检索结果-内蒙古大学图书馆

CollabLoc: Privacy-preserving multi-modal localization via collaborative information fusion

学校读者我要写书评

暂无评论

arXiv 2017年

作者： Sadhu, Vidyasagar Pompili, Dario Zonouz, Saman Sritapan, Vincent Department of Electrical and Computer Engineering Cyber Security Division Rutgers University Department of Homeland Security Science & Technology Directorate

Mobile phones provide an excellent opportunity for building context-aware applications. In particular, location-based services are important context-aware services that are more and more used for enforcing security policies, for supporting indoor room navigation, and for providing personalized assistance. However, a major problem still remains unaddressed-the lack of solutions that work across buildings while not using additional infrastructure and also accounting for privacy and reliability needs. In this paper, a privacy-preserving, multi-modal, cross-building, collaborative localization platform is proposed based on Wi-Fi RSSI (existing infrastructure), Cellular RSSI, sound and light levels, that enables room-level localization as main application (though sub room level granularity is possible). The privacy is inherently built into the solution based on onion routing, and perturbation/randomization techniques, and exploits the idea of weighted collaboration to increase the reliability as well as to limit the effect of noisy devices (due to sensor noise/privacy). The proposed solution has been analyzed in terms of privacy, accuracy, optimum parameters, and other overheads on location data collected at multiple indoor and outdoor locations. Copyright © 2017, The Authors. All rights reserved.

关键词： Location based services

A New Information Diffusion Model in Weibo: UA-SCIR

学校读者我要写书评

暂无评论

A New Information Diffusion Model in Weibo: UA-SCIR

2018 International Conference on computer,Communication and Network technology(CCNT 2018)

作者： Hai-long ZHU Jun YANG Institute of Information Engineering Chinese Academy of Sciences School of Cyber Security University of Chinese Academy of Sciences National Computer Network Emergency Response Technical Team/Coordination Center of China Department of Automation Tsinghua University

To illustrate how information spreads in Weibo, this paper proposed a user attributes based diffusion model(UA-SCIR) which defined four node states: susceptible, contacted, infected and refractory. The contacted state was first introduced to describe the nodes who had read the message but had not decided whether reposting or ignoring. Moreover, we recalculated the transfer probability between various states based on user attributes. Experiments on real-world dataset show that our UA-SCIR model can demonstrate the information diffusion progress more accurately than the existing models.

关键词： Information diffusion model User attribute Weibo

CollabLoc: Privacy-Preserving Multi-Modal Localization via Collaborative Information Fusion

学校读者我要写书评

暂无评论

CollabLoc: Privacy-Preserving Multi-Modal Localization via C...

International Conference on computer Communication and Networks

作者： Vidyasagar Sadhu Dario Pompili Saman Zonouz Vincent Sritapan Department of Electrical and Computer Engineering Rutgers University Cyber Security Division Department of Homeland Security Science & Technology Directorate

Mobile phones provide an excellent opportunity for building context-aware applications. In particular, location-based services are important context-aware services that are more and more used for enforcing security policies, for supporting indoor room navigation, and for providing personalized assistance. However, a major problem still remains unaddressed--the lack of solutions that work across buildings while not using additional infrastructure and also accounting for privacy and reliability needs. In this paper, a privacy-preserving, multi-modal, cross-building, collaborative localization platform is proposed based on Wi-Fi RSSI (existing infrastructure), Cellular RSSI, sound and light levels, that enables room-level localization as main application (though sub room level granularity is possible). The privacy is inherently built into the solution based on onion routing, and perturbation/randomization techniques, and exploits the idea of weighted collaboration to increase the reliability as well as to limit the effect of noisy devices (due to sensor noise/privacy). The proposed solution has been analyzed in terms of privacy, accuracy, optimum parameters, and other overheads on location data collected at multiple indoor and outdoor locations.

