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检索条件"机构=State Key Lab of Mathematical Engineering and Advanced Computing"

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Path planning of UAV base station based on deep reinforcement learning 12

Path planning of UAV base station based on deep reinforcemen...

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12th International Conference on Identification, Information and Knowledge in the internet of Things, IIKI 2021

作者： Yang, Siming Shan, Zheng Cao, Jiang Gao, Yuan Guo, Yang Wang, Ping Wang, Xiaonan Wang, Jing Zhang, Tingting Guo, Jiayu State Key Laboratory of Mathematical Engineering and Advanced Computing Henan Zhengzhou450001 China Academy of Military Science of the PLA Beijing100091 China Network Technology Research Center of the PLA Beijing100090 China

UAV base station platform has become the current research hotspot of assisting ground base station for wireless *** present, the most important issue is how to make path planning to provide the stable communication guarantee for multiple mobile users. In this article, we model the air-to-ground channel to describe the path loss between the UAV platform and the user and build a simulation environment for training based on the OpenAI-GYM architecture. In addition, this paper proposes a reinforcement learning algorithm based on intrinsic rewards, which uses the mean square error of the state prediction results to quantify the novelty of the state. Algorithms enable agents to efficiently carry out strategy iterations. Experiments results showed that our algorithm has a higher score and takes less time. © 2022 The Authors. Published by Elsevier B.V.

关键词： Deep learning Deep reinforcement learning UAV path planning Wireless communication coverage

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Non-malleability under selective opening attacks: Implication and separation 13th

Non-malleability under selective opening attacks: Implicatio...

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13th International Conference on Applied Cryptography and Network Security, ACNS 2015

作者： Huang, Zhengan Liu, Shengli Mao, Xianping Chen, Kefei Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai200240 China School of Science Hangzhou Normal University Hangzhou310036 China State Key Laboratory of Mathematical Engineering and Advanced Computing Wuxi214000 China

ISBN: (纸本)9783319281650

We formalize the security notions of non-malleability under selective opening attacks (NM-SO security) in two approaches: the indistinguishability-based approach and the simulation-based approach. We explore the relations between NM-SO security notions and the known selective opening security notions, and the relations between NM-SO security notions and the standard non-malleability notions. © Springer International Publishing Switzerland 2015.

关键词： Public key cryptography

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RDGFuzz: A directed greybox fuzzing optimization method based on Rich-Branch nodes 6

RDGFuzz: A directed greybox fuzzing optimization method base...

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6th International Conference on Electronic Information Technology and Computer engineering, EITCE 2022

作者： Wu, Zejun Lu, Li Jia, Qiong Chen, Zhihao State Key Laboratory of Mathematical Engineering and advanced Computing Zheng zhou China National Local Joint Engineering Laboratory of Network Space Security Technology Zheng zhou China Beijing Institute of Computer Technology and Application BeiJing China

ISBN: (纸本)9781450397148

Directed fuzzing technology is one of the key technologies to quickly reach a specific location of software, and to conduct targeted testing or bug recurrence. However, directed fuzzing technology has some problems, such as unreasonable seed energy allocation, low code coverage and incomplete testing. To solve the above problems, this paper proposes an optimization method of directed fuzzing based on Rich-Branch nodes. In this method, the concept of Rich-Branch nodes is defined and the algorithm of extracting Rich-Branch nodes is given. The optimization method collects the coverage information of the target program in the running process, calculates the weights of covered functions and nodes in real time by combining CG and CFG of the target program, and generates a list of Rich-Branch nodes. According to the weights of Rich-Branch nodes, the seed energy allocation algorithm of AFLGo is optimized and improved. Compared with AFLGo, this optimization method improves the average code coverage of each targeted point by 56.79%, and has the same target reaching ability as AFLGo. © 2022 Association for computing Machinery.

关键词： Software testing

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ODCP: Optimizing Data Caching and Placement in Distributed File System Using Erasure Coding 17th

ODCP: Optimizing Data Caching and Placement in Distributed F...

