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arXiv 2018年

作者： Humayoo, Mahammad Cheng, Xueqi CAS Key Laboratory of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences Beijing100190 China University of Chinese Academy of Sciences Beijing100190 China

Off-policy learning is more unstable compared to on-policy learning in reinforcement learning (RL). One of the reasons for instability of off-policy learning is a discrepancy between target (π) and behavior (b) policy distribution. The discrepancy between π and b distribution can be alleviated by employing the smooth variant of importance sampling (IS), such as relative importance sampling (RIS).The RIS has parameter β ∈ [0, 1] that controls the smoothness. To cope with the instability of off-policy learning, we present the first relative importance sampling-off-policy actor-critic (RIS-off-PAC) model-free algorithms in RL. In our method, A network yields the target policy (actor), the value function (critic) assessing the current policy (π) using samples drawn from the behavior policy. We use action values generated from the behavior policy in reward function to train our algorithms rather than from the target policy. We also use deep neural networks to train both the actor and critic. We evaluated our algorithms on a number of OpenAI Gym problems and demonstrated better or comparable performance to several state-of-the-art RL baselines. Copyright © 2018, The Authors. All rights reserved.

关键词： Reinforcement learning

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A note on two constructions of zero-difference balanced functions

arXiv

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arXiv 2018年

作者： Yi, Zongxiang Yu, Yuyin Tang, Chunming Zheng, Yanbin School of Mathematics and Information Science Guangzhou University Guangzhou510006 China Key Laboratory of Information Security School of Mathematics and Information Science Guangzhou University Guangzhou510006 China School of Computer Science and Network Security Dongguan University of Technology Dongguan523808 China Guangxi Key Laboratory of Cryptography and Information Security Guilin University of Electronic Technology Guilin541004 China

Notes on two constructions of zero-difference balanced (ZDB) functions are made in this letter. Then ZDB functions over Ze × Îik=0 Fqi are obtained. And it shows that all the known ZDB functions using cyclotomic cosets over Zn are special cases of a generic construction. Moreover, applications of these ZDB functions are presented. Copyright © 2018, The Authors. All rights reserved.

关键词： Frequency hopping

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Secure communication scheme analysis via complex networks

Secure communication scheme analysis via complex networks

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作者： Ding, Yong Xiong, Ning He, En Li, Kezan School of Computer Science and Information Security Guangxi Key Laboratory of Cryptography and Information Security Guilin University of Electronic Technology Guilin541004 China School of Mathematics and Computing Science Guangxi Key Laboratory of Cryptography and Information Security Guilin University of Electronic Technology Guilin541004 China

Recently, some existing works have introduced novel way to construct complex networks from embedded time series, which provides new sights into the organizational properties of the time series in phase space. In this paper, we attempt to answer the fundamental question of "how much information regarding the dynamic property of the original time series can be extracted from these networks." To this end, we propose a new method for reconstructing time series from the networks. We compare the reconstructed time series from these networks and that from the recurrence plot. We find that these networks contain topological information of the embedded time series to a certain degree. In general, they are more powerful than the recurrence plot method in the reconstruction of embedded time series. In addition, we study a new generalized projective synchronization (GPS) of coupled complex dynamical networks with different sizes via feedback control and impulsive control. Based on the stability analysis of impulsive system, a network synchronization criterion is established. These works may find potential application for secure communication via networks. Copyright © 2017 John Wiley & Sons, Ltd.

关键词： Time series

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Andro-MD: Android malware detection based on convolutional neural networks

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International Journal of Performability Engineering 2018年第3期14卷 547-558页

作者： Xie, Nannan Di, Xiaoqiang Wang, Xing Zhao, Jianping School of Computer Science and Technology Changchun University of Science and Technology Changchun130022 China Jilin Provincial Key Laboratory of Network and Information Security Changchun130022 China School of Computer Science and Information Technology Beijing Jiaotong University Beijing100044 China

Android OS maintains its dominance in smart terminal markets, which brings growing threats of malicious applications (apps). The research on Android malware detection has attracted attention from both academia and industry. How to improve the malware detection performance, what classifiers should be selected, and what features should be employed are all critical issues that need to be solved. Convolutional Neural networks (CNN) is a typical deep learning technique that has achieved great performance in image and speech recognitions. In this work, we present an Android malware detection framework Andro-MD that can train and classify samples with a deep learning technique. The framework includes dataset construction and feature preprocessing, training and classification by CNN, and evaluation by experiments. First, an Android app dataset is constructed with 21,000 samples collected from third-party markets and 34,570 features of 7 categories. Second, we employ sequential and parallel models to train the extracted features and classify the malware apps. Finally, extensive experimental results show the effectiveness and feasibility of the proposed method. Comparisons with similar work and traditional classifiers show that Andro-MD has a better performance on malware detection, and its accuracy can achieve 99.25% with a FPR of 0.53%. The request permissions and used permissions feature categories have better performances with limited dimensions. © 2018 Totem Publisher, Inc. All rights reserved.