关键词： Room-level Localization Cross-Building Multi-Modal Privacy Collaboration Mobile Systems Experiments

An enhanced blacklist method to detect phishing websites 13th

学校读者我要写书评

暂无评论

An enhanced blacklist method to detect phishing websites

13th International Conference on Information Systems security, ICISS 2017

作者： Rao, Routhu Srinivasa Pais, Alwyn Roshan Information Security and Research Lab Department of Computer Science and Engineering National Institute of Technology SurathkalKarnataka India

ISBN: (纸本)9783319725970

Existing anti-phishing techniques like whitelist or blacklist detect the phishing sites based on the database of approved and unapproved URLs. Most of the current phishing attacks are actually replicas or variations of other attacks in the database. In this paper, we propose an enhanced blacklist method which uses key discriminate features extracted from the source code of the website for the detection of phishing websites. The main focus of our work is to detect the phishing sites which are replicas of existing websites with manipulated content. Each phishing website is identified with a unique fingerprint which is generated from the set of proposed features. We used Simhash algorithm to generate fingerprint for each website. The features used for calculating fingerprint are filenames of the request URLs (js, img, CSS, favicon), pathnames of request URLs (CSS, scripts, img, anchor links), and attribute values of tags (H1, H2, div, body, form). Our experimentation detected 84.36% of phishing sites as replicas of other phishing websites with manipulated content while maintaining zero false positive rate. The proposed method is similar to that of traditional blacklist with an advantage that it can detect replicated and manipulated phishing sites efficiently. © Springer International Publishing AG 2017.

关键词： Websites

Gated fusion network for single image dehazing

学校读者我要写书评

暂无评论

arXiv 2018年

作者： Ren, Wenqi Ma, Lin Zhang, Jiawei Pan, Jinshan Cao, Xiaochun Liu, Wei Yang, Ming-Hsuan IIE Cas Tencent Ai Lab City University of Hong Kong Nanjing University of Science and Technology School of Cyber Security University of Chinese Academy of Sciences University of California Electrical Engineering and Computer Science Merced United States

In this paper, we propose an efficient algorithm to directly restore a clear image from a hazy input. The proposed algorithm hinges on an end-to-end trainable neural network that consists of an encoder and a decoder. The encoder is exploited to capture the context of the derived input images, while the decoder is employed to estimate the contribution of each input to the final dehazed result using the learned representations attributed to the encoder. The constructed network adopts a novel fusion-based strategy which derives three inputs from an original hazy image by applying White Balance (WB), Contrast Enhancing (CE), and Gamma Correction (GC). We compute pixel-wise confidence maps based on the appearance differences between these different inputs to blend the information of the derived inputs and preserve the regions with pleasant visibility. The final dehazed image is yielded by gating the important features of the derived inputs. To train the network, we introduce a multi-scale approach such that the halo artifacts can be avoided. Extensive experimental results on both synthetic and real-world images demonstrate that the proposed algorithm performs favorably against the state-of-the-art algorithms. Copyright © 2018, The Authors. All rights reserved.

关键词： Image enhancement

ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples

学校读者我要写书评

暂无评论

arXiv 2018年

作者： Jia, Xiaojun Wei, Xingxing Cao, Xiaochun Foroosh, Hassan Institute of Information Engineering Chinese Academy of Sciences Cyberspace Security Research Center Peng Cheng Laboratory Shenzhen518055 China Department of Computer Science and Technology Tsinghua University Department of Electrical Engineering and Computer Science University of Central Florida

Deep neural networks (DNNs) have been demonstrated to be vulnerable to adversarial examples. Specifically, adding imperceptible perturbations to clean images can fool the well trained deep neural networks. In this paper, we propose an end-to-end image compression model to defend adversarial examples: ComDefend. The proposed model consists of a compression convolutional neural network (ComCNN) and a reconstruction convolutional neural network (RecCNN). The ComCNN is used to maintain the structure information of the original image and purify adversarial perturbations. And the RecCNN is used to reconstruct the original image with high quality. In other words, ComDefend can transform the adversarial image to its clean version, which is then fed to the trained classifier. Our method is a pre-processing module, and does not modify the classifier’s structure during the whole process. Therefore, it can be combined with other model-specific defense models to jointly improve the classifier’s robustness. A series of experiments conducted on MNIST, CIFAR10 and ImageNet show that the proposed method outperforms the state-of-the-art defense methods, and is consistently effective to protect classifiers against adversarial attacks. Copyright © 2018, The Authors. All rights reserved.

