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作者： Yang, Bin Mao, Guoqiang Ding, Ming Ge, Xiaohu Tao, Xiaofeng School of Electronic Information and Communications Huazhong University of Science and Technology Wuhan430074 China School of Computing and Communication University of Technology Sydney UltimoNSW2007 Australia Data61 CSIRO CanberraACT2601 Australia National Engineering Laboratory for Mobile Network Security Beijing University of Posts and Telecommunications Beijing100876 China

Considering both non-line-of-sight (NLoS) and line-of-sight (LoS) transmissions, the transitional behaviors from noise-limited regime to dense interference-limited regime have been investigated for the fifth generation (5G) small cell networks (SCNs). Besides, we identify four performance regimes based on base station (BS) density, i.e., 1) the noise-limited regime, 2) the signal-dominated regime, 3) the interference-dominated regime, and 4) the interference-limited regime. To characterize the performance regime, we propose a unified framework analyzing the future 5G wireless networks over generalized shadowing/fading channels, in which the user association schemes based on the strongest instantaneous received power and the strongest average received power can be studied, while NLoS/LoS transmissions and multislop path loss model are considered. Simulation results indicate that different factors, i.e., noise, desired signal, and interference, successively and separately dominate the network performance with the increase of BS density. Hence, our results shed new light on the design and management of SCNs in urban and rural areas with different BS deployment densities. © 1967-2012 IEEE.

关键词： Wireless networks

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Private keyword-Search for Database Systems Against Insider Attacks

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Journal of Computer Science & technology 2017年第3期32卷 599-617页

作者： Peng Jiang Yi Mu Fuchun Guo Qiao-Yan Wen State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing 100876 China Centre for Computer and Information Security Research School of Computing and Information Technology University of Wollongong Wollongong NSW 2522 Australia

The notion of searchable encrypted keywords introduced an elegant approach to retrieve encrypted data without the need of decryption. Since the introduction of this notion, there are two main searchable encrypted keywords techniques, symmetric searchable encryption （SSE） and public key encryption with keyword search （PEKS）. Due to the complicated key management problem in SSE, a number of concrete PEKS constructions have been proposed to overcome it. However, the security of these PEKS schemes was only weakly defined in presence of outsider attacks;therefore they suffer from keyword guessing attacks from the database server as an insider. How to resist insider attacks remains a challenging problem. We propose the first searchable encrypted keywords against insider attacks （SEK-IA） framework to address this problem. The security model of SEK-IA under public key environment is rebuilt. We give a concrete SEK-IA construction featured with a constant-size trapdoor and the proposed scheme is formally proved to be secure against insider attacks. The performance evaluations show that the communication cost between the receiver and the server in our SEK-IA scheme remains constant, independent of the sender identity set size, and the receiver needs the minimized computational cost to generate a trapdoor to search the data from multiple senders.

关键词： public key encryption with keyword search keyword privacy insider attack searchable encrypted keyword

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Quantifying the impact of scholarly papers based on higher-order weighted citations

arXiv

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arXiv 2020年

作者： Bai, Xiaomei Zhang, Fuli Hou, Jie Lee, Ivan Kong, Xiangjie Tolba, Amr Xia, Feng Computing Center Anshan Normal University Anshan114007 China Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province School of Software Dalian University of Technology Dalian116620 China Library Anshan Normal University Anshan114007 China School of ITMS University of South Australia Mawson LakesSA5095 Australia Computer Science Department Community College King Saud University Riyadh11437 Saudi Arabia Mathematics Department Faculty of Science Menoufia University Shebin-El-Kom32511 Egypt

Quantifying the impact of a scholarly paper is of great significance, yet the effect of geographical distance of cited papers has not been explored. In this paper, we examine 30,596 papers published in Physical Review C, and identify the relationship between citations and geographical distances between author affiliations. Subsequently, a relative citation weight is applied to assess the impact of a scholarly paper. A higher-order weighted quantum PageRank algorithm is also developed to address the behavior of multiple step citation flow. Capturing the citation dynamics with higher-order dependencies reveals the actual impact of papers, including necessary self-citations that are sometimes excluded in prior studies. Quantum PageRank is utilized in this paper to help differentiating nodes whose PageRank values are identical. Copyright © 2020, The Authors. All rights reserved.

