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International Conference on Communication Technology (ICCT)

作者： Zeyan Liu Jianshan Pen State Key Laboratory of Mathematical Engineering and Advanced Computing Zhenzhou China

ISBN: (数字)9781728181417

ISBN: (纸本)9781728181424

HTTPS protocol is utilized to protect personal privacy in network communication by man-in-the-middle attacks. However, after the browser is attacked, this protection mechanism will be destroyed. This paper analyzes the vulnerability of https protocol under two scenarios of operating system and network data transmission. Based on the untrusted situation, the possibility of implementing HTTPS protocol injection and page injection on the browser side was analyzed. A traffic monitoring and detection scheme based on dynamic rules is proposed, which can effectively detect whether the browser is injected with malicious code. False positive is less than 10%.

关键词： Protocols Servers Browsers Encryption Public key Malware Kernel

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Deep Learning based Recommedation System: A Review of Recent Works

Deep Learning based Recommedation System: A Review of Recent...

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IEEE Information Technology and Mechatronics engineering Conference (ITOEC)

作者： Meiling Wang Xiaonan Liu Lina Jing State key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (数字)9781728143231

ISBN: (纸本)9781728143248

The research upsurge of recommendation system and deep learning makes the deep learning based recommendation system become an inevitable trend. Through the introduction of the latest research of deep learning based recommendation, we present the current popular research directions in the recommendation field and provide a comprehensive review of various advanced technologies. Finally, we propose a new viewpoint on the future development of deep learning based recommendation system.

关键词： Machine learning Motion pictures Collaboration Predictive models Filtering Manuals Feature extraction

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The various graphs in graph computing 1

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22nd Annual Conference on Computer engineering and Technology, NCCET 2018

作者： Sun, Rujun Zhang, Lufei State Key Laboratory of Mathematical Engineering and Advanced Computing Wuxi China

ISBN: (数字)9789811359194

ISBN: (纸本)9789811359187

The world is full of relationships, and graph is the most evident representation for them. With the increasing of data scale, graphs become larger and have encountered a new world of analyzing. What can we learn from a graph? How many kinds of graphs are there? How different is graph from one area to that from another? All these questions need answers, but previous research on graph computing mainly focused on computing frameworks and systems, paying little attention to graph itself. In this paper, we studied graphs of different kinds, different scales and different mining methods, trying to give a sketcher and classification of graph categories. Besides, we studied characters and analyzed algorithms in each category. We researched public graph datasets to show current graph scale and its trend for future infrastructure. © 2019, Springer Nature Singapore Pte Ltd.

关键词： Graphic methods

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An Efficient Sieve Algorithm with Evolutionary Technique

An Efficient Sieve Algorithm with Evolutionary Technique

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International Conference on Communication Technology (ICCT)

作者： Zedong Sun Chunxiang Gu Yonghui Zheng State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (数字)9781728181417

ISBN: (纸本)9781728181424

Sieve algorithm plays an important role in solving the shortest vector problem, which is one of the most representative hard lattice problems. In this paper, we propose an efficient sieve algorithm with evolutionary techniques. By combining Gauss Sieve algorithm with global selection, we propose an efficient sieve algorithm. Experimental results show that our algorithm performs better than FPLLL's Gauss Sieve algorithm in solving the shortest vector problem. Furthermore, we explore how mutation behaves in accelerating sieve algorithm.

关键词： Conferences Diversity reception Lattices Communications technology Cryptography Acceleration

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Software Deployment Strategy Based on Performance and Heterogeneity

Software Deployment Strategy Based on Performance and Hetero...

