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Preservation Mechanism of Network Electronic Records Based on Broadcast-Storage Network in Urban Construction

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Journal of New Media 2019年第1期1卷 27-34页

作者： Fujian Zhu Yongjun Ren Qirun Wang Jinyue Xia School of Computer and Software Nanjing University of Information Science&TechnologyNanjingChina Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology(CICAEET) Nanjing University of Information Science&TechnologyNanjingChina School of engineering and technology University of HertfordshireHertfordUK School of Computer Information and Engineering Changzhou Institute of TechnologyChangzhouChina International Business Machines Corporation(IBM) New YorkUSA

With the wide application of information technology in urban infrastructure,urban construction has entered the stage of smart city,forming a large number of network electronic *** electronic records play a vital role in the maintenance of urban ***,how to preserve the network electronic records in the field of urban construction is still lack of a comprehensive and serious *** at this problem,the paper proposes to use the technology of broadcast-storage network to preserve the network electronic records for a long time and gives the concrete preservation process.

关键词： Electronic record urban construction broadcast-storage network

Ensuring Readability of Electronic Records Based on Virtualization technology in Cloud Storage

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Journal on Internet of Things 2019年第1期1卷 33-39页

作者： Qirun Wang Fujian Zhu Yan Leng Yongjun Ren Jinyue Xia School of engineering and technology University of HertfordshireHertfordUK School of Computer Information and Engineering Changzhou Institute of TechnologyChangzhouChina Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology(CICAEET) Nanjing University of Information Science&TechnologyNanjingChina School of Computer and Software Nanjing University of Information Science&TechnologyNanjingChina International Business Machines Corporation(IBM) New YorkUSA

With the rapid development of E-commerce and E-government, there are somany electronic records have been produced. The increasing number of electronicrecords brings about storage difficulties, the traditional electronic records center isdifficult to cope with the current fast growth requirements of electronic records storageand management. Therefore, it is imperative to use cloud storage technology to buildelectronic record centers. However, electronic records also have weaknesses in the cloudstorage environment, and one of them is that once electronic record owners or managerslose physical control of them, the electronic records are more likely to be tampered withand destroyed. So, the paper builds a reliable electronic records preservation systembased on coding theory. It can effectively guarantee the reliability of record storage whenthe electronic record is damaged, and the original electronic record can be restored byredundant coding, thus ensuring the reliable storage of electronic records.

关键词： Electronic record cloud storage preservation mechanism coding theory

Corrigendum to “DeepQSP: Identification of Quorum Sensing Peptides Through Neural Network Model” [Results in engineering 24 (2024) 102878]

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Results in engineering 2024年 24卷

作者： Md. Ashikur Rahman Md. Mamun Ali Kawsar Ahmed Imran Mahmud Francis M. Bui Li Chen Santosh Kumar Mohammad Ali Moni Department of Software Engineering Daffodil International University Daffodil Smart City Birulia Dhaka 1216 Bangladesh Division of Biomedical Engineering University of Saskatchewan 57 Campus Drive Saskatoon SK S7N 5A9 Canada Department of Electrical and Computer Engineering University of Saskatchewan 57 Campus Drive Saskatoon SK S7N 5A9 Canada Bio-photomatiχ Information and Communication Technology Mawlana Bhashani Science and Technology University Santosh Tangail 1902 Bangladesh Health Informatics Research Lab Department of Computer Science and Engineering Daffodil International University Daffodil Smart City Birulia Dhaka 1216 Bangladesh Department of Electronics and Communication Engineering Koneru Lakshmaiah Education Foundation Vaddeswaram Andhra Pradesh 522302 India AI & Digital Health Technology Artificial Intelligence & Cyber Future Institute Charles Sturt University Bathurst NSW 2795 Australia AI & Digital Health Technology Rural Health Research Institute Charles Sturt University Orange NSW 2800 Australia

Generating reliable friends via adversarial training to improve social recommendation

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arXiv 2019年

作者： Yu, Junliang Gao, Min Yin, Hongzhi Li, Jundong Gao, Chongming Wang, Qinyong School of Information Technology and Electrical Engineering University of Queensland Australia School of Big Data and Software Engineering Chongqing University China Department of Electrical and Computer Engineering University of Virginia United States

