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IEEE Annual Conference on Pervasive Computing and Communications Workshops (PerCom)

作者： Yang Chen Yuxi Yang Jiyao Hu Chenfan Zhuang School of Computer Science Fudan University Shanghai China Ministry of Education Engineering Research Center of Cyber Security Auditing and Monitoring China The State Key Laboratory of Computer Science Chinese Academy of Sciences China Malong Technologies Co. Ltd. Shenzhen China

Being a leading online service providing both local search and social networking functions, Foursquare has attracted tens of millions of users all over the world. As a location-centric platform, Foursquare maintains the information of numerous venues, and it has recorded a tremendous amount of users' tips for these venues. Tips (micro-reviews) play a critical role in helping users find a good venue and providing comments for the venue owners. A lot of studies have been done in investigating social connections and check-in patterns among Foursquare users. However, there is a lack of a thorough study on tips, the primary type of user-generated contents (UGCs) in Foursquare. In this paper, by crawling and analyzing all tips published by more than 6 million users, we study Foursquare's tips from various aspects. We start from counting the number of tips published by different users and conduct a group-based analysis of the average number of published tips per user. Moreover, we look into the important fields of tips. We study the venue category distribution, and the evolution of the number and diversity of tips. Finally, we conduct a series of sentiment analysis by referring to the texts of all tips and introduce the concept of happiness index to evaluate the overall level of satisfaction of a set of tips. To the best of our knowledge, our study presents the first comprehensive and unbiased picture of tips in Foursquare.

关键词： Social network services Sentiment analysis Entropy Mathematical model computer science Indexes Mobile computing

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Bandwidth-aware delayed repair in distributed storage systems

Bandwidth-aware delayed repair in distributed storage system...

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International Workshop on Quality of Service

作者： Jiajie Shen Jiazhen Gu Yangfan Zhou Xin Wang School of Computer Science Fudan University Shanghai China The State Key Laboratory of Integrated Services Networks Xidian University Xi'an China Ministry of Education Engineering Research Center of Cyber Security Auditing and Monitoring China

In data storage systems, data are typically stored in redundant storage nodes to ensure storage reliability. When storage nodes fail, with the help of the redundant nodes, the lost data can be restored in new storage nodes. Such a regeneration process may be aborted, since storage nodes may fail during the process. Therefore, reducing the time of regeneration process is a well-known challenge to improve the reliability of storage systems. Delayed repair is a typical repair scheme in real-world storage systems. It reduces the overhead of the regeneration process by recovering multiple node failures simultaneously. How to reduce the regeneration time of delayed repair is yet to be well addressed. Since available bandwidth is flowing in storage systems and the regeneration time is seriously affected by the available bandwidth, we find the key to solve this problem is determining the start time of the regeneration process. Via modeling this problem with Lyaponuv optimization framework, we propose an OMFR scheme to reduce the regeneration time. The experimental results show that OMFR scheme can reduce cumulative regeneration time by up to 78% compared with traditional delayed repair schemes.

关键词： Maintenance engineering Bandwidth Reliability Memory Topology Network topology Overlay networks

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CCluster: A highly scalable and elastic OpenFlow control plane 23

CCluster: A highly scalable and elastic OpenFlow control pla...

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23rd IEEE International Symposium on Quality of Service, IWQoS 2015

作者： Qiu, Kun Tu, Renlong Huang, Siyuan Zhao, Jin Wang, Xin School of Computer Science Fudan University Shanghai China Engineering Research Center of Cyber Security Auditing and Monitoring Ministry of Education China

ISBN: (纸本)9781467371131

OpenFlow has been widely used in Software Defined Networking (SDN) to customize data plane behaviors through policies given by a logically centralized controller. The centralized control plane design brings the potential of simplifying network management, but it also raises scalability concern for large-scale networks. In this paper, we aim to build a highly scalable and flexible OpenFlow control plane. We propose the design and implementation of cCluster, which leverage the parallelism of cluster to balance the control plane load. Compared with existing solutions, cCluster can achieve better scalability, and can enable elastic management. We evaluated the scalability and response time of cCluster using Mininet, and our results show that cCluster can serve thousands of flow entries simultaneously, with only slightly latency penalty. © 2015 IEEE.

