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A Continuous Authentication Protocol Without Trust Authority for Zero Trust Architecture

China Communications 2022年第8期19卷 198-213页

作者： Lei Meng Daochao Huang Jiahang An Xianwei Zhou fuhong lin School of Computer and Communication Engineering University of Science and Technology BeijingBeijing 100083China National Computer Network Emergency Response Technical Team/Coordination Center of China(CNCERT/CC) Beijing 100029China Shunde Graduate School of University of Science and Technology Beijing Guangdong528399China

Zero-trust security is a novel concept to cope with intricate access,which can not be handled by the conventional perimeter-based architecture anymore.The device-to-device continuous authentication protocol is one of the most crucial cornerstones,especially in the IoT scenario.In the zero-trust architecture,trust does not rely on any position,person or device.However,to the best of our knowledge,almost all existing device-to-device continuous authentication relies on a trust authority or a node to generate secret keys or secret values.This is betrayed by the principle of zero-trust architecture.In this paper,we employ the blockchain to eliminate the trusted node.One node is chosen to produce the public parameter and secret keys for two entities through the practical Byzantine fault tolerance consensus mechanism.Additionally,the devices are categorized into three folds:trusted device,suspected device and untrusted device.Only the first two can participate in authentication,and they have different lengths of security parameters and intervals to reach a better balance between security and efficiency.Then we prove the security of the initial authentication part in the eCK model and give an informal analysis of the continuous authentication part.Finally,we implement the proposed protocol on simulated devices.The result illustrates that our scheme is highly efficient,and the continuous authentication only costs around 0.1ms.

关键词： continuous authentication zero-trust architecture device-to-device blockchain IoT

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A Task-Resource Joint Management Model with Intelligent Control for Mission-Aware Dispersed Computing

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China Communications 2021年第10期18卷 214-232页

作者： Chengcheng Zhou Chao Gong Hongwen Hui fuhong lin Guangping Zeng School of Computer and Communication Engineering University of Science and Technology BeijingBeijing 100083P.R.China Fifteenth Research Institute of China Electronic Science and Technology Group Corporation Beijing 100083P.R.China Shunde Graduate School of University of Science and Technology Beijing Foshan 528399P.R.China

Dispersed computing can link all devices with computing capabilities on a global scale to form a fully decentralized network,which can make full use of idle computing resources.Realizing the overall resource allocation of the dispersed computing system is a significant challenge.In detail,by jointly managing the task requests of external users and the resource allocation of the internal system to achieve dynamic balance,the efficient and stable operation of the system can be guaranteed.In this paper,we first propose a task-resource joint management model,which quantifies the dynamic transformation relationship between the resources consumed by task requests and the resources occupied by the system in dispersed computing.Secondly,to avoid downtime caused by an overload of resources,we introduce intelligent control into the task-resource joint management model.The existence and stability of the positive periodic solution of the model can be obtained by theoretical analysis,which means that the stable operation of dispersed computing can be guaranteed through the intelligent feedback control strategy.Additionally,to improve the system utilization,the task-resource joint management model with bi-directional intelligent control is further explored.Setting control thresholds for the two resources not only reverse restrains the system resource overload,but also carries out positive incentive control when a large number of idle resources appear.The existence and stability of the positive periodic solution of the model are proved theoretically,that is,the model effectively avoids the two extreme cases and ensure the efficient and stable operation of the system.Finally,numerical simulation verifies the correctness and validity of the theoretical results.

关键词： dispersed computing computing resource management intelligent control

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Amygdala-Inspired Affective Computing: to Realize Personalized Intracranial Emotions with Accurately Observed External Emotions

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China Communications 2019年第8期16卷 115-129页

作者： Chao Gong fuhong lin Xianwei Zhou Xing Lü School of Computer and Communication Engineering University of Science and Technology Beijing

Artificial intelligence technology has revolutionized every industry and trade in recent years. However, its own development is encountering bottlenecks that it is unable to implement empathy with human emotions. So affective computing is getting more attention from researchers. In this paper, we propose an amygdala-inspired affective computing framework to realize the recognition of all kinds of human personalized emotions. Similar to the amygdala, the instantaneous emergency emotion is first computed more quickly in a low-redundancy convolutional neural network compressed by pruning and weight sharing with hashing trick. Then, the real-time process emotion is identified more accurately by the memory level neural networks, which is good at handling time-related signals. Finally, the intracranial emotion is recognized in personalized hidden Markov models. We demonstrate on Facial Expression of Emotion Dataset and the recognition accuracy of external emotions(including the emergency emotion and the process emotion) reached 85.72%. And the experimental results proved that the personalized affective model can generate desired intracranial emotions as expected.