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IEEE Information Technology and Mechatronics engineering Conference (ITOEC)

作者： Hao Liu Zheng Zhang Zhenwu Liu Gaofei Zhang Yufeng Zhao State key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (数字)9781728143231

ISBN: (纸本)9781728143248

In the current cyberspace field, the positions of offensive and defensive parties are extremely imbalanced. Aiming at the weakness of web virtual hosting in this paper, we combine software diversity technology to build a heterogeneous software variant library, and propose a software deployment strategy based on software performance and heterogeneity. Considering the attributes of the software and the structural characteristics of the network topology comprehensively, we implement the software deployment of each virtual site in the network topology. Our analysis shows that our deployment strategy can make the heterogeneity and performance of the entire network topology reach a high level, and further improve the security of complex network environment. Finally, we use the real-world network topologies to verify the feasibility of our method.

关键词： Security Cloud computing Complex networks Web services Software algorithms

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Network Topology Change Detection Based on Statistical Process Control 20

Network Topology Change Detection Based on Statistical Proce...

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4th High Performance computing and Cluster Technologies Conference, HPCCT 2020 and the 3rd International Conference on Big Data and Artificial Intelligence, BDAI 2020

作者： Liu, Yan Liu, Lian Yan, Yu State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China Investigation Technology Center PLCMC Beijing China First Affiliated Hospital of Chongqing Medical University Chongqing China

ISBN: (纸本)9781450375603

Network topology is one of the most important parts in network security situation awareness tasks. Considering that the topology may change due to network intrusion, adjustment of routing policies, etc., the traditional static topology analysis methods cannot capture the dynamic change of network topology with time, which leads to the problem of weak early warning ability. To find out the small trend changes of the network topology over time, a network topology change detection method is proposed based on statistical process control: 1) to simplify the continuous dynamics of network topology, the observation network is regarded as a sampling sequence of the topological networks that dynamically change with time, a longitudinal topological network is constructed;2) to quantify the differences of network structure from multiple perspectives, network structure parameters of each period are selected and measured;3) to find out the trendy structural change in the longitudinal topological network, the cumulative sum method in industrial control is introduced to evaluate the change of topological parameters and further track to the starting time of change. Extensive experiments are performed on the simulation data, showing that compared with simple parameter statistics method, the method proposed can be sensitive to network changes and trace back to the beginning of the trend change. © 2020 ACM.

关键词： Network topology

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Embedding Attribute and Relation Information for Person Entity Alignment

Embedding Attribute and Relation Information for Person Enti...

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International Conference on Big Data and Information Analytics (BigDIA)

作者： Can Wang Xiaonan Liu Meijuan Yin State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (数字)9781665422321

ISBN: (纸本)9781665446662

Person entity alignment is to distinguish whether the person entity information extracted from different data sources refer to the same entity. Existing methods mainly use attribute and relation information of entity to solve entity alignment problem. Most of them are based on common information of entity, while ignore some non-common but semantically similar attribute information and they only consider the relation between first-order adjacent entity, which makes it difficult to accurately align entity in the case of scarcity of common information. so we propose a person entity alignment method based on joint embedding of attribute and relation information, which makes full use of non-common but related information of entity to align them and improves the Hit@k of alignment results when common information is sparse. In the method, the representation vector of attribute information and the representation vector of relation information are obtained by embedding. During embedding, we consider the identification of different attributes and the second-order relation between entities to improve the role of feature attributes and the second-order relation in entity alignment. When calculating the similarity of entities, binary linear regression model is used to fit the weight of attribute information and relation information similarity, so as to adapt to the different characteristics of the entity data under different circumstances. The experimental results show that, compared with the related methods, the Hit@1 value and Hit@10 value of the proposed method increased by more than 8.4% and more than 9.1% respectively.

关键词： Adaptation models Linear regression Big Data Data models Data mining

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Pre-ictal causal connectivity reveals the epileptic network characteristics for deep brain stimulation

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Neuroscience 2025年 579卷 329-343页

作者： Yifan Wang Tao Yu Yulan Ma Weigang Cui Xueyuan Wang Liankun Ren Yang Li Department of Automation Science and Electrical Engineering Beihang University Beijing 100191 China. Beijing Institute of Functional Neurosurgery Department of Functional Neurosurgery Xuanwu Hospital Capital Medical University Beijing 100053 China. School of Engineering Medicine Beihang University Beijing 100191 China. Department of Neurology Xuanwu Hospital Capital Medical University Beijing 100053 China. Beijing Advanced Innovation Center for Big Data and Brain Computing State Key Laboratory of Virtual Reality Technology and Systems Department of Automation Science and Electrical Engineering Beihang University Beijing 100191 China. Electronic address: liyang@***.