关键词： Convolution

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Corrigendum to “Assessment of precipitation extremes and their association with NDVI, monsoon and oceanic indices over Pakistan” [Atmospheric Research 292 (2023) 106873]

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Atmospheric Research 2023年 294卷

作者： Azfar Hussain Ishtiaq Hussain Shaukat Ali Waheed Ullah Firdos Khan Abolfazl Rezaei Safi Ullah Haider Abbas Asima Manzoom Jianhua Cao Jinxing Zhou International Research Center on Karst under the Auspices of UNESCO Institute of Karst Geology Chinese Academy of Geological Sciences Guilin 541004 China Department of Applied Mathematics Chung Yuan Christian University Chung-Li 32023 Taiwan Global Change Impact Study Centre Ministry of Climate Change Islamabad Pakistan Defense and Security Rabdan Academy Abu Dhabi 114646 United Arab Emirates School of Natural Sciences National University of Sciences and Technology H-12 Campus Islamabad 44000 Pakistan Department of Earth Sciences Institute for Advanced Studies in Basic Sciences Zanjan 45137–66731 Iran Department of Atmospheric and Oceanic Sciences and & Institute of Atmospheric Sciences Fudan University Shanghai 200433 China Synthesis Research Centre of Chinese Ecosystem Research Network Key Laboratory of Ecosystem Network Observation and Modelling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 China Department of Sociology Fatima Jinnah Women University Rawalpindi 44000 Pakistan Jianshui Research Station School of Soil and Water Conservation Beijing Forestry University Beijing 100083 China

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Spatiotemporal Knowledge Distillation for Efficient Estimation of Aerial Video Saliency

arXiv

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arXiv 2019年

作者： Li, Jia Fu, Kui Zhao, Shengwei Ge, Shiming State Key Laboratory of Virtual Reality Technology and Systems School of Computer Science and Engineering Beihang University Beijing100191 China Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University Beijing100191 China Institute of Information Engineering Chinese Academy of Sciences Beijing100095 China School of Cyber Security at University of Chinese Academy of Sciences Beijing100095 China

—The performance of video saliency estimation techniques has achieved significant advances along with the rapid development of Convolutional Neural networks (CNNs). However, devices like cameras and drones may have limited computational capability and storage space so that the direct deployment of complex deep saliency models becomes infeasible. To address this problem, this paper proposes a dynamic saliency estimation approach for aerial videos via spatiotemporal knowledge distillation. In this approach, five components are involved, including two teachers, two students and the desired spatiotemporal model. The knowledge of spatial and temporal saliency is first separately transferred from the two complex and redundant teachers to their simple and compact students, and the input scenes are also degraded from high-resolution to low-resolution to remove the probable data redundancy so as to greatly speed up the feature extraction process. After that, the desired spatiotemporal model is further trained by distilling and encoding the spatial and temporal saliency knowledge of two students into a unified network. In this manner, the inter-model redundancy can be further removed for the effective estimation of dynamic saliency on aerial videos. Experimental results show that the proposed approach outperforms ten state-of-the-art models in estimating visual saliency on aerial videos, while its speed reaches up to 28,738 FPS on the GPU platform. Copyright © 2019, The Authors. All rights reserved.

关键词： Students

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RETRACTED ARTICLE: Cloud enabled robust authenticated key agreement scheme for telecare medical information system

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Connection Science 2021年第4期33卷 I页

作者： Liu, Tian Liu, Xuchong Li, Xiong Amin, Ruhul Liang, Wei Meng-Yen, Hsieh School of Computer Science and Engineering Hunan University of Science and Technology Xiangtan People's Republic of China Hunan Provincial Key Laboratory of Network Investigational Technology Hunan Police Academy Changsha People's Republic of China Institute for Cyber Security School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu People's Republic of China Department of Computer Science and Engineering Dr. SPM International Institute of Information Technology Naya Raipur India College of Computer Science and Electronic Engineering Hunan University Changsha People's Republic of China Deptment of Computer Science and Information Engineering Providence University Taichung Taiwan

We, the authors, Editors and Publisher of the journal Connection Science, have retracted the following article:Tian Liu, Xuchong Liu, Xiong Li, Ruhul Amin, Wei Liang & Meng-Yen Hsieh (2021) Cloud enabled robust authenticated key agreement scheme for telecare medical information system, Connection Science, DOI: 10.1080/09540091.2021.1901072Since publication, the authors identified some technical issues that they had overlooked. In general, biometrics are data that owns fuzzy properties but the authors in this paper have neglected this technical point and the biometric information was authenticated using a hash function. Since the output of a hash function is sensitive to the input it cannot be applied to verify the validity of fuzzy data such as biometrics. Since this scheme is based on a hash function for biometric verification, it must not be used in real applications. The authors alerted the issue to the Editor and Publisher and all have agreed to retract the article to ensure the integrity of the scholarly *** have been informed in our decision-making by our policy on publishing ethics and integrity and the COPE guidelines on *** retracted article will remain online to maintain the scholarly record, but it will be digitally watermarked on each page as ‘Retracted’.