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17th IFIP WG 10.3 International Conference on Network and Parallel computing, NPC 2020

作者： Wu, Shuhan Li, Yunchun Yang, Hailong Luan, Zerong Li, Wei School of Computer Science and Engineering Beihang University Beijing100191 China College of Life Sciences and Bioengineering Beijing University of Technology Beijing100083 China State Key Laboratory of Mathematical Engineering and Advanced Computing Wuxi214125 China

ISBN: (纸本)9783030794774

Many current distributed file systems use erasure-coding based data redundancy techniques to improve the reliability of data storage. Such techniques can significantly improve the effective storage utilization. However, there are several drawbacks to the above techniques. Firstly, they introduce non-negligible computation overhead for decoding. Secondly, traditional data caching and placement strategies become less effective in such cases. To solve the above drawbacks, this paper proposes a new data cache allocation mechanism based on simulated annealing and a new data placement strategy based on convex optimization, which effectively reduces data block transmission delay and decoding delay. We have implemented the proposed data placement strategy in the real-world distributed file system Alluxio, and evaluated the performance of our strategy. Experiment results show that our strategy can significantly reduce the file read delay compared to traditional data placement strategies. © 2021, IFIP International Federation for Information Processing.

关键词： Convex optimization

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An OFDM based interference reducing scheme with trajectory and resource optimization for UAV-powered IoT Networks 34

An OFDM based interference reducing scheme with trajectory a...

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34th General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2021

作者： Gao, Yuan Cao, Jiang Guo, Yang Wang, Ping Yang, Siming Wang, Jing Lu, Weidang Si, Peiyuan Zhao, Ming Wu, Xiao Academy of Military Science of the PLA 100091 China College of Information Engineering Zhejiang University of Technology Hangzhou China Tsinghua University Beijing100084 China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou450001 China

ISBN: (纸本)9789463968027

The massive and pervasive deployment of sensors for information collecting in IoT networks result to the scarcity of energy. Unmanned aerial vehicle (UAV) enabled wireless power transfer (WPT) is a feasible solution to provide energy for pervasively deployed sensors. In this paper, we propose an orthogonal frequency division multiplexing (OFDM) based interference reducing scheme with trajectory and resource optimization for UAV-powered IoT networks. The simulation results show that our proposed scheme outperforms two benchmark schemes in sum transmission rate. © 2021 URSI.

关键词： Orthogonal frequency division multiplexing

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Preparation and Simulation of Quantum states of Matrices 6

Preparation and Simulation of Quantum States of Matrices

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6th International Conference on Electronic Information Technology and Computer engineering, EITCE 2022

作者： Liu, Zhengyu Liu, Xiaonan Xie, Haoshan Zhao, Chenyan School of Computer and Artificial Intelligence Zhengzhou University Zhengzhou450000 China National Supercomputing Center in Zhengzhou Zhengzhou450000 China State Key Laboratory of Mathematical Engineering and Advanced Computing Information Engineering University Zhengzhou450000 China

ISBN: (纸本)9781450397148

A basic problem of quantum computing is how to effectively express classical data in quantum systems. This problem is called state preparation problem, and the process of preparing quantum states is called coding. In this paper, the classical data of matrix is transformed into quantum states in the form of amplitude coding and simulated. This paper first introduces the detailed process of matrix transformation into the linear combination of quantum ground state, then designs a quantum circuit model to realize amplitude coding according to the idea of binary tree model and quantum random walk algorithm, and finally simulates the three matrices on IBM quantum cloud platform, and analyzes and introduces many situations. The experimental results verify the feasibility of converting the matrix into quantum states by amplitude coding, analyze the causes of errors in the experimental process, and put forward the corresponding solutions. This paper introduces in detail the whole process of matrix conversion to quantum states and the construction of quantum circuits for simulation. Compared with the existing experiments, the quantum circuits constructed in this paper are shorter in length, less in number of quantum gates, and more versatile. © 2022 Association for computing Machinery.

关键词： Matrix algebra

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swRodinia: A Benchmark Suite for Exploiting Architecture Properties of Sunway Processor 3rd

swRodinia: A Benchmark Suite for Exploiting Architecture Pr...

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3rd BenchCouncil International Symposium on Benchmarking, Measuring, and Optimizing, Bench 2020

作者： Chen, Bangduo Li, Mingzhen Yang, Hailong Luan, Zhongzhi Gan, Lin Yang, Guangwen Qian, Depei School of Computer Science and Engineering Beihang University Beijing100191 China State Key Laboratory of Mathematical Engineering and Advanced Computing Wuxi Jiangsu214125 China Department of Computer Science and Technology Tsinghua University Beijing100084 China

ISBN: (纸本)9783030710576

The Sunway processor has been demonstrated with superior performance by various scientific applications, domain specific frameworks and numerical algorithms. However, the optimization techniques that can fully exploit the architecture features are usually buried deep in large code bases, which prevents average programmers to understand such optimization techniques. Thus, the existing complex software fails to provide guidance for more programs embracing the computation power of Sunway processor. In this paper, we build a benchmark suite swRodinia by porting and optimizing the well-known Rodinia benchmark on Sunway processor. Specifically, we demonstrate several optimization techniques by tailoring the benchmarks to better leverage the architecture features for higher performance. Moreover, based on the optimization experiences, we derive several useful insights from both software and hardware perspectives, that not only guide the better utilization of current Sunway processor, but also reveal the direction of hardware improvements for future Sunway processor. We open source the swRodinia benchmark suite and encourage the community to enhance the benchmark with us continuously. © 2021, Springer Nature Switzerland AG.

