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International Conference on Magnetics (INTERMAG)

作者： Wenxia Sima Yonglai Liu Potao Sun Yuan Zhou Daixiao Peng Ming Yang State Key Laboratory of Power Transmission Equipment System Security and New Technology Chongqing University Chongqing China Electric Power Research Institute of Guangdong Power Grid Co.Ltd. Guangzhou Guang Dong China Department of Electrical and Computer Engineering New York University Brooklyn NY USA

The inrush current is one of the most common low-frequency transients, and is crucial for transformer studies and design. Core materials have an impact on the inrush current of transformers due to their different magnetizing characteristics. However, how their differences affect inrush currents and the influence level need to be further studied. In this paper, the effect of core materials, namely, the grain-oriented silicon steel, grain non-oriented silicon steel, amorphous alloy and nanocrystalline alloy, on inrush currents of transformers is investigated. Experiments are carried out to compare the inrush current peak values of these four transformers. An improved π model considering the detailed saturation process of the core is proposed for inrush current simulations on the ATP-EMTP platform. The simulated and experimental waveforms show good agreement from the peak value and wave-shape point of view. Results show that the amorphous alloy and nanocrystalline alloy transformers generate much higher inrush currents than those of the non-oriented silicon steel and oriented silicon steel transformers, and the reason is discussed in detail.

关键词： Circuit faults Surges Transformer cores Current transformers Saturation magnetization Surge protection

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Video deblurring via semantic segmentation and pixel-wise non-linear kernel

arXiv

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arXiv 2017年

作者： Ren, Wenqi Pan, Jinshan Cao, Xiaochun Yang, Ming-Hsuan IIE CAS Tencent AI Lab School of Computer Science and Engineering Nanjing University of Science and Technology School of Cyber Security University of Chinese Academy of Sciences Electrical Engineering and Computer Science University of California Merced United States

Video deblurring is a challenging problem as the blur is complex and usually caused by the combination of camera shakes, object motions, and depth variations. Optical flow can be used for kernel estimation since it predicts motion trajectories. However, the estimates are often inaccurate in complex scenes at object boundaries, which are crucial in kernel estimation. In this paper, we exploit semantic segmentation in each blurry frame to understand the scene contents and use different motion models for image regions to guide optical flow estimation. While existing pixel-wise blur models assume that the blur kernel is the same as optical flow during the exposure time, this assumption does not hold when the motion blur trajectory at a pixel is different from the estimated linear optical flow. We analyze the relationship between motion blur trajectory and optical flow, and present a novel pixel-wise non-linear kernel model to account for motion blur. The proposed blur model is based on the non-linear optical flow, which describes complex motion blur more effectively. Extensive experiments on challenging blurry videos demonstrate the proposed algorithm performs favorably against the state-of-the-art methods. Copyright © 2017, The Authors. All rights reserved.

关键词： Optical flows

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Three Layer Game Theoretic Decision Framework for cyber-Investment and cyber-Insurance 8th

Three Layer Game Theoretic Decision Framework for Cyber-Inve...

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8th International Conference on Decision and Game Theory for security, GameSec 2017

作者： Tosh, Deepak K. Vakilinia, Iman Shetty, Sachin Sengupta, Shamik Kamhoua, Charles A. Njilla, Laurent Kwiat, Kevin Department of Computer Science Norfolk State University NorfolkVA United States Department of Computer Science and Engineering University of Nevada RenoNV United States Virginia Modeling Analysis and Simulation Center Old Dominion University NorfolkVA United States Network Security Branch Army Research Laboratory AdelphiMD United States Cyber Assurance Branch Air Force Research Laboratory RomeNY United States

