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检索条件"机构=Beijing Key Laboratory of Network Security and Protection Technology"

共 676 条记录，以下是161-170 订阅

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Multi-attribute Context-Aware Item Recommendation Method Based on Deep Learning 5

Multi-attribute Context-Aware Item Recommendation Method Bas...

引用

5th International Conference on Pattern Recognition and Artificial Intelligence, PRAI 2022

作者： Li, Shuxin Duan, Lijuan Zhang, Wenbo Wang, Wenjian Beijing University of Technology Beijing Key Laboratory of Trusted Computing Faculty of Information Technology Beijing China Beijing University of Technology China Natl. Eng. Laboratory for Critical Technologies of Information Security Classified Protection Faculty of Information Technology Beijing China

ISBN: (数字)9781665499163

ISBN: (纸本)9781665499163

With the wide application of deep learning in the field of recommendation, item recommendation has gradually become a new hotspot. The existing item recommendation methods ignore the context relationship between multiple attributes and fail to make full use of the potential structural interaction relationship. This paper proposes a new multi-attribute context-aware item recommendation method (MCIR) based on deep learning to recommend a series of suitable items for characters in the match. The attribute attention encoder (AAE) module proposed in this method mainly decouples the local and global features of multiple attributes, and the global multiple aggregation (GMA) module integrates the obtained context features in a graph structure. Extensive experiments on the kaggle public game dataset show that our method significantly outperforms previous methods in terms of Precision, F1 and MAP compared to other existing methods. © 2022 IEEE.

关键词： Deep learning

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Improved tripartite concurrent signature

Improved tripartite concurrent signature

引用

2010 2nd International Conference on Computer technology and Development, ICCTD 2010

作者： Ge, Haihui Sun, Yanbin Gu, Lize Zheng, Shihui Yang, Yixian Information Security Center State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing 100876 China Key Laboratory of Network and Information Attack and Defense Technology MOE Beijing University of Posts and Telecommunications Beijing 100876 China

ISBN: (纸本)9781424488438

The concrete tripartite concurrent signature scheme designed by Susilo et aI. is found being unambiguity. In other words, any fourth party can identify who is the real signer of the publicly available valid signatures before the keystone is released. In order to overcome this flaw, we proposed an improved concrete tripartite concurrent signature (iCTCS) scheme based on the ring signature. Every user can choose his keystone to guarantee the fairness in the proposed scheme. However, the performance analysis results show that the iCTCS scheme is existentially unforgeable under a chosen message attack in the random oracle, and satisfies correctness, ambiguity and fairness. © 2010 IEEE.

关键词： Concretes

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BPN: Bidirectional Path network for Instance Segmentation 1st

BPN: Bidirectional Path Network for Instance Segmentation

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1st CAAI International Conference on Artificial Intelligence, CICAI 2021

作者： Xu, Fan Duan, Lijuan Qiao, Yuanhua Faculty of Information Technology Beijing University of Technology Beijing China Peng Cheng Laboratory Beijing University of Technology Beijing China Beijing Key Laboratory of Trusted Computing Beijing University of Technology Beijing China National Engineering Laboratory for Key Technologies of Information Security Level Protection Beijing University of Technology Beijing China College of Mathematics and Physics Beijing University of Technology Beijing China

ISBN: (纸本)9783030930486

The feature pyramid network (FPN) has achieved impressive results in the field of object detection and instance segmentation by aggregating features of different scales, especially the detection of small objects. However, for some special large objects (such as tables, chairs, etc.), It is difficult to achieve good results for FPN. In this paper, we propose a new simple but effective network, the Bidirectional Path network (BPN), for the problems that FPN cannot solve. In simple terms, it consists of a top-to-down FPN and bottom-to-up FPN. This bidirectional network structure can greatly enrich high-level semantic information and improve the detection effect of these large objects. And we also introduce dense connections to enrich the output features further. We tested our method on the COCO dataset. Firstly, on the object detection task, our method obtains comparable results with the state-of-the-art benchmark. Then, on the instance segmentation task, our method also achieved good results. © 2021, Springer Nature Switzerland AG.

关键词： Object detection

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Steganalysis of MSU Stego Video based on discontinuous coefficient

Steganalysis of MSU Stego Video based on discontinuous coeff...