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Application of BIM coding and example modelling for typical asphalt pavement diseases based on Omni Class

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Journal of Physics: Conference Series 2021年第1期2044卷

作者： Xian Tong Li Hong Wei Zhang Zhen Zheng Liu Wan Ying Qu Zhao Hui Wu Liang Wang China Academy of Transportation Sciences Beijing 100029 China Inner Mongolia Autonomous Region Traffic Construction Engineering Quality Supervision Bureau Hohhot 0110051 China Key laboratory of Transport Industry of Management Control and Cycle Repair Technology for Traffic Network Facilitates in Ecological Security Barrier Area Hohhot 0110051 China Changchun Municipal Engineering Design & Research Institute Changchun 130000 China

With the widespread application of BIM technology in highway engineering, the practice of coding asphalt pavement diseases and integrating it with BIM models in the highway management and maintenance stage can contribute to the clarity of data collection and source-tracing of the disease and strengthening the circulation of disease data in the whole life cycle of highway engineering. This paper compares the coding methods of construction and infrastructure coding at home and abroad, and identifies the disease of asphalt pavement according to existing norms and clarifies the rules for formulating disease coding in the aim of producing a unified coding method of asphalt pavement disease. At the same time, based on the establishment of the disease model, the coding information is integrated with the BIM model to fill in the gaps in the coding work in the management and maintenance of highway engineering to improve the circulation of code-integrated BIM disease model in the maintenance phase.

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The theoretical study of Cs/O absorption on Ga0.9375Mg0.0625N (0001) surface: A first principle calculation

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Journal of Physics: Conference Series 2020年第1期1593卷

作者： S S Ren J Ma X Q Fu M Z Yang H Zhao School of Information Science and Engineering University of Jinan China Shandong Provincial Key Laboratory of Network based Intelligent Computing University of Jinan China School of Physics and Optoelectronic Engineering Nanjing University of Information Science and Technology China

In order to theoretically study the adsorption process of GaN photocathode, the adsorption model on Ga0.9375Mg0.0625N is established. Then, the adsorption energy, work function, mullikeen charge distribution and density of states on the surface of (2×2) Ga0.9375Mg0.0625N(0001)calculate are calculated by first principle on CASTEP. By comparing the adsorption energy of Cs on N atom, surface centrality and Mg atom, the result shows that adsorption is the most stable on Mg atom. The Cs/O absorption model on Mg atom is mainly researched, according to analysis the properties of different computing results for different adsorption models, it is found that they are in accordance with the changing trend of the experiment. This provides a theoretical basis for the study of the experiment.

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SMOOTHING NEWTON ALGORITHM FOR THE CIRCULAR CONE PROGRAMMING WITH A NONMONOTONE LINE SEARCH

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Acta Mathematica Scientia 2017年第5期37卷 1262-1280页

作者：迟晓妮韦洪锦万仲平朱志斌 School of Mathematics and Computing Science Guangxi Key Laboratory of Cryptography and Information SecurityGuilin University of Electronic TechnologyGuilin 541004China School of Mathematics and Computing Science Guangxi Key Laboratory of Automatic Detecting Technology and InstrumentsGuilin University of Electronic TechnologyGuilin 541004China School of Mathematics and Statistics Wuhan UniversityWuhan 430072China School of Mathematics and Computing Science Guangxi Colleges and Universities Key Laboratory of Data Analysis and ComputationGuilin University of Electronic TechnologyGuilin 541004China

In this paper, we present a nonmonotone smoothing Newton algorithm for solving the circular cone programming(CCP) problem in which a linear function is minimized or maximized over the intersection of an affine space with the circular cone. Based on the relationship between the circular cone and the second-order cone(SOC), we reformulate the CCP problem as the second-order cone problem(SOCP). By extending the nonmonotone line search for unconstrained optimization to the CCP, a nonmonotone smoothing Newton method is proposed for solving the CCP. Under suitable assumptions, the proposed algorithm is shown to be globally and locally quadratically convergent. Some preliminary numerical results indicate the effectiveness of the proposed algorithm for solving the CCP.

关键词： circular cone programming second-order cone programming nonmonotone line search smoothing Newton method local quadratic convergence

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Video steganographic algorithm based on intra prediction modification for H.264/AVC

Advances in Intelligent Systems and Computing

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Advances in Intelligent Systems and computing 2018年 613卷 145-155页

作者： Zhang, Yingnan Zhang, Minqing Zhang, Zhen Yang, Haibin Niu, Ke Key Laboratory of Network and Information Security of CAPF Xi’anShaanxi710086 China Electronic Technology Department Engineering University of CAPF Xi’anShaanxi710086 China

ISBN: (纸本)9783319607436

To analyze the technique of video steganography, which provides security guarantees for national security and confidential information of government agencies and enterprises, videos may be used to transform secret information and then achieve the goal of covert communication. Aim to use the specific features of the H.264–intra prediction mode, and decrease the modification rate, we present a video steganography method based on logistic mapping and the intra prediction mode in H.264/AVC. First of all, we process, the secret information from logistic sequence. Then we use the parity of intra prediction mode of 4, ×, 4 blocks group. Further, embed secret information by modifying the parity. Experimental results indicate that our algorithm has good invisibility, little influence on the bit rate of the video carrier, and the modification rate is low. © 2018, Springer International Publishing AG.

关键词： Steganography

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A Universal Designated Multi-Verifier Transitive Signature Scheme 13th

A Universal Designated Multi-Verifier Transitive Signature S...