Most of the recent studies of social recommendation assume that people share similar preferences with their friends and the online social relations are helpful in improving traditional recommender systems. However, this assumption is often untenable as the online social networks are quite sparse and a majority of users only have a small number of friends. Besides, explicit friends may not share similar interests because of the randomness in the process of building social networks. Therefore, discovering a number of reliable friends for each user plays an important role in advancing social recommendation. Unlike other studies which focus on extracting valuable explicit social links, our work pays attention to identifying reliable friends in both the observed and unobserved social networks. Concretely, in this paper, we propose an end-to-end social recommendation framework based on Generative Adversarial Nets (GAN). The framework is composed of two blocks: a generator that is used to produce friends that can possibly enhance the social recommendation model, and a discriminator that is responsible for assessing these generated friends and ranking the items according to both the current user and her friends’ preferences. With the competition between the generator and the discriminator, our framework can dynamically and adaptively generate reliable friends who can perfectly predict the current user’ preference at a specific time. As a result, the sparsity and unreliability problems of explicit social relations can be mitigated and the social recommendation performance is significantly improved. Experimental studies on real-world datasets demonstrate the superiority of our framework and verify the positive effects of the generated reliable friends. Copyright © 2019, The Authors. All rights reserved.

关键词： Generative adversarial networks

An improved simulation model for pedestrian crowd evacuation

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arXiv 2020年

作者： Muhammed, Danial A. Rashid, Tarik A. Alsadoon, Abeer Bacanin, Nebojsa Fattah, Polla Mohammadi, Mokhtar Banerjee, Indradip Computer Department College of Science University of Sulaimani SulaymaniyahKRG46001 Iraq Computer Science and Engineering Department University of Kurdistan Hewler ErbilKRG44001 Iraq Department of Information Technology School of Computing and Mathematics Charles Sturt University Sydney BathurstNSW2795 Australia Faculty of Informatics and Computing Vice-dean Singidunum University Belgrade11000 Serbia Software and Informatics Engineering Dept Engineering College Salahaddin University-Erbil ErbilKRG44001 Iraq Department of Information Technology Lebanese French University ErbilKRG44001 Iraq Department of Computer Science and Engineering University Institute of Technology The University of Burdwan BurdwanWest Bengal713101 India

This paper works on one of the most recent pedestrian crowd evacuation models, i.e., "a simulation model for pedestrian crowd evacuation based on various AI techniques", developed in late 2019. This study adds a new feature to the developed model by proposing a new method and integrating it with the model. This method enables the developed model to find a more appropriate evacuation area design, among others regarding safety due to selecting the best exit door location among many suggested locations. This method is completely dependent on the selected model's output, i.e., the evacuation time for each individual within the evacuation process. The new method finds an average of the evacuees’ evacuation times of each exit door location;then, based on the average evacuation time, it decides which exit door location would be the best exit door to be used for evacuation by the evacuees. To validate the method, various designs for the evacuation area with various written scenarios were used. The results showed that the model with this new method could predict a proper exit door location among many suggested locations. Lastly, from the results of this research using the integration of this newly proposed method, a new capability for the selected model in terms of safety allowed the right decision in selecting the finest design for the evacuation area among other designs. © 2020, CC BY.

关键词： Location

Intelligent reflecting surface aided MISO uplink communication network: Feasibility and power minimization for perfect and imperfect CSI

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arXiv 2020年

作者： Liu, Yang Zhao, Jun Li, Ming Wu, Qingqing School of Information and Communication Engineering Dalian University of Technology Dalian China School of Computer Science and Engineering Nanyang Technological University Singapore National Mobile Communications Research Laboratory Southeast University Nanjing210096 China State Key Lab. of Internet of Things for Smart City University of Macau Macau China

In this paper, we consider the weighted sum-power minimization under quality-of-service (QoS) constraints in the multi-user multi-input-single-output (MISO) uplink wireless network assisted by intelligent reflecting surface (IRS). We perform a comprehensive investigation on various aspects of this problem. First, when users have sufficient transmit powers, we present a new sufficient condition guaranteeing arbitrary information rate constraints. This result strengthens the feasibility condition in existing literature. Then, we design novel penalty dual decomposition (PDD) based and nonlinear equality constrained alternative direction method of multipliers (neADMM) based solutions to tackle the IRS-dependent-QoS-constraints, which effectively solve the feasibility check and power minimization problems. Besides, we further extend our proposals to the cases where channel status information (CSI) is imperfect and develop an online stochastic algorithm that satisfy QoS constraints stochastically without requiring prior knowledge of CSI errors. Extensive numerical results are presented to verify the effectiveness of our proposed algorithms. © 2020, CC BY.