关键词： Network security

A Fuzzy-PSO System for Indoor Localization based on Visible Light Communications

学校读者我要写书评

暂无评论

arXiv 2018年

作者： Pau, Giovanni Collotta, Mario Maniscalco, Vincenzo Choo, Kim-Kwang Raymond Faculty of Engineering and Architecture Kore University of Enna Enna94100 Italy Dept. of Info. Systems and Cyber Security and Department of Electrical and Computer Engineering University of Texas at San Antonio San AntonioTX78249-0631 United States

Indoor positioning systems using Visible Light Communication (VLC) have potential applications in smart buildings, for instance, in developing economical, easy-touse, widely accessible positioning system based on Light Emitting Diodes (LEDs). Thus using VLCs, we introduce a new fuzzy-based system for indoor localization in this paper. The system processes data from transmitters (i.e., anchor nodes) and delivers the calculated position of a receiver. A Particle Swarm Optimization (PSO) technique is then employed to obtain the optimal configuration of the proposed Fuzzy Logic Controllers (FLCs). Specifically, the proposed PSO technique optimizes the membership functions of the FLCs by adjusting their range to achieve the best results regarding the localization reliability. We demonstrate the utility of the proposed approach using experiments. Copyright © 2018, The Authors. All rights reserved.

关键词： Particle swarm optimization (PSO)

Probabilistic Caching as Mixed Strategies in Spatially-Coupled Edge Caching

学校读者我要写书评

暂无评论

Probabilistic Caching as Mixed Strategies in Spatially-Coupl...

Biennial Symposium on Communications, QBSC

作者： Jie Gao Lian Zhao Limin Sun Department of Electrical and Computer Engineering Ryerson University Toronto Canada Beijing Key Laboratory of IoT Information Security Technology Institute of Information Engineering Chinese Academy of Sciences Beijing China

The problem of probabilistic caching in a network with multiple edge nodes and user nodes is studied. Files with different lengths, caches with different sizes, and spatial coupling through overlapping service areas are considered. The connection between caching probabilities and strategy-mixing probabilities in a mixed strategy is characterized. It is found that a given set of caching probabilities for an edge node can correspond to more than one mixed strategies. Through this characterization, caching probabilities can be decomposed into pure caching strategies and corresponding strategy-mixing probabilities. Moreover, the best-response caching strategy of an EN is studied and obtained based on the spatial-coupling discounted file preference level. The impact of information availability and request scenario on the best-response strategy is analyzed. Numeric examples demonstrate the best-response strategy and the decomposition of the caching probabilities into pure strategies and strategy-mixing probabilities.

关键词： Probabilistic logic Games Couplings Probability distribution Electronic mail Indexes Servers

DPHL:A DIA Pan-human Protein Mass Spectrometry Library for Robust Biomarker Discovery

