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Embedding Attribute and Relation Information for Person Entity Alignment

Embedding Attribute and Relation Information for Person Enti...

引用

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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Recommendation of cyber attack method based on knowledge graph

Recommendation of cyber attack method based on knowledge gra...

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Computer engineering and Intelligent Control (ICCEIC) International Conference on

作者： Yunjia Ou Tianyang Zhou Junhu Zhu State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (数字)9781728185736

ISBN: (纸本)9781728185743

The lack of correlation between the new cyber attack intelligence and the knowledge database makes it difficult for the recommendation system to recommend effective cyber attack knowledge in terms of the new security intelligence. This paper proposes an cyber attack method intelligence recommendation algorithm based on knowledge graph. Firstly, it proposes a cyber attack knowledge graph construction scheme based on four kinds of open security databases. Then, based on the idea of collaborative filtering recommendation, the meta-path is introduced to describe different relations between nodes. At last, the recommendation list could be generated by calculating the correlation score of each path with node vector. Compared with the content-based recommendation method, the effectiveness of this method is proved.

关键词： Knowledge engineering Correlation Databases Knowledge based systems Security Cyberattack Intelligent control

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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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One Wide-Sense Circuit Tree per Traffic Class Based Inter-domain Multicast

One Wide-Sense Circuit Tree per Traffic Class Based Inter-do...

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International Conference on Networking, Architecture, and Storage (NAS)

作者： Chen Yue Li Chaoling Huang Kaixiang Zhang Xiaobo State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

Traditional multicast protocol forms multicast trees rooted at different sources to forward packets. If the multicast sources and receivers are in different domains, these trees will produce a great number of multicast states in the backbone, resulting in poor scalability. Therefore, we propose a one Wide-Sense Circuit Tree per Traffic Class based inter-domain multicast (WSCT-TC), in which a Wide-Sense Circuit Tree (WSCT) is established for a class of multicast traffic. The WSCT is established in the backbone, along which multicast packets are forwarded by label switching. The spec of WSCT can be reconfigured according to the QoS (Quality of Service) requirement of multicast applications, to provide preferable QoS. Simulating experiment shows that WSCT-TC behaves better scalability.

关键词： Switches Receivers IP networks Quality of service Routing protocols Internet

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ALEmu: A Framework for Application-layer Programs Emulation of Embedded Devices

ALEmu: A Framework for Application-layer Programs Emulation ...

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International Conference on Computer engineering and Applications (ICCEA)

作者： Heng He Xiaobing Xiong Yuntian Zhao State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

The difference between real devices and virtual environments causes a low success rate of application-layer program emulation when the firmware is operating in full-system emulation during the dynamic analysis of the firmware of embedded devices. In this paper, we propose ALEmu, an emulation framework for application-layer programs, which can effectively improve the emulation success rate of application-layer programs in embedded device firmware through automatic preprocessing of target programs, building configuration libraries, and hooking external program calls. When we test ALEmu on a variety of real-world devices, including routers and IP cameras, we find that it performs more successfully and accurately than the current state-of-the-art full-system emulation frameworks like Firmadyne and FirmAE.

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A method of metamorphic relations constructing for object-oriented software testing

A method of metamorphic relations constructing for object-or...

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ACIS International Conference on Software engineering, Artificial Intelligence, Networking, and Parallel/Distributed computing (SNPD)

作者： Xinglong Zhang Lei Yu Xuemei Hou State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

To solve the Oracle problem of methods sequence in object-oriented software testing, a method of metamorphic relations constructing for object-oriented software testing based on algebraic specification was proposed. Firstly, metamorphic relations constructing criteria for object-oriented testing was defined based on the characteristics of object-oriented software program. Then metamorphic relations were constructed based on GFT algorithm (Generating a Finite Number of Test Case). Finally the metamorphic relations were improved according to these criteria. The improved method was verified through constructing IntStrack class and SavAcc class metamorphic relations. The experiment results show that the metamorphic relations redundancy is decreased significantly. So the new method has a low metamorphic relations redundancy and improves the efficiency of software testing.

关键词： Testing Observers

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A Software Upgrade Security Analysis Method on Network Traffic Classification using Deep Learning

A Software Upgrade Security Analysis Method on Network Traff...