关键词： affective computing emotion recognition personalized machines external emotions intracranial emotions

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A Novel Secure Data Transmission Scheme in Industrial Internet of Things

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China Communications 2020年第1期17卷 73-88页

作者： Hongwen Hui Chengcheng Zhou Shenggang Xu fuhong lin School of Computer and Communication Engineering University of Science and Technology Beijing

The industrial Internet of Things(IoT)is a trend of factory development and a basic condition of intelligent factory.It is very important to ensure the security of data transmission in industrial IoT.Applying a new chaotic secure communication scheme to address the security problem of data transmission is the main contribution of this paper.The scheme is proposed and studied based on the synchronization of different-structure fractional-order chaotic systems with different order.The Lyapunov stability theory is used to prove the synchronization between the fractional-order drive system and the response system.The encryption and decryption process of the main data signals is implemented by using the n-shift encryption principle.We calculate and analyze the key space of the scheme.Numerical simulations are introduced to show the effectiveness of theoretical approach we proposed.

关键词： industrial Internet of Things data transmission secure communication fractional-order chaotic systems

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SECURITY ISSUES IN EMERGING EDGE COMPUTING

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China Communications 2020年第10期17卷 4-5页

作者： fuhong lin Lei Yang Xianwei Zhou department of Computer and Communication Engineering University of Science and Technology Beijing Princeton University School of Electrical Computer and Energy Engineering Arizona State University Department of Computer Science and Engineering University of Nevada Department of Communication Engineering School of Computer and Communication Engineering University of Science and Technology Beijing

Edge computing is an emerging technology for revolutionarily tackling the network bottlenecks of cloud-device ecosystems. There are about 20 billion edge devices connected to the Internet, with 507.9 ZB data generated...

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Dispersed Computing Resource Discovery Model and Algorithm for Polymorphic Migration Network Architecture

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Chinese Journal of Electronics 2023年第4期32卷 821-839页

作者： ZHOU Chengcheng ZHANG Lukai ZENG Guangping lin fuhong School of Computer and Communication Engineering University of Science and Technology Beijing Transport Planning and Research Institute Ministry of Transport

Dynamic resource discovery in a network of dispersed computing resources is an open problem. The establishment and maintenance of resource pool information are critical, which involves both the polymorphic migration of the network and the time and energy costs resulting from node selection and frequent interactions of information between nodes. The resource discovery problem for dispersed computing can be considered a dynamic multi-level decision problem. A bi-level programming model of dispersed computing resource discovery is developed, which is driven by time cost, energy consumption and accuracy of information acquisition. The upper-level model is to design a reasonable network structure of resource discovery, and the lower-level model is to explore an effective discovery mode. Complex network topology features are used for the first time to analyze the polymorphic migration characteristics of resource discovery networks. We propose an integrated calibration method for energy consumption parameters based on two discovery modes(i.e., agent mode and self-directed mode). A symmetric trust region based heuristic algorithm is proposed for solving the system model. The numerical simulation is performed in a dispersed computing network with multiple modes and topological states, which proves the feasibility of the model and the effectiveness of the algorithm.