学校读者我要写书评

暂无评论

Genomics, Proteomics & Bioinformatics 2020年第2期18卷 104-119页

作者： Tiansheng Zhu Yi Zhu Yue Xuan Huanhuan Gao Xue Cai Sander R.Piersma Thang V.Pham Tim Schelfhorst Richard R.G.D.Haas Irene V.Bijnsdorp Rui Sun Liang Yue Guan Ruan Qiushi Zhang Mo Hu Yue Zhou Winan J.Van Houdt Tessa Y.S.Le Large Jacqueline Cloos Anna Wojtuszkiewicz Danijela Koppers-Lalic Franziska Bottger Chantal Scheepbouwer Ruud H.Brakenhoff Geert J.L.H.van Leenders Jan N.M.Ijzermans John W.M.Martens Renske D.M.Steenbergen Nicole C.Grieken Sathiyamoorthy Selvarajan Sangeeta Mantoo Sze S.Lee Serene J.Y.Yeow Syed M.F.Alkaff Nan Xiang Yaoting Sun Xiao Yi Shaozheng Dai Wei Liu Tian Lu Zhicheng Wu Xiao Liang Man Wang Yingkuan Shao Xi Zheng Kailun Xu Qin Yang Yifan Meng Cong Lu Jiang Zhu Jin'e Zheng Bo Wang Sai Lou Yibei Dai Chao Xu Chenhuan Yu Huazhong Ying Tony K.Lim Jianmin Wu Xiaofei Gao Zhongzhi Luan Xiaodong Teng Peng Wu Shi'ang Huang Zhihua Tao Narayanan G.Iyer Shuigeng Zhou Wenguang Shao Henry Lam Ding Ma Jiafu Ji Oi L.Kon Shu Zheng Ruedi Aebersold Connie R.Jimenez Tiannan Guo Zhejiang Provincial Laboratory of Life Sciences and Biomedicine Westlake UniversityHangzhou 310024China Key Laboratory of Structural Biology of Zhejiang Province School of Life SciencesWestlake UniversityHangzhou 310024China Institute of Basic Medical Sciences Westlake Institute for Advanced StudyHangzhou 310024China School of Computer Science Shanghai Key Laboratory of Intelligent Information ProcessingFudan UniversityShanghai 200433China Thermo Fisher Scientific(BREMEN)GmbH Bremen 28195Germany OncoProteomics Laboratory Department of Medical OncologyVU University Medical CenterVU UniversityAmsterdam 1011The Netherlands Amsterdam UMC Vrije Universiteit AmsterdamUrologyCancer Center AmsterdamAmsterdam 1011The Netherlands Thermo Fisher Scientific Shanghai 201206China The Netherlands Cancer Institute Surgical OncologyAmsterdam 1011The Netherlands Amsterdam UMC Vrije Universiteit AmsterdamSurgeryCancer Center AmsterdamAmsterdam 1011The Netherlands Amsterdam UMC Vrije Universiteit AmsterdamPediatric Oncology/HematologyCancer Center AmsterdamAmsterdam 1011The Netherlands Amsterdam UMC Vrije Universiteit AmsterdamHematologyCancer Center AmsterdamAmsterdam 1011The Netherlands Amsterdam UMC Vrije Universiteit AmsterdamMedical OncologyCancer Center AmsterdamAmsterdam 1011The Netherlands Amsterdam UMC Vrije Universiteit AmsterdamNeurosurgeryCancer Center AmsterdamAmsterdam 1011The Netherlands Amsterdam UMC Vrije Universiteit AmsterdamPathologyCancer Center AmsterdamAmsterdam 1011The Netherlands Amsterdam UMC Vrije Universiteit AmsterdamOtolaryngology/Head and Neck SurgeryCancer Center AmsterdamAmsterdam 1011The Netherlands Erasmus MC University Medical Center PathologyRotterdam 1016LVThe Netherlands Erasmus MC University Medical Center SurgeryRotterdam 1016LVThe Netherlands Erasmus MC University Medical Center Medical OncologyRotterdam 1016LVThe Netherlands Department of Anatomical Pathology Singapore General HospitalSingapore 169608Singapore Division of Medical Scie

To address the increasing need for detecting and validating protein biomarkers in clinical specimens,mass spectrometry(MS)-based targeted proteomic techniques,including the selected reaction monitoring(SRM),parallel reaction monitoring(PRM),and massively parallel dataindependent acquisition(DIA),have been *** optimal performance,they require the fragment ion spectra of targeted peptides as prior *** this report,we describe a MS pipeline and spectral resource to support targeted proteomics studies for human tissue *** build the spectral resource,we integrated common open-source MS computational tools to assemble a freely accessible computational workflow based on *** then applied the workflow to generate DPHL,a comprehensive DIA pan-human library,from 1096 data-dependent acquisition(DDA)MS raw files for 16 types of cancer *** extensive spectral resource was then applied to a proteomic study of 17 prostate cancer(PCa)***,PRM validation was applied to a larger study of 57 PCa patients and the differential expression of three proteins in prostate tumor was *** a second application,the DPHL spectral resource was applied to a study consisting of plasma samples from 19 diffuse large B cell lymphoma(DLBCL)patients and 18 healthy control *** expressed proteins between DLBCL patients and healthy control subjects were detected by DIA-MS and confirmed by *** data demonstrate that the DPHL supports DIA and PRM MS pipelines for robust protein biomarker *** is freely accessible at https://***/page/***?id=IPX0001400000.

关键词： Data-independent acquisition Parallel reaction monitoring Spectral library Prostate cancer Diffuse large B cell lymphoma