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Design and implementation of a novel enterprise network defense system bymaneuveringmulti-dimensional None

Yang CHEN, Hong-chao HU, Guo-zhen CHENG

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 2,   Pages 238-252 doi: 10.1631/FITEE.1800516

Abstract:

Although the perimeter security model works well enough when all internal hosts are credible, it is becoming increasingly difficult to enforce as companies adopt mobile and cloud technologies, i.e., the rise of bring your own device (BYOD). It is observed that advanced targeted cyber-attacks usually follow a cyber kill chain; for instance, advanced targeted attacks often rely on network scanning techniques to gather information about potential targets. In response to this attack method, we propose a novel approach, i.e., an “isolating and dynamic” cyber defense, which cuts these potential chains to reduce the cumulative availability of the gathered information. First, we build a zero-trust network environment through network isolation, and then multiple network properties are maneuvered so that the host characteristics and locations needed to identify vulnerabilities cannot be located. Second, we propose a software-defined proactive cyber defense solution (SPD) for enterprise networks and design a general framework to strategically maneuver the IP address, network port, domain name, and path, while limiting the performance impact on the benign network user. Third, we implement our SPD proof-of-concept system over a software-defined network controller (OpenDaylight). Finally, we build an experimental platform to verify the system’s ability to prevent scanning, eavesdropping, and denial-of-service attacks. The results suggest that our system can significantly reduce the availability of network reconnaissance scan information, block network eavesdropping, and sharply increase the cost of cyber-attacks.

Keywords： Intranet defense     Software-defined network     Multi-dimensional maneuvering    

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Dynamic user-centric multi-dimensional resource allocation for a wide-area coverage signaling cell based Research Article

Zhou TONG, Na LI, Huimin ZHANG, Quan ZHAO, Yun ZHAO, Junshuai SUN, Guangyi LIU,tongzhou@chinamobile.com,linawx@chinamobile.com,zhanghuiminyjy@chinamobile.com

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 1,   Pages 154-163 doi: 10.1631/FITEE.2200220

Abstract: The rapid development of communications industry has spawned more new services and applications. The sixth-generation wireless communication system () network is faced with more stringent and diverse requirements. While ensuring performance requirements, such as high data rate and low latency, the problem of high energy consumption in the fifth-generation wireless communication system (5G) network has also become one of the problems to be solved in . The technology conforms to the future development trend of radio access networks, and has the advantages of reducing network energy consumption and improving resource utilization. In s, on-demand is an important technical means to ensure the ultimate performance requirements of users, and its effect will affect the efficiency of network resource utilization. This paper constructs a user-centric dynamic allocation model of wireless resources, and proposes a deep Q-network based dynamic resource allocation algorithm. The algorithm can realize dynamic and flexible admission control and in s according to the data rate and latency demands of users. According to the simulation results, the proposed algorithm can effectively improve the average user experience on a long time scale, and ensure network users a high data rate and low energy consumption.

Keywords： 6G     Wide-area coverage signaling cell     Multi-dimensional resource allocation     Deep Q-network (DQN)    

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Multi-dimensional optimization for approximate near-threshold computing

Jing Wang, Wei-wei Liang, Yue-hua Niu, Lan Gao, Wei-gong Zhang,jwang@cnu.edu.cn,zwg771@cnu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 10,   Pages 1413-1534 doi: 10.1631/FITEE.2000089

Abstract: main purpose of research on computer architecture has therefore shifted from improvement to complex multi-objectiveIn this paper, we propose a three-dimensional optimization approach which can effectively identify the
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Emerging theories and technologies on computationalimaging Review

Xue-mei HU, Jia-min WU, Jin-li SUO, Qiong-hai DAI

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 9,   Pages 1207-1221 doi: 10.1631/FITEE.1700211

Abstract: Computational imaging describes the whole imaging process fromthe perspective of light transport and information transmission, featurestraditional optical computing capabilities, and assists in breakingthrough the limitations of visual information recording. Progressin computational imaging promotes the development of diverse basicand applied disciplines. In this review, we provide an overview ofthe fundamental principles and methods in computational imaging, thehistory of this field, and the important roles that it plays in thedevelopment of science. We review the most recent and promising advancesin computational imaging, from the perspective of different dimensionsof visual signals, including spatial dimension, temporal dimension,angular dimension, spectral dimension, and phase. We also discusssome topics worth studying for future developments in computationalimaging.

