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International Conference on Communication Software and Networks, ICCSN

作者： Gaofei Zhang Zheng Zhang Bolin Ma Jiang Wang State key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China National Digital Switching System Engineering & Technological R&D Center Zhengzhou China

ISBN: (数字)9781728198156

ISBN: (纸本)9781728198163

As Internet security issues are becoming increasingly serious, many scholars and experts are exploring new defense strategies. The availability of multi-core computers and cloud computing resources has brought back the original costly defense methods to people's vision. Among them, the Multi-Variant eXecution (MVX) defense has received widespread attention and is considered a security technology that may change the rules of cyberspace games. In this paper, we analyze and summarize the current MVX defense technology, focusing on the evolution of the architecture and the key technologies. Finally, we point out the challenges to MVX and discuss future research, which is of great significance for the next work.

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A distributed decision Mechanism for Controller Load Balancing Based on Switch Migration in SdN

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China Communications 2018年第10期15卷 129-142页

作者： Tao Hu Peng Yi Jianhui Zhang Julong Lan National Digital Switching System Engineering & Technological R&D Center Zhengzhou 450002 China

Software defined Networking(SdN) provides flexible network management by decoupling control plane from data plane. And multiple controllers are deployed to improve the scalability and reliability of the control plane, which could divide the network into several subdomains with separate controllers. However, such deployment introduces a new problem of controller load imbalance due to the dynamic traffic and the static configuration between switches and controllers. To address this issue, this paper proposes a distribution decision Mechanism(ddM) based on switch migration in the multiple subdomains SdN network. Firstly, through collecting network information, it constructs distributed migration decision fields based on the controller load condition. Then we choose the migrating switches according to the selection probability, and the target controllers are determined by integrating three network costs, including data collection, switch migration and controller state synchronization. Finally, we set the migrating countdown to achieve the ordered switch migration. Through verifying several evaluation indexes, results show that the proposed mechanism can achieve controller load balancing with better performance.

关键词： software defined networking controller load balancing switch migration distributed decision

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reliable and Load Balance-Aware Multi-Controller deployment in SdN

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China Communications 2018年第11期15卷 184-198页

作者： Tao Hu Peng Yi Jianhui Zhang Julong Lan National Digital Switching System Engineering & Technological R&D Center Zhengzhou 450002 China

Software defined Networking(SdN) provides flexible network management by decoupling control plane and data plane. However, such separation introduces the issues regarding the reliability of the control plane and controller load imbalance in the distributed SdN network, which will cause the low network stability and the poor controller performance. This paper proposes reliable and Load balance-aware Multi-controller deployment(rLMd) strategy to address the above problems. Firstly, we establish a multiple-controller network model and define the relevant parameters for rLMd. Then, we design the corresponding algorithms to implement this strategy. By weighing node efficiency and path quality, Controller Placement Selection(CPS) algorithm is introduced to explore the reliable deployments of the controllers. On this basis, we design Multiple domain Partition(MdP) algorithm to allocate switches for controllers according to node attractability and controller load balancing rate, which could realize the reasonable domain planning. Finally, the simulations show that, compared with the typical strategies, rLMd has the better performance in improving the reliability of the control plane and balancing the distribution of the controller loads.

关键词： software defined networking controller reliability load balancing networkoptimization

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A combination of rNN and CNN for attention-based relation classification 8

A combination of RNN and CNN for attention-based relation cl...

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8th International Congress of Information and Communication Technology, ICICT 2018

作者： Zhang, Xiaobin Chen, Fucai Huang, ruiyang National Digital Switching System Engineering and Techological R and D Center ZhengZhou450002 China

relation classification plays an important role in the field of natural language processing (NLP). Previous research on relation classification has verified the effectiveness of using convolutional neural network (CNN) and recurrent neural network (rNN). In this paper, we proposed a model that combine the rNN and CNN (rCNN), which will Give full play to their respective advantages: rNN can learn temporal and context features, especially long-term dependency between two entities, while CNN is capable of catching more potential features. We experiment our model on the SemEval-2010 Task 8 dataset1, and the result shows that our method is superior to most of the existing methods. © 2018 The Authors. Published by Elsevier Ltd.

