant NFV MANOs is proposed. The proposed architecture can minimize overhead costs for the scalable exchange of abstracted vertical service information through hierarchical brokering and can enable flexible federation through distributed binding among multiple domains. The proposed architecture deploys end-to-end services in single and multiple domains for vertical industries, activates their service processes in a holistic way, and enables operational independence with administrative autonomy. This article serves as an important and necessary step toward the cloud-native design and implementation of federation and orchestration frameworks for multidomain NFV MANOs.

关键词： Computer architecture Cloud computing Peer-to-peer computing Topology Costs 5G mobile communication Ecosystems network function virtualization ETSI

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Towards Optimal Parallelism-Aware Service Chaining and Embedding

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IEEE TRANSACTIONS ON network AND SERVICE MANAGEMENT 2022年第3期19卷 2063-2077页

作者： Zheng, Danyang Shen, Gangxiang Cao, Xiaojun Mukherjee, Biswanath Soochow Univ Sch Elect & Informat Engn Suzhou Key Lab Adv Opt Commun Network Technol Suzhou 215006 Peoples R China Georgia State Univ Dept Comp Sci Atlanta GA 30302 USA

Emerging 5G technologies can significantly reduce end-to-end service latency for applications requiring strict quality of service (QoS). With network function virtualization (NFV), to complete a client's request from those applications, the client's data can sequentially go through multiple service functions (SFs) for processing/analysis but introduce additional processing delay. To reduce the processing delay from the serially-running SFs, network function parallelism (NFP) that allows multiple SFs to run in parallel is introduced. In this work, we study how to apply NFP into the SF chaining and embedding process such that the latency, including processing and propagation delays, can be jointly minimized. We introduce a novel augmented graph to address the parallel relationship constraint among the required SFs. Considering parallel relationship constraints, we propose a novel problem called parallelism-aware service function chaining and embedding (PSFCE). For this problem, we propose a near-optimal maximum parallel block gain (MPBG) first optimization algorithm when computing resources at each physical node are enough to host the required SFs. When computing resources are limited, we propose a logarithm-approximate algorithm, called parallelism-aware SFs deployment (PSFD), to jointly optimize processing and propagation delays. We conduct extensive simulations on multiple network scenarios to evaluate the performances of our schemes. Accordingly, we find that (i) MPBG is near-optimal, (ii) the optimization of end-to-end service latency largely depends on the processing delay in small networks and is impacted more by the propagation delay in large networks, and (iii) PSFD outperforms the schemes directly extended from existing works regarding end-to-end latency.

关键词： Delays Propagation delay Parallel processing Service function chaining network function virtualization Optimization 5G mobile communication network function virtualization network function parallelism parallelism-aware service function chaining and embedding approximation algorithm

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VNF Embedding and Assignment for network function Parallelism

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IEEE TRANSACTIONS ON network AND SERVICE MANAGEMENT 2022年第2期19卷 1006-1016页

作者： Lin, Kate Ching-Ju Chou, Pei-Ling Natl Chiao Tung Univ Dept Comp Sci Hsinchu 300 Taiwan

The emergence of network function virtualization (NFV) and Service function Chaining (SFC) together enable flexible and agile network management and traffic engineering. Recently, network function Parallelism (NFP) has been proposed to break the need for sequential services and, hence, significantly reduce the latency of SFC. While some studies have investigated how to identify parallel paths to enhance the efficiency of parallelism, less effort has been paid to efficient network function embedding with consideration of parallelism opportunities. Hence, this work aims at solving the instance deployment problem so as to prevent parallel functions from waiting for each other before continuing to the next stage. As it is extremely difficult to optimize VNF (Virtual network functions) embedding for uncertain parallelism opportunities, we propose a practical embedding scoring mechanism to enhance the likelihood of low-cost function parallelism. Our scoring design tends to cluster independent functions for efficient parallelism while ensuring load balancing. After instance deployment, we then assign function instances to parallel chains so as to minimize their end-to-end latency while balancing the workload of instances. Our evaluation results show that the proposed scoringbased embedding scheme ensures homogeneous delays of parallel functions and, hence, reduces the end-to-end latency for NFP by up to 22% as compared to the embedding algorithm without considering parallelism opportunities.

关键词： Service function chaining Loading Clustering algorithms Parallel processing Load management network function virtualization Delays network function parallelization network function embedding function instance assignment

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On Using Physical Programming for Multi-Domain SFC Placement With Limited Visibility

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IEEE TRANSACTIONS ON CLOUD COMPUTING 2022年第4期10卷 2787-2803页

作者： Toumi, Nassima Bernier, Olivier Meddour, Djamal-Eddine Ksentini, Adlen Orange F-22300 Lannion France EURECOM Commun Syst Dept F-06410 Sophia Antipolis France EURE COM Commun Syst Dept F-06410 Sophia Antipolis France

Service function Chaining (SFC) is a networking concept by which traffic is steered through a set of ordered functions composing an end-to-end service. It represents one of the facilitating technologies for 5G, and is enabled by the network function virtualization (NFV) and Software Defined networks (SDN) paradigms. In the multi-domain context, SFC placement faces new challenges related to the lack of visibility on the local domain's networks. Indeed, the domain operators are often reluctant to unveil details on their topology to external parties. Furthermore, the new 5G use cases introduce new requirements for services such as end-to-end latency, and a minimal guaranteed bandwidth that the placement process needs to optimize simultaneously. In this article, we propose a centralized framework that allows SFC partitioning and embedding over multiple domains with a limited visibility over the global infrastructure. We model the multi-objective SFC placement problem using the Physical Programming method, which allows the expression of the Decision Maker's preferences through meaningful parameters, and propose an exact algorithm as well as a scalable heuristic solution. We then perform an extensive evaluation of the framework as well as the proposed algorithms. The results demonstrate our solution's effectiveness with a limited visibility on the network.

关键词： Service function chaining multi-domain multi objective optimization physical programming network function virtualization software defined networks

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Towards security automation in Software Defined networks

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COMPUTER COMMUNICATIONS 2022年 183卷 64-82页

作者： Yungaicela-Naula, Noe M. Vargas-Rosales, Cesar Arturo Perez-Diaz, Jesus Zareei, Mahdi Tecnol Monterrey Sch Engn & Sci Monterrey 64849 Mexico

Software-Defined networking (SDN) is a modern paradigm that provides a platform for implementing reliable, centrally managed, and automated security solutions for conventional and new generation networks, such as IoT, cloud computing, 5G/6G mobile communication networks, and vehicular communications. In these com-plex systems, manual security operations can delay or obstruct the identification, mitigation, and prevention of ever-increasing sophisticated threats. Thus, the idea of security automation for networks using the SDN paradigm has become fundamental, given that SDN was created to facilitate the operation and management of complex networks with minimal human intervention, which is considered error-prone. This survey studies the state-of-the-art research efforts concerned with security automation in SDN environments. We identified and ranked various classes of security solutions with different levels of automation and complexity. The level of automation is measured using four well-defined qualitative parameters: self-healing, self-adaptation, self-configuration, and self-optimization. The complexity is characterized by the amount of processing and storage resources and implementation requirements. This work represents the first endeavor to analyze the level of automation and complexity of security solutions in SDN environments. Our findings reveal important advances in the area of security automation in SDN. However, there are still several open problems and challenges, which we detail in this work.

关键词： Software defined networks Security automation network function virtualization Machine learning Deep learning Reinforcement learning

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