Keywords： Computational imaging     Multi-scale and multi-dimensional     Super-resolution     Femto-photography     3D reconstruction    

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FAAD: an unsupervised fast and accurate anomaly detectionmethod for amulti-dimensional sequence over Regular Papers

Bin LI, Yi-jie WANG, Dong-sheng YANG, Yong-mou LI, Xing-kong MA

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 3,   Pages 388-404 doi: 10.1631/FITEE.1800038

Abstract: Sequence data in these fields are usually multi-dimensional over the data stream.It is a challenge to design an anomaly detection method for a multi-dimensional sequence over the dataOn the other hand, some studies concerning multi-dimensional sequence concentrate mainly on the staticTo improve the performance of anomaly detection for a multi-dimensional sequence over the data streamFAAD is implemented on the streaming platform Storm to detect multi-dimensional log audit data.

Keywords： Data stream     Multi-dimensional sequence     Anomaly detection     Concept drift     Feature selection    

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Virtual reality system of manned maneuvering unit taking into consideration the disturbance from an astronaut

CHENG Jian, FAN Xiu-min, XU An, HONG Xin, HUANG Wei-dong

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 3,   Pages 282-287 doi: 10.1007/s11465-006-0042-y

Abstract: This paper describes a manned maneuvering unit (MMU) virtual reality system.

Keywords： real-time emendation     disturbance     maneuvering     MMU     correction    

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Scaled boundary finite element method with exact defining curves for two-dimensional linear multi-field

Jaroon RUNGAMORNRAT, Chung Nguyen VAN

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 1,   Pages 201-214 doi: 10.1007/s11709-018-0488-0

Abstract: accurate numerical technique based upon the scaled boundary finite element method for the analysis of two-dimensionalboundary finite element formulation is established in a general framework allowing single-field and multi-field

Keywords： multi-field problems     defining curve     exact geometry     general boundary conditions     SBFEM    

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Amodified variable rate particle filter for maneuvering target tracking

Yun-fei GUO,Kong-shuai FAN,Dong-liang PENG,Ji-an LUO,Han SHENTU

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 11,   Pages 985-994 doi: 10.1631/FITEE.1500149

Abstract: To address the problem of maneuvering target tracking, where the target trajectory has prolonged smoothregions and abrupt maneuvering regions, a modified variable rate particle filter (MVRPF) is proposedSecond, a maneuvering detection strategy is adopted to adaptively adjust the parameters in MVRPF, which

Keywords： Maneuvering target tracking     Prolonged smooth regions     Variable rate model     Maneuver detection    

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Derivation of the multi-model generalized labeled multi-Bernoulli filter: a solution to multi-target Research Articles

Weihua Wu, Yichao Cai, Hongbin Jin, Mao Zheng, Xun Feng, Zewen Guan,weihuawu1987@163.com

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 1,   Pages 1-140 doi: 10.1631/FITEE.2000105

Abstract: By defining a new generalized labeled multi-Bernoulli density, we prove that it is closed under the Chapman-Kolmogorov

Keywords： Multi-maneuvering-target tracking     Multi-model     Generalized labeled multi-Bernoulli filter     Multi-target    

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planning and tracking control of a four-wheel independently driven steered mobile robot with multiple maneuvering

Xiaolong ZHANG, Yu HUANG, Shuting WANG, Gen LI, Yuanlong XIE, Wei MENG

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 3,   Pages 504-527 doi: 10.1007/s11465-020-0626-y