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2010 2nd International Conference on Computer Engineering and technology, ICCET 2010

作者： Wu, Jia Zhang, Ru Chen, Ming Niu, Xinxin Information Security Center State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing 100876 China Key Laboratory of Network and Information Attack and Defence Technology of MOE Beijing University of Posts and Telecommunications Beijing 100876 China

ISBN: (纸本)9781424463503

MSU(Moscow State University) Stego Video is a public video steganographic tool. It uses a specific data distribution mode to load secret data, so that the message can be extracted correctly even the stego video are compressed. In this paper, based on the analysis of the distribution characteristics of the embedded data, a detection algorithm against MSU embedding is proposed by utilizing the difference of block artifacts distribution between natural frames and stego frames. The algorithm can reliably detect the existence of hidden data. It is easy to implement and computationally efficient, and is suitable for real-time detection. © 2010 IEEE.

关键词： Signal detection

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Design of a high security GSM/UMTS inter-system

Design of a high security GSM/UMTS inter-system

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1st International Conference on Information Science and Engineering, ICISE2009

作者： Zhang, Lei Guo, Shize Zheng, Kangfeng Li, Zhongxian Key Laboratory of Network and Information Attack and Defence Technology of MOE Beijing University of Post and Telecommunications 100088 Beijing China Information Security Center State Key Laboratory of Networking and Switching Technology Beijing University of Post and Telecommunications 100088 Beijing China National Cybernet Security Ltd. 100088 Beijing China

ISBN: (纸本)9780769538877

GSM and UMTS mobile radio network will coexist for a few years. security of interoperation between GSM and UMTS becomes more important. This paper proposes a high security GSM/UMTS inter-system which supports all possible network roaming and provides high security service for both GSM and UMTS subscriber. The paper discusses the architecture of proposed system and authentication procedure in different network environment. The high security GSM/UMTS is efficient in GSM and UMTS coexistence environment in future through a comparison with previous GSM/UMTS inter-system. © 2009 Crown Copyright.

关键词： Authentication

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A self-supervised feature selection algorithm for spectral embedding based on block HSIC lasso 5

A self-supervised feature selection algorithm for spectral e...

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2022 5th International Conference on Advanced Algorithms and Control Engineering, ICAACE 2022

作者： Guo, Yajing Duan, Lijuan Xie, Chenyao Zhang, Wenbo Faculty of Information Technology Beijing University of Technology Beijing100124 China Beijing Key Laboratory of Trusted Computing Beijing100124 China Natl. Engineering Laboratory for Critical Technologies of Information Security Classified Protection Beijing100124 China

With the rapid development of information technology, a large amount of unlabeled high-dimensional data has been generated. To be able to better handle these data, we propose a new self-supervised feature selection algorithm for spectral embedding based on block HSIC lasso (FSSBH). It innovatively applies the HSIC theoretical approach to unlabeled scenarios for feature importance assessment, and performs feature selection by self-supervised learning with the pseudo-label matrix formed by the spectral embedding. The algorithm is compared with five popular algorithms for classification experiments on seven publicly available datasets. The results show the superior performance of the FSSBH algorithm. © Published under licence by IOP Publishing Ltd.

关键词： Feature Selection

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Knowledge Graph Embedding Method Based on Entity Metric Learning 23

Knowledge Graph Embedding Method Based on Entity Metric Lear...

引用

9th International Conference on Computing and Artificial Intelligence, ICCAI 2023

作者： He, Meng Duan, Lijuan Zhang, Baochang Han, Shengwen Faculty of Information Technology Beijing University of Technology Beijing Key Laboratory of Trusted Computing National Engineering Laboratory for Key Technologies of Information Security Level Protection China Institute of Artificial Intelligence Beihang University China Faculty of Information Technology Beijing University of Technology China

ISBN: (纸本)9781450399029

A knowledge graph is a knowledge base of graph structure that stores massive facts and their relations in the form of triplets. Embedding entities and relations in knowledge graph into low-dimensional continuous vector space is of great significance for downstream tasks, whereas most existing methods give an end-to-end fixed representation. Based on deep metric learning, we give different embeddings for the same entity in different relations and positions, thus dynamically representing entities in knowledge graph and effectively modeling complex relations. In addition, a path-based negative sampling method is proposed to widen the distance between similar entities to better deal with the aggregation problem of embedding entities in the representation space under one-to-many relation. Experiments show that the MRR and Hit@1 of this method on the linked prediction dataset FB15k-237 reach 0.360 and 0.267 respectively, which are higher than the mainstream distance models and semantic matching models. Finally, the MRR-Dimension curves demonstrates that our model can perform well in both low and high embedding dimensions and has the potential to be applied to large-scale knowledge graph. © 2023 Copyright held by the owner/author(s).