关键词： Dispersed computing Resource discovery Polymorphic migration network Bi-level programming model Heuristic algorithm

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QoS Guaranteed Pre-Pushing Scheme in Peer-Assisted Streaming Network

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China Communications 2014年第A2期11卷 111-117页

作者： lin fuhong LU Xing School of Computer and Communication Engineering University of Science and Technology Beijing Beijing 100083 P. R. China School of Science Beijing Jiaotong University Beijing 100044 P. R. China

In peer-assisted streaming network, service provider needs to pre-pushing resources to some users for caching. This scheme can increase the resource availability. In traditional strategy, in order to guarantee the user's quality of service (QoS), the pre-pushing action can only start at the time point that the certain user has not used the computer for more than 20 minutes. If the user comes back, the pre-pushing action will be stopped. We claim that this is not an efficient scheme. In this paper, we propose a novel pre-pushing scheme to improve the pre-pushing efficiency, while meeting the user's QoS requirements. The basic idea is using the user's available bandwidth as much as possible in the condition of meeting the user's QoS requirements. Then we design an available bandwidth calculating strategy. The numerical simulation demonstrates that our proposed scheme outperforms the traditional one.

关键词： QoS保证媒体网络对等 QoS要求服务质量可用带宽传统方法服务提供商

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A QoS Guarantee Service Serving Model in LEO Satellite Networks Based on Differential Game

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China Communications 2014年第A2期11卷 128-134页

作者： LIU Qian ZHAO Ming lin fuhong School of Computer and Communication Engineering University of Science and Technology Beijing Beijing 100083 P. R. China Hotan Teachers College Hetian 848000 Xinjiang P. R. China

Low Earth Orbit (LEO) satellites networks can provide multimedia service and plays an increasingly important role in the exploitation of space. However, one of the challenges in LEO satellites networks is that the services are suffered from high symbol error, limited storage space and limited available energy. To analyze the performance of the service in LEO satellites networks, a model, based on differential game, is proposed for satisfying the QoS requirements of multimedia applications. The controller of our model is the transmitting rate and the object is to maximize the payoff depending on the error symbol rate, the available energy, the bandwidth and the process ability so as to guarantee the QoS service. In order to solve our built model, we use the Bellman theorem to make formulas on the trance of the optimal transmitting rate. Furthermore, simulation results verify that the service can be maximized by using our derived transmitting rate trance.

关键词： LEO卫星网络服务模式 QoS保障博弈微分低地球轨道存储空间多媒体服务

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Steiner Tree Based Optimal Resource Caching Scheme in Fog Computing

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China Communications 2015年第8期12卷 161-168页

作者： SU Jingtao lin fuhong ZHOU Xianwei Lü Xing School of Computer and Communication Engineering University of Science and Technology Beijing School of Science Beijing Jiaotong University

Fog Computing is a new platform that can serve mobile devices in the local area. In Fog Computing, the resources need to be shared or cached in the widely deployed Fog clusters. In this paper, we propose a Steiner tree based caching scheme, in which the Fog servers, when caching resources, first produce a Steiner tree to minimize the total path weight(or cost) such that the cost of resource caching using this tree could be minimized. Then we give a running illustration to show how the Fog Computing works and we compare the traditional shortest path scheme with the proposed one. The outcome shows that the Steiner tree based scheme could work more efficiently.

关键词： Steiner树缓存资源计算最短路径移动设备服务器最小化

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Towards green for relay in InterPlaNetary Internet based on differential game model

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Science China(Information Sciences) 2014年第4期57卷 65-73页

作者： lin fuhong LIU Qian ZHOU XianWei XIONG Ke School of Computer and Communication Engineering University of Science and Technology Beijing School of Computer and Information Technology Beijing Jiaotong University State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University

InterPlaNetary Internet(IPN)plays a very important role in the exploitation of space.However,the relays in IPN are suffered from high symbol error,limited storage space,and limited available energy.To analyze the performance of the relay in IPN,in this article,we build a differential game model,where the controller is transmitting rate,and the goal is to maximize the payoff according to the symbol error rate,the storage space and the available energy in the system.By such a design,the green relays can be achieved for IPNs,which could prolong the live of the relays.Since the model is not easy to discuss,we analyze it using the Bellman theorem and then get some formulas on the trace of the optimal transmitting rate.Finally,extensive simulation results are presented to demonstrate the performance of our proposed model,which shows that by using our derived optimal transmitting rate trace,the relay’s payoff can be maximized.

关键词： IPN differential game symbol error limited storage space energy efficiency

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