ISBN: (纸本)9783319687100

cyber-threat landscape has become highly complex, due to which isolated attempts to understand, detect, and resolve cybersecurity issues are not feasible in making a time constrained decisions. Introduction of cyber-threat information (CTI) sharing has potential to handle this issue to some extent, where knowledge about security incidents is gathered, exchanged across organizations for deriving useful information regarding the threat actors and vulnerabilities. Although, sharing security information could allow organizations to make informed decision, it may not completely eliminate the risks. Therefore, organizations are also inclined toward considering cyber-insurance for transferring risks to the insurers. Also, in networked environment, adversaries may exploit the information sharing to successfully breach the participating organizations. In this paper, we consider these players, i.e. organizations, adversary, and insure, to model a three layer game, where players play sequentially to find out their optimal strategies. Organizations determine their optimal self-defense investment to make while participating in CTI sharing and cyber-insurance. The adversary looks for an optimal attack rate while the insurer targets to maximize its profit by offering suitable coverage level to the organizations. Using backward induction approach, we conduct subgame perfect equilibrium analysis to find optimal strategies for the involved players. We observe that when cyber-insurance is not considered, attacker prefers to increase its rate of attack. This motivates the organizations to consider cyber-insurance option for transferring the risks on their critical assets. © 2017, Springer International Publishing AG.

关键词： Game theory

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Network reconstruction and controlling based on structural regularity analysis

arXiv

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arXiv 2018年

作者： Wu, Tao Qiao, Shaojie Xian, Xingping Wang, Xi-Zhao Wang, Wei Liu, Yanbing School of Cybersecurity and Information Law Chongqing University of Posts and Telecommunications Chongqing400065 China School of Cybersecurity Chengdu University of Information Technology Chengdu610225 China Department of Computer Science and Technology Chongqing University of Posts and Telecommunications Chongqing400065 China College of Computer Science and Software Engineering Shenzhen University Shenzhen518060 China Institution of Cybersecurity Sichuan University Chengdu610065 China Chongqing Engineering Laboratory of Internet and Information Security Chongqing University of Posts and Telecommunications Chongqing400065 China

From the perspective of network analysis, the ubiquitous networks are comprised of regular and irregular components, which makes uncovering the complexity of network structures to be a fundamental challenge. Exploring the regular information and identifying the roles of microscopic elements in network data can help us recognize the principle of network organization and contribute to network data utilization. However, the intrinsic structural properties of networks remain so far inadequately explored and theorised. With the realistic assumption that there are consistent features across the local structures of networks, we propose a low-rank pursuit based self-representation network model, in which the principle of network organization can be uncovered by a representation matrix. According to this model, original "true" networks can be reconstructed based on the observed "unreliable" network topology. In particular, the proposed model enables us to estimate the extent to which the networks are regulable, i.e., measuring the reconstructability of networks. In addition, the model is capable of measuring the importance of microscopic network elements, i.e., nodes and links, in terms of network regularity thereby allowing us to regulate the reconstructability of networks based on them. Extensive experiments on disparate real-world networks demonstrate the effectiveness of the proposed network reconstruction and regulation algorithm. Specifically, the network regularity metric can reflect the reconstructability of networks, and the reconstruction accuracy can be improved by removing irregular network links. Lastly, our approach provides an unique and novel insight into the organization exploring of complex networks. Copyright © 2018, The Authors. All rights reserved.

关键词： Complex networks

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Blockchain AI Framework for Healthcare Records Management: Constrained Goal Model 26

Blockchain AI Framework for Healthcare Records Management: C...

引用

26th Telecommunications Forum, TELFOR 2018

作者： Wehbe, Youssef Zaabi, Mohamed Al Svetinovic, Davor Department of Civil Infrastructure and Environmental Engineering Khalifa University of Science and Technology Masdar Institute P.O. Box 54224 Masdar City Abu Dhabi United Arab Emirates Department of Chemical and Environmental Engineering Khalifa University of Science and Technology Masdar Institute P.O. Box 54224 Masdar City Abu Dhabi United Arab Emirates Department of Computer Science Khalifa University of Science and Technology Masdar Institute Center on Cyber-Physical Systems P.O. Box 54224 Masdar City Abu Dhabi United Arab Emirates