关键词： Knowledge graph

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Whether android applications broadcast your private information: A naive Bayesian-based analysis approach 30

Whether android applications broadcast your private informat...

引用

30th International Conference on Software Engineering and Knowledge Engineering, SEKE 2018

作者： Lin, Li Ni, Jian Mao, Xinya Zhang, Jianbiao College of Computer Science Faculty of Information Technology Beijing University of Technology Beijing100124 China Beijing Key Laboratory of Trusted Computing Beijing100124 China National Engineering Laboratory for Classified Information Security Protection Beijing100124 China

ISBN: (纸本)1891706446

With the rapid development of android smart terminals, android applications are exhibiting explosive growth. However, there remains a challenging issue facing android system, a malicious application may broadcast user's private information. In this paper, we propose a Naive Bayesian-based approach for analyzing private information leakage under the android broadcast mechanism, which calls BRbysA. Firstly, broadcast actions registered in *** are picked up statically by keyword matching technique. Secondly, with the Xposed framework, the broadcast actions specified at run time are discovered by hooking broadcast callback onReceive() function. Combining the above two ways, we can capture all real-Time broadcast actions in an android application. Thirdly, we adopt Naive Bayesian learning algorithm, all broadcast actions which involved in users' privacy leakage are analyzed and classified. Finally, we evaluate the proposed approach by using the dataset from Drebin and Google Play. © 2018 Universitat zu Koln. All rights reserved.

关键词： Android (operating system)

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A new dance generation task from start to end 2

A new dance generation task from start to end

引用

2020 2nd International Conference on Artificial Intelligence Technologies and Application, ICAITA 2020

作者： Xu, Xiao Duan, Lijuan Faculty of Information Technology Beijing University of Technology Beijing100124 China Beijing Key Laboratory of Trusted Computing Beijing100124 China Natl. Engineering Laboratory for Critical Technologies of Information Security Classified Protection Beijing100124 China

The dance generation task is an interesting task. The general task is to predict the next dance sequence through a given initial frame, or to convert from music to dance through audio information. However, these works cannot control the direction of dance generation and lack suitable ground truth to evaluate the generated results. In our work, we give the start frame and the end frame, which can effectively solve the above problems, and can also be understood as a standardized new task. Our experimental results show that through a two-stream CNN network, we can well complete the new task that we proposed. © 2020 Published under licence by IOP Publishing Ltd.

关键词： Audio acoustics

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OPTIMIZING MULTI-INPUT SCHEDULING FOR FUZZING TEST USING BAYESIAN ALGORITHM WEIGHT OPTIMIZATION 10

OPTIMIZING MULTI-INPUT SCHEDULING FOR FUZZING TEST USING BAY...

引用

10th International Symposium on Test Automation and Instrumentation, ISTAI 2024

作者： Fang, Junzhe Wang, Liyong Ji, Haojie Guo, Teng Hu, Te Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing China Zaozhuang Network Security Guarantee Center Zaozhuang China

ISBN: (纸本)9781837242672

As a major software testing method, fuzzing has the potential to enhance testing coverage and detect a great number of software vulnerabilities in complex code programs. The current fuzzy testing for multiple input parameters lacks an effective calling mechanism and treats all variant parameter equally, resulting in low efficiency. This paper presents a fuzzy testing method based on Bayesian algorithm for scheduling parameters. Firstly, it combines the characteristics of input parameters to match the appropriate variation strategy. Secondly, it utlizes the Bayesian algorithm to automatically generate weight values for the objective function index during sufficient testing. It evaluates test cases with multi-parameter inputs according to these weights and selects parameters with high utilization value for multiple tests. Finally, in order to evaluate the effectiveness of the method of this paper, an application programming interface of Amercian fuzzy lop (AFL-API) is developed based on the typical fuzzy testing tool AFL++, and compared with AFL++ as a fuzzy testing tool. The experimental results demonstate that when using the AFL-API for program testing, there was 47% increase in coverage rate, 52% increase in the number of discovered crashes, and more program vulnerabilities were identified during actual testing. © The Institution of Engineering & technology 2024.

关键词： Software testing

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