关键词： Scalability

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The security challenges in the IoT enabled cyber-physical systems and opportunities for evolutionary computing & other computational intelligence

The security challenges in the IoT enabled cyber-physical sy...

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Congress on Evolutionary Computation

作者： Hongmei He Carsten Maple Tim Watson Ashutosh Tiwari Jörn Mehnen Yaochu Jin Bogdan Gabrys Department of Manufacturing Cranfield University Cranfield MK43 OAL UK Cyber Security Centre - WMG University of Warwick UK Department of Computer Science University of Surrey UK School of Design Engineering & Computing Bournemouth University UK

Internet of Things (IoT) has given rise to the fourth industrial revolution (Industrie 4.0), and it brings great benefits by connecting people, processes and data. However, cybersecurity has become a critical challenge in the IoT enabled cyber physical systems, from connected supply chain, Big Data produced by huge amount of IoT devices, to industry control systems. Evolutionary computation combining with other computational intelligence will play an important role for cybersecurity, such as artificial immune mechanism for IoT security architecture, data mining/fusion in IoT enabled cyber physical systems, and data driven cybersecurity. This paper provides an overview of security challenges in IoT enabled cyber-physical systems and what evolutionary computation and other computational intelligence technology could contribute for the challenges. The overview could provide clues and guidance for research in IoT security with computational intelligence.

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The design and implementation of network attack and defense platform based on cloud desktop

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Journal of Physics: Conference Series 2017年第1期887卷

作者： Zining Yan Yunhan Wang Shijiao Shao Boquan Li Embedded System Lab. College of Computer Science and Technology Harbin China Institute of Information Engineering Chinese Academy of Sciences School of Cyber Security University of Chinese Academy of Sciences Key Laboratory of Network Assessment of Technology Chinese Academy of Sciences Beijing China

This paper discusses the cloud desktop technology, virtualization technology and penetration testing technology used in the network attack and defense training platform, and introduces the design and implementation process of the network attack and defense training platform. This paper focuses on the cloud desktop construction scheme based on B/S structure, and aims to enhance the flexibility and convenience of network attack and defense training platform.

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OCReM: OpenStack-based cloud datacentre resource monitoring and management scheme

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International Journal of High Performance Computing and Networking 2016年第1-2期9卷 31-44页

作者： Lu, Zhihui Bao, Jie Wu, Jie Hung, Patrick C.K. School of Computer Science Fudan University Shanghai200433 China IT Management Research Department Yokohama Research Laboratory Hitachi Ltd. Japan Engineering Research Center of Cyber Security Auditing and Monitoring Ministry of Education 200433 China Faculty of Business and IT University of Ontario Institute of Technology ON Canada

Managing virtualised computing, network and storage resources at large-scale in both public and private cloud datacentres is a challenging task. As an open source cloud operating system, OpenStack needs to be enhanced for managing cloud datacentre resources. In order to improve OpenStack functions to support cloud datacentre resource management, we present OCReM: OpenStack-based cloud datacentre resource monitoring and management scheme. First, we designed a virtual machine group life-cycle management module. Then, we designed and developed a cloud resource monitoring module based on the Nagios monitoring software and Libvirt interface. We conducted an integrated experiment to verify the performance improvement of group-oriented auto scaling and elastic load balancing policy based on real-time resource monitoring data. After that, we implemented the OCReM-EC2 hybrid cloud monitoring and auto scaling model. Finally, we analysed the prospective research direction and propose our future work. Copyright © 2016 Inderscience Enterprises Ltd.