ISBN: (纸本)9781538671702

Healthcare-related technology has been growing exponentially, from electronic healthcare records (EHRs) and personal health trackers to population health management tools. Currently, data from these sources is largely archived, analyzed separately or using only cursory integration with other data sources. In this study, we propose a coupled AI-Blockchain EHR management system. The goal is to provide a platform that leverages blockchain and artificial intelligence (AI) for (i) secure EHR management, (ii) efficient data integration, and (iii) reliable computer-aided diagnoses. A goal-oriented modeling approach with the Constrained Goal Model (CGM) is used to elicit the system requirements. Questionnaire results for a case study in Abu Dhabi, UAE served for model validation and refinement for maximizing the number of system users. © 2018 IEEE.

关键词： Records management

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A User-Centric Data Secure Creation Scheme in Cloud Computing

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Chinese Journal of Electronics 2016年第4期25卷 753-760页

作者： SU Mang LI Fenghua SHI Guozhen GENG Kui XIONG Jinbo School of Computer Science and Engineering Nanjing University of Science and Technology State Key Laboratory of Information Security Institute of Information EngineeringChinese Academy of Sciences Department of Information Security Beijing Electronic Science and Technology Institute State Key Laboratory of Integrated Services Network Xidian University

Due to the use of the cloud computing technology,the ownership is separated from the administration of the data in cloud and the shared data might be migrated between different clouds,which would bring new challenges to data secure creation,especially for the data privacy *** propose a User-centric data secure creation scheme(UCDSC) for the security requirements of resource owners in *** this scheme,a data owner first divides the users into different *** data owner encrypts data and defines different secure managing policies for the data according to *** encrypt the data in UCDSC,we present an algorithm based on Access control conditions proxy re-encryption(ACC-PRE),which is proved to be master secret secure and Chosen-ciphertext attack(CCA) secure in random oracle *** give the application protocols and make the comparisons between some existing approaches and UCDSC.

关键词： User-centric ACC-PRE Data creation Master secret secure CCA

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cybercafés in Nigeria: Curse to the internet?

Cybercafés in Nigeria: Curse to the internet?

引用

2016 International Conference on Information and Communication technology and its Applications, ICTA 2016

作者： Osho, Oluwafemi Adepoju, Solomon A. Department of Cyber Security Science Federal University of Technology Minna Nigeria Department of Computer Science Federal University of Technology Minna Nigeria

cybercafés have grown in popularity since their emergence. This popularity is predicated on their capacity to offer relatively cheap, immediate and convenient access to the internet. Regrettably, cybercriminals, and even terrorists, have been exploiting them to perpetrate their unwholesome activities. This study evaluates the security posture of cybercafés in Nigeria. Using a combination of survey and observation, a total of ninety nine cybercafés, covering nine states, in five of the six geopolitical zones of the country, were covered. The findings suggest that most of the cybercafés have adequate capacity to prevent unauthorized access to their network, and the exploitation of the network to remotely perpetrate cybercrimes. However, within the physical confines of most of the internet cafes, cybercrimes are and could easily be carried out, and their networks exploited for other unethical uses of the internet. security needs to be given more attention than it currently enjoys in the management of cybercafés by managers. On the other hand, government must ensure the regulation of the activities of the sector.

关键词： computer crime

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Large Scale Rollout of Smart Grid Services

Large Scale Rollout of Smart Grid Services

引用

Global Internet of Things Summit (GIoTS)

作者： Florian Kintzler Tobias Gawron-Deutsch Stephan Cejka Judith Schulte Mathias Uslar Eric MSP Veith Ewa Piatkowska Paul Smith Friederich Kupzog Henrik Sandberg Michelle S. Chong David Umsonst Marco Mittelsdorf Corporate Technology Siemens AG Austria Vienna Austria R&D Division Energy OFFIS e.V. - Institut fur Informatik Oldenburg Germany Center for Digital Safety Security AIT Austrian Institute of Technology Vienna Austria School of Electrical Engineering and Computer Science Department of Automatic Control KTH Royal Institute of Technology Stockholm Sweden Fraunhofer Institute for Solar Energy Systems Freiburg Germany