Abstract: Safe and effective autonomous navigation in dynamic environments is challenging for four-wheel independently driven steered mobile robots (FWIDSMRs) due to the flexible allocation of multiple maneuver modes. To address this problem, this study proposes a novel multiple mode-based navigation system, which can achieve efficient motion planning and accurate tracking control. To reduce the calculation burden and obtain a comprehensive optimized global path, a kinodynamic interior–exterior cell exploration planning method, which leverages the hybrid space of available modes with an incorporated exploration guiding algorithm, is designed. By utilizing the sampled subgoals and the constructed global path, local planning is then performed to avoid unexpected obstacles and potential collisions. With the desired profile curvature and preselected mode, a fuzzy adaptive receding horizon control is proposed such that the online updating of the predictive horizon is realized to enhance the trajectory-following precision. The tracking controller design is achieved using the quadratic programming (QP) technique, and the primal–dual neural network optimization technique is used to solve the QP problem. Experimental results on a real-time FWIDSMR validate that the proposed method shows superior features over some existing methods in terms of efficiency and accuracy.

Keywords： mobile robot     multiple maneuvering mode     motion planning     tracking control     receding horizon control    

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Multi-model ensemble deep learning method for intelligent fault diagnosis with high-dimensional samples

Xin ZHANG, Tao HUANG, Bo WU, Youmin HU, Shuai HUANG, Quan ZHOU, Xi ZHANG

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 2,   Pages 340-352 doi: 10.1007/s11465-021-0629-3

Abstract: methods cannot fully extract fault information to recognize mechanical health states when processing high-dimensionalTherefore, a multi-model ensemble deep learning method based on deep convolutional neural network (DCNN) is proposed in this study to accomplish fault recognition of high-dimensional samples.functions are trained through dimension reduction learning to obtain different fault features from high-dimensionalLastly, a 2D DCNN model with multi-layer convolution and pooling is used to automatically learn features

Keywords： fault intelligent diagnosis     deep learning     deep convolutional neural network     high-dimensional samples    

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Competitive binary multi-objective grey wolf optimizer for fast compact antenna topology optimization Research Article

Jian DONG, Xia YUAN, Meng WANG

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 9,   Pages 1390-1406 doi: 10.1631/FITEE.2100420

Abstract: We propose a competitive binary (CBMOGWO) to reduce the heavy computational burden of conventional multi-objectiveThen, the optimization performance of CBMOGWO is verified on 12 standard multi-objective test problems(MOTPs) and four multi-objective knapsack problems (MOKPs) by comparison with the original BMOGWO andthe traditional binary multi-objective particle swarm optimization (BMOPSO).example of a compact high-isolation dual-band multiple-input multiple-output (MIMO) antenna with high-dimensional

Keywords： Antenna topology optimization     Multi-objective grey wolf optimizer     High-dimensional mixed variables    

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Experimental Study on the Damage Effect of Projectile Explosive in Multi-layer Medium

Zhou Ning,Ren Huiqi,Shen Zhaowu,Liu Ruichao

Strategic Study of CAE 2006, Volume 8, Issue 8,   Pages 56-60

Abstract:

Based on the shape，volume and area of dent in multi-layered target created by kinetic projectile explosiveThe damage zoning was founded in multi-layered target.

Keywords： mechanics of explosion     multi-layer medium     dimensional analysis     damage zoning    

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Optimum design of a channel roughened by dimples to improve cooling performance

Abdus SAMAD, Ki-Don LEE, Kwang-Yong KIM, Jin-Hyuk KIM,

Frontiers in Energy 2010, Volume 4, Issue 2,   Pages 262-268 doi: 10.1007/s11708-010-0012-2

Abstract: The channel is simulated with the help of three-dimensional Reynolds-averaged Navier-Stokes (RANS) analysisThree non-dimensional design variables based on dimple size and channel dimensions and two objectivesA weighted-sum method for multi-objective optimization is applied to integrate multiple objectives into