关键词： recurrent neural networks

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dIN: A Bio-Inspired distributed Intelligence Networking 16th

DIN: A Bio-Inspired Distributed Intelligence Networking

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16th IFIP WG 10.3 International Conference on Network and Parallel Computing, NPC 2019

作者： Li, Yufeng du, Yankang Cao, Chenhong Qiu, Han School of Computer Engineering and Science Shanghai University Shanghai200023 China National Digital Switching System Engineering and Technology R&D Center Zhengzhou450002 China

ISBN: (纸本)9783030307080

Software-defined Networking (SdN) is a promising method to simplify network management and facilitate network evolution. However, SdN is a logically centralized technology with global network-wide view. It faces the problem of scalability and reliability. In this paper, we propose a novel method termed as distributed Intelligence Networking (dIN). dIN optimizes network management based on distributed coordination of multiple forwarding nodes like the coordination in bird flocking motion, it is a fully physically and logically distributed structure based on neighbor network-wide view. This architecture naturally has the advantage of scalability and reliability. © 2019, IFIP International Federation for Information Processing.

关键词： Software defined networking

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Fast Secret Key Generation Based on dynamic Private Pilot from Static Wireless Channels

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China Communications 2018年第11期15卷 171-183页

作者： Yu Huang Liang Jin Hongquan Wei Zhou Zhong Shengjun Zhang National Digital Switching System Engineering and Technological R&D Center Zhengzhou 450002 China.

In static or quasi-static wireless channel environments, secret key generation(SKG) based on wireless channels is vulnerable to active attacks due to the openness and invariance of public pilot, especially man-inthe-middle(MITM) attacks, where attacker acts as a transparent relay to manipulate channel measurements and derive the generated keys. In order to fight against this attack, a dynamic private pilot is designed, where both private pilot and secret key are derived from the characteristics of wireless channels and private to third party. In static or quasi-static environments, we use singular value decomposition techniques to reconstitute the wireless channels to improve the randomness of the wireless channels. Private pilot can encrypt and authenticate the wireless channels, which can make channel state information intercepted by MITM attacker reduced to zero and the SKG rate close to that without attacks. results of analysis and simulation show the proposed SKG scheme can withdraw the MITM attacks.

关键词： dynamic private pilot MITMattacks secret key generation wireless chan-nels physical layer security

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Improving Centralized Path Calculation Based on Graph Compression

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China Communications 2018年第6期15卷 120-124页

作者： Zhenglian Li Lixin Ji ruiyang Huang Shuxin Liu National Digital Switching System Engineering&Technological R&D Center ZhengzhouChina

Shortest-path calculation on weighted graphs are an essential operation in computer networks. The performance of such algorithms has become a critical challenge in emerging software-defined networks(SdN),since SdN controllers need to centralizedly perform a shortest-path query for every flow,usually on large-scale network. Unfortunately,one of the challenges is that current algorithms will become incalculable as the network size increases. Therefore, inspired by the compression graph in the field of compute visualization,we propose an efficient shortest path algorithm by compressing the original big network graph into a small one, but the important graph properties used to calculate path is reserved. We implement a centralized version of our approach in SdN-enabled network,and the evaluations validate the improvement compared with the well-known algorithms.

关键词： graph representation path compression shortest path

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deepMigration: Flow Migration for NFV with Graph-based deep reinforcement Learning

DeepMigration: Flow Migration for NFV with Graph-based Deep ...

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IEEE International Conference on Communications (ICC)

作者： Penghao Sun Julong Lan Zehua Guo di Zhang Xianfu Chen Yuxiang Hu Zhi Liu National Digital Switching System Engineering & Technological R&D Center Beijing Institute of Technology Zhengzhou University VTT Technical Research Centre of Finland Shizuoka University

ISBN: (数字)9781728150895

ISBN: (纸本)9781728150901

Network Function Virtualization (NFV) enables flexible deployment of network services as applications. Network operators expect to use a limited number of Network Function (NF) instances to handle the fluctuating traffic load and provide network services. However, it is a big challenge to guarantee the Quality of Service (QoS) under the unpredictable network traffic while minimizing the processing resources. One typical solution is to realize NF scale-out, scale-in and load balancing by elastically migrating the related traffic flows with Software-defined Networking (SdN). However, it is difficult to optimally migrate flows since many real-time statuses of NF instances should be considered to make accurate decisions. In this paper, we propose deepMigration to solve the problem by efficiently and dynamically migrating traffic flows among different NF instances. deepMigration is a deep reinforcement Learning (drL)-based solution coupled with Graph Neural Network (GNN). By taking advantages of the graph-based relationship deduction ability from our customized GNN and the self-evolution ability from the experience training of drL, deepMigration can accurately model the cost (e.g., migration latency) and the benefit (e.g., reducing the number of NF instances) of flow migration among different NF instances and generate dynamic and effective flow migration policies to improve the QoS. Experiment results show that deepMigration requires less migration cost and saves up to 71.6% of the computation time than existing solutions.