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A Design of Direct Memory Access Controller for Wireless Communication SoC in Power Grid

A Design of Direct Memory Access Controller for Wireless Com...

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International Conference on Circuits, System and Simulation (ICCSS)

作者： Yingying Chi Zhe Zheng Research Department of Smart Chip Global Energy Interconnection Research Institute Co. Ltd. Beijing China State Grid Key Laboratory of Information & Network Security State Grid Laboratory of Electric Power Communication Network Technology Beijing China

ISBN: (纸本)9781538678206

This paper presents a complete Register Transfer Level (RTL) design of Direct Memory Access (DMA) controller which is compliable with the Advanced Highperformance Bus (AHB). The DMA is integrated in Cortex-M3-based system-on-chip (SoC) designed for power-grid-dedicated wireless communication system based on IEEE 802.11ah protocol. The hardware implementation and prototype verification indicate that by allowing hardware devices working at different frequencies to communicate with each other without relying on the heavy outage load of CPU, the proposed DMA controller realizes the good convergence with the whole system and improves the overall performance with low power consumption.

关键词： Registers Hardware Writing Wireless communication Data transfer System-on-chip

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Self-Evolutionary Neuron Model for Fast-Response Spiking Neural networks

TechRxiv

引用

TechRxiv 2019年

作者： Zhang, Anguo Han, Ying Hu, Jing Niu, Yuzhen Gao, Yueming Chen, Zhizhang Zhao, Kai College of Physics and Information Engineering Fuzhou University Fujian350108 China The Key Laboratory of Medical Instrumentation Pharmaceutical Technology of Fujian Province Fuzhou350116 China Research Institute of Ruijie Ruijie Networks Co. Ltd Fujian350002 China School of Public Health Xiamen University Xiamen361102 China College of Information and Intelligent Transportation Fujian Chuanzheng Communications College Fuzhou350007 China Fujian Key Laboratory of Network Computing and Intelligent Information Processing College of Mathematics and Computer Science Fuzhou University The Key Laboratory of Spatial Data Mining and Information Sharing Ministry of Education Fujian350108 China College of Physics and information Engineering Fuzhou University the Key Laboratory of Medical Instrumentation Pharmaceutical Technology of Fujian Province Fujian350108 China College of Physics and Information Engineering Fuzhou University 350108 China Faculty of Science and Technology University of Macau 999078 China

We propose two simple and effective spiking neuron models to improve the response time of the conventional spiking neural network. The proposed neuron models adaptively tune the presynaptic input current depending on the input received from its presynapses and subsequent neuron firing events. We analyze and derive the firing activity homeostatic convergence of the proposed models. We experimentally verify and compare the models on MNIST handwritten digits and FashionMNIST classification tasks. We show that the proposed neuron models significantly increase the response speed to the input signal. Experiment codes are available at https://***/anvien/Evol-SNN. © 2019, CC0.

关键词： Neural networks

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Research on Loophole with Second Distribution of Real Value Detectors

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Chinese Journal of Electronics 2016年第6期25卷 1141-1150页

作者： WANG Tianbo ZHANG Fengbin XIA Chunhe Beijing Key Laboratory of Network Technology Beihang University Network and Information Security Laboratory Harbin University of Science and Technology

Traditional anomaly detection algorithm has improved to some degree the mechanism of negative selection. There still remain many problems such as the randomness of detector generation, incompleteness of selfset and the generalization ability of detectors, which would cause a lot of loopholes in non-self space. A heuristic algorithm based on the second distribution of real value detectors for the remains of loopholes of the non-self space in the first distribution and the mutation regions of self space is proposed. The algorithm can distribute real value detectors through omission data based on the methods of partition and movement. A method is proposed to solve the problem on how to get the optimal solutions to the parameters related in the algorithm. Theoretical analysis and experimental results prove the universality and effectiveness of the method. It is found that our algorithm can effectively avoid the generation of loopholes and thus reduce the omission rate of detector sets.

关键词： Artificial immune Anomaly detection Loophole Parameter estimation Detector

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