Keywords： Staggered     three-dimensional Reynolds-averaged     multi-objective optimization     reference     transfer    

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Three-dimensional stability analysis of the dam foundation at Baise

XU Qianjun, LI Xu, CHEN Zuyu

Frontiers of Structural and Civil Engineering 2007, Volume 1, Issue 2,   Pages 217-221 doi: 10.1007/s11709-007-0026-y

Abstract: It is usually difficult to determine the actual safety factors of rock masses in an ordinary two-dimensionalA three-dimensional stability analysis method based on the upper-bound theorem was employed to solvethat a special overflow dam monolith can be considered to be safe in case of considering the three dimensional

Keywords： ordinary two-dimensional     randomly     monolith     three-dimensional stability     different    

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Title Author Date Type Operation

Design and implementation of a novel enterprise network defense system bymaneuveringmulti-dimensional

Yang CHEN, Hong-chao HU, Guo-zhen CHENG

Journal Article

Dynamic user-centric multi-dimensional resource allocation for a wide-area coverage signaling cell based

Zhou TONG, Na LI, Huimin ZHANG, Quan ZHAO, Yun ZHAO, Junshuai SUN, Guangyi LIU,tongzhou@chinamobile.com,linawx@chinamobile.com,zhanghuiminyjy@chinamobile.com

Journal Article

Multi-dimensional optimization for approximate near-threshold computing

Jing Wang, Wei-wei Liang, Yue-hua Niu, Lan Gao, Wei-gong Zhang,jwang@cnu.edu.cn,zwg771@cnu.edu.cn

Journal Article

Emerging theories and technologies on computationalimaging

Xue-mei HU, Jia-min WU, Jin-li SUO, Qiong-hai DAI

Journal Article

FAAD: an unsupervised fast and accurate anomaly detectionmethod for amulti-dimensional sequence over

Bin LI, Yi-jie WANG, Dong-sheng YANG, Yong-mou LI, Xing-kong MA

Journal Article

Virtual reality system of manned maneuvering unit taking into consideration the disturbance from an astronaut

CHENG Jian, FAN Xiu-min, XU An, HONG Xin, HUANG Wei-dong

Journal Article

Scaled boundary finite element method with exact defining curves for two-dimensional linear multi-field

Jaroon RUNGAMORNRAT, Chung Nguyen VAN

Journal Article

Amodified variable rate particle filter for maneuvering target tracking

Yun-fei GUO,Kong-shuai FAN,Dong-liang PENG,Ji-an LUO,Han SHENTU

Journal Article

Derivation of the multi-model generalized labeled multi-Bernoulli filter: a solution to multi-target

Weihua Wu, Yichao Cai, Hongbin Jin, Mao Zheng, Xun Feng, Zewen Guan,weihuawu1987@163.com

Journal Article

planning and tracking control of a four-wheel independently driven steered mobile robot with multiple maneuvering

Xiaolong ZHANG, Yu HUANG, Shuting WANG, Gen LI, Yuanlong XIE, Wei MENG

Journal Article

Multi-model ensemble deep learning method for intelligent fault diagnosis with high-dimensional samples

Xin ZHANG, Tao HUANG, Bo WU, Youmin HU, Shuai HUANG, Quan ZHOU, Xi ZHANG

Journal Article

Competitive binary multi-objective grey wolf optimizer for fast compact antenna topology optimization

Jian DONG, Xia YUAN, Meng WANG

Journal Article

Experimental Study on the Damage Effect of Projectile Explosive in Multi-layer Medium

Zhou Ning,Ren Huiqi,Shen Zhaowu,Liu Ruichao

Journal Article

Optimum design of a channel roughened by dimples to improve cooling performance

Abdus SAMAD, Ki-Don LEE, Kwang-Yong KIM, Jin-Hyuk KIM,

Journal Article

Three-dimensional stability analysis of the dam foundation at Baise

XU Qianjun, LI Xu, CHEN Zuyu

Journal Article