关键词： Open source software

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Misleading Image Classification with Multi-shearing and Random Padding 22

Misleading Image Classification with Multi-shearing and Rand...

引用

Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer engineering

作者： Chenwei Li Zheming Li Bo Yang Hengwei Zhang State Key Laboratory of Mathematical Engineering and Advanced Computing Henan Key Laboratory of Information Security China

ISBN: (纸本)9781450397148

Neural networks are vulnerable when input data is applied with human-imperceptible perturbations, which is called adversarial examples. When used in image classification models, adversarial examples mislead neural netwoks to classify images with wrong labels, posing great threat to network security. White-box attack has achieved considerable success rate, for the model structure is already known. But black-box attack remains to be improved, so as to the transferability. We refer to the model augmentation method in network training process, and apply to generating adversarial examples to reduce overfitting. Consulting fundamental methods in adversarial examples, we propose a multi-cropping transformation method to alleviate overfitting and enhance transferability. Firstly, referring to data augmentation, we multi-crop original images in every iteration with random possibilities in adversarial exaples generating process. Secondly, the gradient of model loss function is calculated, and the perturbations are added to original images. Finally, we generate adversarial examples with iterative perturbations. The validation of our method is verified on single models and ensemble models, and the transferability is improved, compared to other fundamental methods.

关键词： Transferability Image shearing Neural networks Adversarial examples Image padding

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Constructing PLC Binary Program Model for Detection Purposes

Constructing PLC Binary Program Model for Detection Purposes

引用

1st International Conference on advanced Algorithms and Control engineering, ICAACE 2018

作者： Chang, Tianyou Wei, Qiang Geng, Yangyang Zhang, Hongwei State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou Henan450001 China People's Bank of China Center Branch of Zhoukou City Zhoukou Henan466000 China

Programmable Logic Controller (PLC) programs are vulnerable to tampering attacks with addition of malware, which can substantially cause severe physical destructions. In order to solve the problems, We propose a static analysis method of Binary PLC programs for the detection of PLC malwares. Firstly, disassemble the binary program into STL program. Secondly, constructed the control flow graph of STL program according to the characteristics of STL language. Thirdly, generate the program execution paths according to traverse the control flow graph and analysis loop paths. Finally the PLC program output and input mapping relations are obtained based on the program execution paths. The experiment shows that the proposed method has achieved the analysis of PLC programs and get each path predicate and the mapping relation between output and input. © Published under licence by IOP Publishing Ltd.

关键词： Malware

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Publicly Verifiable Private Set Intersection from Homomorphic Encryption 8th

Publicly Verifiable Private Set Intersection from Homomorph...

引用

8th International Symposium on Security and Privacy in Social Networks and Big Data, SocialSec 2022

作者： Jiang, Yuting Wei, Jianghong Pan, Jing Xidian University Xi’an710071 China State Key Laboratory of Mathematical Engineering and Advanced Computing PLA Strategic Support Force Information Engineering University Zhengzhou450001 China Guangzhou Institute of Technology Xidian University Guanzhou510555 China

ISBN: (纸本)9789811972416

Private Set Intersection (PSI) enables two mistrusting parties to securely evaluate the intersection of their private inputs, without revealing any additional information. With its wide application in privacy protection, it is required to ensure the correctness of the evaluation, especially in conventional client-server setting (also known as unbalanced PSI). Unfortunately, most existing work cannot verify the integrity of the data and the correctness of the evaluation. In this paper, we propose a new publicly verifiable private set intersection protocol in the malicious setting, based on oblivious pseudo-random function (OPRF), fully homomorphic encryption (FHE), and verifiable computation (VC). The key tool to obtain our new protocol is a new publicly verifiable inner product computation on encrypted data. The protocol supports public verification for computation correctness and integrity under preserving privacy with less round number (only requiring 2 rounds), allows batching technique under Residue Number System (RNS). That is used for enhancing the FHE. Also, we implement our protocol, and the result is close to the most effective unbalanced PSI. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Numbering systems

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