关键词： Noise measurement Quality of service Training Machine learning Load management Artificial neural networks

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A method to defense APT based on dynamic Id transformation 5th

A method to defense APT based on dynamic ID transformation

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5th International Conference on Artificial Intelligence and Security, ICAIS 2019

作者： Nie, delei Yu, Hong Lu, Xiaobin Cui, Chao Information Technology Innovation Center of Tianjin Binhai New Area Tianjin China China National Digital Switching System Engineering and Technological R&D Center ZhengzhouHenan China

ISBN: (纸本)9783030242701

This paper focuses on the security protection of intranets in schools, government agencies, data centers and industrial control information systems, studies the dynamic randomization principle on the network side based on the path hopping and address hoping strategies, and proposes a network Id (including TCP session, port, IP address, MAC address and so on) transition method based on network threat intention. By exploring network threat intention, a system dynamic transition decision-making mechanism is formed to implement the dynamic and uncertain structure of network information system. Thus, the active security defense of network information system can be realized based on existing hardware and software environment with vulnerabilities and backdoors. The experimental results show that this method can effectively enhance the security of network information system. © Springer Nature Switzerland AG 2019.

关键词： Intranets

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Intelligent Computing: The Latest Advances, Challenges and Future

arXiv

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arXiv 2022年

作者： Zhu, Shiqiang Yu, Ting Xu, Tao Chen, Hongyang dustdar, Schahram Gigan, Sylvain Gunduz, deniz Hossain, Ekram Jin, Yaochu Lin, Feng Liu, Bo Wan, Zhiguo Zhang, Ji Zhao, Zhifeng Zhu, Wentao Chen, Zuoning durrani, Tariq S. Wang, Huaimin Wu, Jiangxing Zhang, Tongyi Pan, Yunhe Zhejiang Lab Hangzhou China TU Wien Austria Sorbonne University Paris France Department of Electrical and Electronic Engineering Imperial College London London United Kingdom Department of Electrical and Computer Engineering University of Manitoba Manitoba Canada Faculty of Technology Bielefeld University Bielefeld Germany Chinese Academy of Engineering Beijing China Department of Electronic and Electrical Engineering University of Strathclyde Glasgow United Kingdom National University of Defense Technology Changsha China National Digital Switching System Engineering & Technological R&D Center Zhengzhou China Materials Genome Institute Shanghai University Shanghai China Zhejiang University Hangzhou China

Computing is a critical driving force in the development of human civilization. In recent years, we have witnessed the emergence of intelligent computing, a new computing paradigm that is reshaping traditional computing and promoting digital revolution in the era of big data, artificial intelligence and internet-of-things with new computing theories, architectures, methods, systems, and applications. Intelligent computing has greatly broadened the scope of computing, extending it from traditional computing on data to increasingly diverse computing paradigms such as perceptual intelligence, cognitive intelligence, autonomous intelligence, and human-computer fusion intelligence. Intelligence and computing have undergone paths of different evolution and development for a long time but have become increasingly intertwined in recent years: intelligent computing is not only intelligence-oriented but also intelligence-driven. Such cross-fertilization has prompted the emergence and rapid advancement of intelligent computing. Intelligent computing is still in its infancy and an abundance of innovations in the theories, systems, and applications of intelligent computing are expected to occur soon. We present the first comprehensive survey of literature on intelligent computing, covering its theory fundamentals, the technological fusion of intelligence and computing, important applications, challenges, and future perspectives. We believe that this survey is highly timely and will provide a comprehensive reference and cast valuable insights into intelligent computing for academic and industrial researchers and practitioners. Copyright © 2022, The Authors. All rights reserved.

关键词： Surveys

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