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13th International Conference on Information securityand Cryptology, Inscrypt 2017

作者： Zhu, Fei Zhang, Yuexin Lin, Chao Wu, Wei Meng, Ru Fujian Provincial Key Laboratory of Network Security and Cryptology School of Mathematics and Informatics Fujian Normal University Fuzhou China School of Software and Electrical Engineering Swinburne University of Technology HawthornVIC3122 Australia School of Computer Science Shaanxi Normal University Xi’an China

ISBN: (纸本)9783319751597

A Universal Designated Verifier Transitive Signature (UDVTS) scheme is designed for the graph-based big data system. Specifically, it allows a transitive signature holder to convince the designated verifier with a transitive signature. Nevertheless, existing UDVTS schemes cannot be directly employed in the scenarios when multi-verifier are involved. Thus, in this paper, we extend the notion to the Universal Designated Multi-Verifier Transitive Signature (UDMVTS) scheme. Namely, our new scheme allows a transitive signature holder to designate the signature to multi-verifier. Furthermore, for the proposed scheme, we formalize its security notions and prove its security in the random oracle model. We also analyse the performance of our scheme to demonstrate its efficiency. © Springer International Publishing AG, part of Springer Nature 2018.

关键词： Graphic methods

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An End-to-End Detection Method for WebShell with Deep Learning

An End-to-End Detection Method for WebShell with Deep Learni...

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International Conference on Instrumentation, Measurement, Computer, Communication and Control (IMCCC)

作者： Longchen Qi Rui Kong Yang Lu Honglin Zhuang MOE Key Laboratory of Network and Software Security on Peking University Beijing China National Key Laboratory of Science and Technology on Information System Security Beijing China Office 497 of Military Representative Bureau of Chongqing Chongqing China

ISBN: (数字)9781538682463

ISBN: (纸本)9781538682470

In this paper, a generic static end-to-end detection framework with deep neural network for WebShell is designed, which is free from human labor and domain knowledge. In this paper, we simultaneously introduce word embedding in Natural Language Processing(NLP) and lexical analysis in Programming Language Processing(PLP) to obtain an accurate, structured, semantic-rich vector representation of the script code. For the obtaining's sake, a series of effective tricks are designed to further dig out the high-value information in the script while filtering noise. Then, we provide a desirable algorithm to down-sampling, which drastically reduces the computational costs at a relatively small information loss. Finally, we achieve high detection accuracy by employing the Deep Neural network (DNN) composed of LSTM and pooling layers. The framework has a significant advantage at least on data set of the experiment.

关键词： Neural networks Encoding security Dictionaries Computer languages Deep learning Filtering

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A review of deep reinforcement learning for smart building energy management

arXiv

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arXiv 2020年

作者： Yu, Liang Qin, Shuqi Zhang, Meng Shen, Chao Jiang, Tao Guan, Xiaohong College of Automation College of Artificial Intelligence Nanjing University of Posts and Telecommunications Nanjing210003 China Xi'an Jiaotong University Xi'an710049 China College of Internet of Things Nanjing University of Posts and Telecommunications Nanjing210003 China Systems Engineering Institute Ministry of Education Key Lab for Intelligent Networks and Network Security Xi'an Jiaotong University Xi'an710049 China School of Cyber Science and Engineering Xi'an Jiaotong University Xi'an710049 China Wuhan National Laboratory for Optoelectronics School of Electronic Information and Communications Huazhong University of Science and Technology Wuhan430074 China

Global buildings account for about 30% of the total energy consumption and carbon emission, raising severe energy and environmental concerns. Therefore, it is significant and urgent to develop novel smart building energy management (SBEM) technologies for the advance of energy-efficient and green buildings. However, it is a nontrivial task due to the following challenges. Firstly, it is generally difficult to develop an explicit building thermal dynamics model that is both accurate and efficient enough for building control. Secondly, there are many uncertain system parameters (e.g., renewable generation output, outdoor temperature, and the number of occupants). Thirdly, there are many spatially and temporally coupled operational constraints. Fourthly, building energy optimization problems can not be solved in real-time by traditional methods when they have extremely large solution spaces. Fifthly, traditional building energy management methods have respective applicable premises, which means that they have low versatility when confronted with varying building environments. With the rapid development of Internet of Things technology and computation capability, artificial intelligence technology find its significant competence in control and optimization. As a general artificial intelligence technology, deep reinforcement learning (DRL) is promising to address the above challenges. Notably, the recent years have seen the surge of DRL for SBEM. However, there lacks a systematic overview of different DRL methods for SBEM. To fill the gap, this paper provides a comprehensive review of DRL for SBEM from the perspective of system scale. In particular, we identify the existing unresolved issues and point out possible future research directions. Copyright © 2020, The Authors. All rights reserved.

关键词： Deep learning

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