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Urban engineering and Management Science (ICUEMS), International Conference on

作者： Bing Zhang State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (数字)9781728188324

ISBN: (纸本)9781728188331

Nowadays, the vulnerability in the software upgrade process are extremely harmful to network security. However, the detection of upgrade vulnerability is facing serious difficulties and problems. Aiming at the current software upgrade vulnerability analysis problem, we propose a neural network model for traffic classification based on two levels of data packets and network flows. This method does not need to manually extract features and can learn the dependency relationship between data packets and networks well. It can make full use of comprehensive flow features for traffic classification. In order to evaluate the model, we built a dataset of software upgrade vulnerabilities and conducted relevant experiments on the CICIDS 2017 dataset. The experimental results show that compared with other RNN models, our model has the best performance, reaching a precision of 99.86% and an F1 score of 99.44%. At the same time, based on the pre-trained model, we use the software upgrade vulnerability dataset to fine-tuning the model, with the F1 score reaching 99.78%.

关键词： Conferences Software Measurement

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The Speedup Model for Manycore Processor

The Speedup Model for Manycore Processor

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International Conference on Information Science and Cloud computing Companion (ISCC-C)

作者： Nan Ye Ziyu Hao Xianghui Xie State Key Laboratory of Mathematical Engineering and Advanced Computing Wuxi China

ISBN: (纸本)9781479952465

Integrating a large number of simple cores on the chip to provide the desired performance and throughput, microprocessor has entered the many core era. In order to fully extract the ability of the many core processor, we propose speedup models for many core architecture in this paper. Under the assumption of Hill-Marty model, we deduce our formulas based on Gustafson's Law and Sun-Ni's Law. Then, compared with the Hill-Marty model, we theoretically analyze the best allocation under the given resources. Furthermore, we apply the conclusions of our models to evaluate current many core processors and predict concrete future architecture. Our results show that the many core architecture is capable of extensive scalability and being beneficial to promote the performance, especially heterogeneous one. By using simple analytical models, we provide a better understanding of architecture design and our work complement existing studies.

关键词： Computational modeling Computer architecture Complexity theory Analytical models Parallel processing Predictive models Resource management

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Leveraging Markov chain and optimal mutation strategy for smart fuzzing

Leveraging Markov chain and optimal mutation strategy for sm...

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ICINS 2014 - 2014 International Conference on Information and Network Security

作者： Yongji Ouyang Zehui Wu Qing Mu Qingxian Wang State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9781510804289

Fuzz testing is an important way of vulnerability discovery, however, the existing fuzzers based on symbolic execution and others have inherent shortcomings like needing more computing resource, in-depth analysis and so on. To solve above problems, this paper presents a smart fuzzing method based on Markov chain. Firstly, this method optimizes the testing input sample to get the minimal sample set. Secondly, this method records program execution information by using instrument, and makes a Markov model about state. Finally, this method uses Markov chain to detect the change of execution path, and leads tester to choose better samples to mutate. Meanwhile, we analyse mutation strategies in depth for better triggering exception. Experimental data shows that the presented method can help fuzzer to generate effective test samples. We discovers 51 vulnerabilities in software like WPS, along with the code coverage increases of nearly 49% comparing with zzuf and the average exception discovery rate increase nearly 9 times comparing with MiniFuzz.

关键词： Markov chain Mutation strategies Smart fuzzing Vulnerability discovery Markov chain PILLING execution path WPS

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Fully secure decentralized ciphertext-policy attribute-based encryption in standard model 14th

Fully secure decentralized ciphertext-policy attribute-based...

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14th International Conference on Information Security and Cryptology, Inscrypt 2018

作者： Ma, Chuangui Ge, Aijun Zhang, Jie Army Aviation Institute Beijing China Key Laboratory of Cryptologic Technology and Information Security Ministry of Education Shandong University Jinan China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9783030142339

In this paper, we introduce a new multi-authority ciphertext policy attribute-based encryption (MA-CP-ABE) system. In our system, there are multiple central authorities (CAs) and attribute authorities (AAs). The CAs will not need to coordinate or even be aware of each other, and so do the AAs. In particular, we present two constructions that will be proved secure in the standard model. Our first scheme is fully secure under static assumptions in composite-order bilinear group, and can work for any monotone access structure. The second one achieves constant size ciphertexts for AND-gate policy in prime-order group. The security can be proved under the decisional linear (DLIN) assumption. © 2019, Springer Nature Switzerland AG.

关键词： Cryptography

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