关键词： Resource allocation

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Artificial neural networks in retinal image analysis 3

Artificial neural networks in retinal image analysis

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3rd International Conference on Signal Processing, Communication and Networking, ICSCN 2015

作者： Gayathri Devi, T.M. Sudha, S. Suraj, P. Department of Computer Science and Engineering Thiagarajar College of Engineering Madurai India Cyber Forensics and Information Security Electronics Research and Development Center of India Thiruvananthapuram India

ISBN: (纸本)9781467368230

Glaucoma disease detection from retinal images using classifiers like Least Square-Support Vector Machine classifier, Random forest, Dual Sequential Minimal Optimization classifier, Naive bayes classifier and Artificial neural networks. The textual features obtained from retinal images are used for this classification. Energy distributions over wavelet sub bands provide these features. The proposed system is using discrete wavelet transform to extract different wavelet features obtained from the three filters symlets (sym3), daubechies (db3) and bi-orthogonal (bio3.3, bio3.5, and bio3.7) wavelet filters. The energy signatures obtained from 2-D discrete wavelet transform is used for classifying and detecting glaucomatous and normal retinal images. © 2015 IEEE.

关键词： Discrete wavelet transforms

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Glaucoma detection from retinal images 2

Glaucoma detection from retinal images

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2nd International Conference on Electronics and Communication Systems, ICECS 2015

作者： Devi, T. M. Gayathri Sudha, S. Suraj, P. Department of Computer Science and Engineering Thiagarajar College of Engineering Madurai India Cyber Forensics and Information Security Electronics Research and Development Center of India Thiruvananthapuram India

ISBN: (纸本)9781479972241

Glaucoma disease detection from retinal images using classifiers like least square-Support Vector Machine classifier, random forest, dual Sequential Minimal Optimization classifier, naive bayes classifier and artificial neural networks. The textual features obtained from retinal images are used for this classification. Energy distributions over wavelet sub bands provides these features. The proposed system is using discrete wavelet transform to extract different wavelet features obtained from the three filters symlets (sym3), daubechies (db3)and biorthogonal (bio3.3, bio3.5, and bio3.7) wavelet filters. The energy signatures obtained from 2-D discrete wavelet transform is used for classifying and detecting glaucomatous and normal retinal images. © 2015 IEEE.

关键词： Discrete wavelet transforms

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Consistency Analysis for Secure Reconstruction in Secret Image Sharing 2015

Consistency Analysis for Secure Reconstruction in Secret Ima...

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13th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2015

作者： Hidayat, Anneke Soraya Lee, Gil-Je Yoon, Eun-Jun Yoo, Kee-Young School of Computer Science and Engineering Kyungpook National University Daegu Korea Republic of Department of Cyber Security Kyungil University Gyenggsan-Si Gyeongbuk Korea Republic of

ISBN: (纸本)9781450334938

Secret sharing is a scheme to distribute a secret message s into n participants, thus t or more participants can reconstruct the secret message s. While less than t shares can know nothing about the secret, the problem arises when there are more than t shares. The adversary A can use this to put their share in the last. This paper presents the analysis of consistency in secret image sharing when there are m participants, where = m= n and adversaries A among the reconstruction subset. The dealer collects t different pixels from the subset t out of the set of m repetitively. The results show that the higher threshold t can produce lower image quality when the adversary A is among of the subset. Hence, the dealer D can visually detect the adversary A when m = 2-1. It shows that the necessity of consistency is sufficient to determine the adversary A. © 2015 ACM.

关键词： Image reconstruction

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ESEC: An Ideal Secret Sharing Scheme

ESEC: An Ideal Secret Sharing Scheme

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1st International Conference on Intelligent Computing, Communication and Devices, ICCD 2014

作者： Sarath, Greeshma Deepu, S. Sundararajan, Sudharsan Achuthan, Krishnashree Department of Computer Science and Engineering Amrita Vishwa Vidyapeetham Amritapuri Kollam India Department of Cyber Security Systems and Networks Amrita Vishwa Vidyapeetham Amritapuri Kollam India

ISBN: (纸本)9788132220114

Secret sharing techniques have been used to ensure data confidentiality and enable secure reconstruction of data. In this paper, we propose a novel secret sharing scheme called ESEC based on Elliptic Curve Cryptography (ECC). The proposed scheme is to distribute a secret to a non-intersecting group of participants with different privilege levels. In our implementation, we have three phases involving share generation, distribution, and secret regeneration. The threshold of different privilege levels is different and for reconstruction of the secret all participants will have to be from the same privilege level. The proposed scheme is a perfect and ideal secret sharing scheme. © Springer India 2015.

关键词： Public key cryptography

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