关键词： Quality of service

Feedforward neural network based on ensemble evolutionary algorithm with self-adaptive strategy and parameter for intrusion detection

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International Journal of Wireless and Mobile Computing 2019年第2期17卷 202-211页

作者： Xue, Yu Tang, Tao Liu, Alex X. School of Computer and Software Nanjing University of Information Science and Technology Pukou Nanjing China Department of Computer Science and Engineering Michigan State University East Lansing United States

The applications of Wireless Sensor Networks (WSNs) have driven the development of many fields, and the information security is an important issue in the WSNs. Intrusion Detection System (IDS) is a kind of effective system for identifying network attacks and protecting data security, which has a great significance for WSNs. In this paper, we transform the intrusion detection problem into a classification problem and introduce the Feedforward Neural Network (FNN) classifier to solve it. At the same time, we propose a novel Self-adaptive Parameter and Strategy Differential Particle Swarm (SPS-DPS) optimisation algorithm to find the optimal weights for the FNN. Experiments are performed on eight data sets which are constructed based on the intrusion detection data set KDDCUP99, and the results are compared with five Evolutionary Computation (EC) methods. The results show that the SPS-DPS based FNN method can solve the intrusion detection problem well compared with the other methods. Copyright © 2019 Inderscience Enterprises Ltd.

关键词： Wireless sensor networks

STR: Secure computation on additive shares using the share-transform-reveal strategy

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arXiv 2020年

作者： Xia, Zhihua Gu, Qi Zhou, Wenhao Xiong, Lizhi Weng, Jian Xiong, Naixue N. College of Cyber Security Jinan University Guangzhou510632 China Engineering Research Center of Digital Forensics Ministry of Education School of Computer and Software Jiangsu Engineering Center of Network Monitoring Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology Nanjing University of Information Science & Technology Nanjing210044 China Guangxi Key Laboratory of Trusted Software Guilin University of Electronic Technology Guilin541004 China The College of Intelligence and Computing Tianjin University Tianjin300350 China

The rapid development of cloud computing probably benefits many of us while the privacy risks brought by semi-honest cloud servers have aroused the attention of more and more people and legislatures. In the last two decades, plenty of works seek to outsource various specific tasks to servers while ensuring the security of private data. The tasks to be outsourced are countless;however, the computations involved are similar. In this paper, we construct a series of novel protocols that support the secure computation of various functions on numbers (e.g., the basic elementary functions) and matrices (e.g., the calculation of eigenvectors and eigenvalues) on arbitrary n ≥ 2 servers. All protocols only require constant rounds of interactions and achieve low computation complexity. Moreover, the proposed n-party protocols ensure the security of private data even though n − 1 servers collude. The convolutional neural network models are utilized as the case studies to verify the protocols. The theoretical analysis and experimental results demonstrate the correctness, efficiency, and security of the proposed protocols. Copyright © 2020, The Authors. All rights reserved.

关键词： Additives

The Evaluation and Comparative Analysis of Role Based Access Control and Attribute Based Access Control Model 15

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The Evaluation and Comparative Analysis of Role Based Access...

15th International computer Conference on Wavelet Active Media technology and information Processing, ICCWAMTIP 2018

作者： Aftab, Muhammad Umar Qin, Zhiguang Zakria Ali, Safeer Pirah, P. Khan, Jalaluddin School of Information and Software Engineering University of Electronic Science and Technology of China China School of Computer Science and Engineering University of Electronic Science and Technology of China China

ISBN: (纸本)9781728115351

Access control is used as a mechanism to secure the organizations from internal and external attacks. The implementation of access control is done with the help of different access control models through which RBAC and ABAC are on the top. This paper contains the evaluation, and comparison of RBAC and ABAC models. Authors explained the working criteria as well as the comparative analysis of these models. The comparison is done on more than ten different parameters. Authors also mentioned their strengths and weaknesses for a good understanding of models. © 2018 IEEE.

关键词： Access control models