Deep brain stimulation of anterior nucleus of the thalamus (ANT-DBS) is an effective clinical treatment for drug-resistant focal epilepsy. However, the complex epileptic network characteristics underlying ANT-stimulation effectiveness remain unknown, owing to currently unclear connectivity between ANT and seizure-related cortex in pre-ictal periods. Here, we developed a novel individualized pre-ictal ANT-cortical tripartite connectivity network (PANT-CTCNet), aiming to reveal epileptic network characteristics using intracranial stereo-electroencephalography (sEEG) recordings in five patients with focal epilepsy for 90 trials. Each trial represented a pre-ictal or post-stimulus sEEG duration, which was used to construct the epileptic network. By employing conditional Granger causality, we constructed individualized ANT-cortical connectivity networks and found a common epileptic network centred on ANT closely connected with seizure-related cortex in pre-ictal periods. After ANT stimulation for clinical validation, strengthened pre-ictal connectivity between ANT and epileptogenic zones led to significant decline in the causal intensity of epileptic networks. The PANT-CTCNet can give a quantitative reference for clinical preoperative evaluation of patient suitability for ANT-DBS treatment. These findings regarding epileptic network characteristics provide theoretical basis in the selection of optimal surgical candidates for personalized ANT-DBS.

关键词： Anterior nucleus of the thalamus Epilepsy Epileptic network characteristics Neuromodulation Stereo-electroencephalography

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Optimal Strategy Selection of Dynamic Protocol Stack Based on Game Theory

Optimal Strategy Selection of Dynamic Protocol Stack Based o...

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IEEE International Conference on Software engineering and Service Sciences (ICSESS)

作者： Zhengke He Bin Lu State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (数字)9781728165790

ISBN: (纸本)9781728165806

Mobile target defense technology not only protects system security, but also increases the cost of system operation. How to reduce the defense cost as much as possible while achieving the defense function is a current research point. This article proposes a dynamic protocol stack for sniffing attacks. By constructing a protocol stack that dynamically transforms the protocol format, it increases the difficulty of the attacker's reverse analysis of the protocol format, so that even if the attacker captures the data packet, he cannot obtain the sensitive data carried in it. At the same time, based on the idea of dynamic protocol stack, this paper uses dynamic game with incomplete information as the theoretical basis to establish a multi-stage mobile target defense game model. Through quantitative analysis of the costs and benefits of both offense and defense, the optimal defense strategy for attacks of varying degrees of damage is selected. Finally, the feasibility and effectiveness of the model are proved through simulation experiments.

关键词： Protocols Statistical analysis Systems operation Games Transforms Security Software engineering

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Cluster-Based Routing Algorithm for WSN Based on Subtractive Clustering

Cluster-Based Routing Algorithm for WSN Based on Subtractive...

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International Wireless Communications and Mobile computing Conference, IWCMC

作者： Ling Chen Wenwen Liu Daofu Gong Yan Chen State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (数字)9781728131290

ISBN: (纸本)9781728131306

The Cluster-based Routing Algorithm for Wireless Sensor Network based on Subtractive Clustering (SCC algorithm) generates nodes of cluster head in dense area of the node by relying on subtractive clustering. The application of this algorithm effectively solves the attribution problem of non-cluster head node in conventional algorithms, and consumption is evenly distributed throughout the network. Through simulation experiments, it can be found that the application of the SCC algorithm can map the distribution of nodes of cluster head reasonably and delay the death time of the first node to prolong the lifetime of network and balance the energy consumption of nodes.

关键词： Clustering algorithms Wireless sensor networks Routing Routing protocols Base stations Electronic mail Energy consumption

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