In the domain of energy automation, where a massive number of software-based IoT services interact with a complex dynamic system, processes for software installation and software update become more important and more complex. These processes have to ensure that the dependencies on all layers are fulfilled, including dependencies arising due to the energy system controlled by IT components being a hidden communication channel between these components. In addition, the processes have to be resilient against faults in and attacks to both the energy grid and the communication network. The ERA-Net funded project LarGo! aims at developing and testing processes for the large scale rollout of software applications in the power grid domain as well as the user domain. This article describes a work in progress and the project's roadmap to solve the technical issues. It investigates the problems that arise from the interlocking of the two networks- the power grid and the communication network. Based on this analysis a first set of requirements for a rollout process in such a Smart Grid is derived and the chosen approach to verify the resilience of the developed processes under research is described.

关键词： Smart grids Substations Software Resilience Maintenance engineering Internet of Things

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Survey of on-line risks faced by internet users in the Nigerian telecommunication space

Survey of on-line risks faced by internet users in the Niger...

引用

2016 International Conference on Information and Communication technology and its Applications, ICTA 2016

作者： Onwuka, Elizabeth N. Afolayan, David O. Abubakar, Wasiu Ibrahim, Joshua I. Department of Telecommunications Engineering Federal University of Technology Minna Nigeria Department of Cyber Security Science Federal University of Technology Minna Nigeria Department of Computer Science Federal University of Technology Minna Nigeria

In the past ten years, mobile broadband has made an inroad into the country and just in the last six years a twenty-two percent leap has been gained with respect to Internet use penetration. To this end the use of Information and Communication technology by Nigerians for their various daily activities has gradually but steadily grown. This has remarkably created new jobs, raised the national GDP, and has generally improved ways people live and do business. This advancement however has proven to be a double edged sword as a good number of Nigerians have reportedly fallen victim to different forms of threats online or might have heard about victims of such crimes, which has led to gross distrust in new and existing innovations in the world of ICT. The negative consequence of this on the potential economic alongside technological development that the country could enjoy from the ICT sector is quite obvious. This paper investigates the nature of threats posed at Nigerians as they go online via an online survey. The survey shows 95.2% of respondents are regular internet users with 14.4% as victims of online fraud.

关键词： Surveys

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InPrivate Digging: Enabling Tree-based Distributed Data Mining with Differential Privacy

InPrivate Digging: Enabling Tree-based Distributed Data Mini...

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IEEE Annual Joint Conference: INFOCOM, IEEE computer and Communications Societies

作者： Lingchen Zhao Lihao Ni Shengshan Hu Yaniiao Chen Pan Zhou Fu Xiao Libing Wu Collaborative Innovation Center of Geospatial Technology P. R. China School of Cyber Science and Engineering Wuhan University P. R. China Department of Computer Science City University of Hong Kong P. R. China Huazhong University of Science and Technology P. R. China Nanjing University of Posts and Telecommunications P.R. China

ISBN: (纸本)9781538641293

Data mining has heralded the major breakthrough in data analysis, serving as a “super cruncher” to discover hidden information and valuable knowledge in big data systems. For many applications, the collection of big data usually involves various parties who are interested in pooling their private data sets together to jointly train machine-learning models that yield more accurate prediction results. However, data owners may not be willing to disclose their own data due to privacy concerns, making it imperative to provide privacy guarantee in collaborative data mining over distributed data sets. In this paper, we focus on tree-based data mining. To begin with, we design novel privacy-preserving schemes for two most common tasks: regression and binary classification, where individual data owners can perform training locally in a differentially private manner. Then, for the first time, we design and implement a privacy-preserving system for gradient boosting decision tree (GBDT), where different regression trees trained by multiple data owners can be securely aggregated into an ensemble. We conduct extensive experiments to evaluate the performance of our system on multiple real-world data sets. The results demonstrate that our system can provide a strong privacy protection for individual data owners while maintaining the prediction accuracy of the original trained model.

关键词： Decision trees Boosting Privacy Data models

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