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Publishing Social Network Graph Eigenspectrum with Privacy Guarantees

Publishing Social Network Graph Eigenspectrum with Privacy G...

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作者： Ahmed, Faraz Liu, Alex X. Jin, Rong Department of Computer Science and Engineering Michigan State University East LansingMI United States Michigan State University East LansingMI United States

Online social networks (OSNs) often refuse to publish their social network graphs due to privacy concerns. Recently, differential privacy has become the widely accepted criteria for privacy preserving data publishing. Although some work has been done on publishing matrices with differential privacy, they are computationally unpractical as they are not designed to handle large matrices such as adjacency matrices of OSN graphs. In this paper, we propose a random matrix approach to OSN data publishing, which achieves storage and computational efficiency by reducing dimensions of adjacency matrices and achieves differential privacy by adding a small amount of noise. Our key idea is to first project each row of an adjacency matrix into a low-dimensional space using random projection, and then perturb the projected matrix with random noise, and finally publish the perturbed and projected matrix. In this paper, we first prove that random projection plus random perturbation preserve differential privacy, and also that the random noise required to achieve differential privacy is small. We validate the proposed approach and evaluate the utility of the published data for three different applications, namely node clustering, node ranking, and node classification, using publicly available OSN graphs of Facebook, LiveJournal, and Pokec. © 2013 IEEE.

关键词： Social networking (online)

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SNPD 2019 Message from conference Chairs

Proceedings - 20th IEEE/ACIS International Conference on Sof...

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Proceedings - 20th IEEE/ACIS international conference on Software Engineering, Artificial Intelligence, networking and Parallel/distributed computing, SNPD 2019 2019年 viii页

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Software-defined networking for ubiquitous healthcare service delivery 9th

Software-defined networking for ubiquitous healthcare servic...

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9th international EAI conference on Broadband Communications, Networks, and Systems, Broadnets 2018

作者： Andriopoulou, Foteini Birkos, Konstantinos Mantas, Georgios Lymberopoulos, Dimitrios Department of Electrical and Computer Engineering University of Patras Patras26500 Greece Faculty of Engineering and Science University of Greenwich London United Kingdom Instituto de Telecomunicações Aveiro Portugal

ISBN: (纸本)9783030051945

The growth of the mobile, portable devices and the server-to-server communication through cloud computing increase the network traffic. The dependence of the ubiquitous healthcare service delivery on the network connectivity creates failures that may interrupt or delay the treatment plan with adverse effects in patients’ quality of life even leading to mortality. In the present work, we propose the incorporation of Software Defined networking (SDN) features in the healthcare domain in order to provide the appropriate bandwidth and guarantee the accurate real time medical data transmission independently of the connectivity of the ISP provider. The SDN controller monitors the network traffic and specifies how traffic should be routed providing load balancing, lower delays and better performance. Finally, the proposed healthcare architecture addresses the SDN scalability challenge by incorporating the logically centralized control plane using multiple distributed controllers. A 2-tier hierarchical overlay is formed among SDN controllers following the principles of peer-to-peer networking. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019.

关键词： Software defined networking

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An efficient spectrum sharing approach for cognitive radio enabled vehicular cloud 22

An efficient spectrum sharing approach for cognitive radio e...

引用

22nd international conference on Computer and Information Technology, ICCIT 2019

作者： Elahi, Mohammad Mamun Mahbubur Rahman, Md. United International University Department of CSE Dhaka Bangladesh Military Institute of Science and Technology Department of CSE Dhaka Bangladesh

ISBN: (纸本)9781728158426

Vehicular ad hoc networks (VANETs) is an active area of research that enables road safety and infotainment applications for vehicular users. Although a significant amount of efforts is given in the literature, many non-trivial problems and challenges are still to be solved due to the inherent characteristics of vehicular networks like high mobility and dynamic topology change. Cognitive radio (CR) and cloud computing (CC) are two of the latest technologies used in vehicular networks to address those challenges. CR enables VANETs to deal with opportunistic spectrum management for utilizing the unused spectrum of licensed users by secondary users to solve the scarcity of spectrum. Vehicular cloud (VC) uses cloud computing to enable vehicles with excess storage or bandwidth to share the resources with other vehicles, who are willing to use that extra resource at some pre-determined rate of price. One of the main challenges of cognitive radio-enabled vehicular ad hoc networks (CR-VANETs) is efficiently assigning wireless channels to the secondary users (vehicles) on demand so that maximum vehicles can communicate with the available spectrum without interference. Many approaches have already been proposed in the literature. Centralized algorithms suffer from lack of scalability and utilization of resources. On the other hand, distributed approaches need coordination and coverage issue. In this paper, we have developed a Cognitive Radio-enabled Vehicular Cloud networking (CR-VCN) framework to assign channels in a distributed way to the vehicular cloud members to maximize efficiency in terms of overall network throughput and minimize interferences among the users. Extensive simulation and analysis shows the effectiveness of the approach in terms of some performance measures. © 2019 IEEE.

关键词： Vehicular ad hoc networks

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distributed Mechanism for Computation Offloading Task Routing in Mobile Edge Cloud Network

Distributed Mechanism for Computation Offloading Task Routin...

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international conference on computing, networking and Communications (ICNC)

作者： Dong, Lijun Li, Richard Huawei Technol Co Ltd 10180 Telesis CtSuite 220 San Diego CA 92121 USA Huawei Technol Co Ltd 2330 Cent Expressway Santa Clara CA 95050 USA

ISBN: (纸本)9781538692233

The paper proposes a distributed mechanism for computation offloading task routing and dispatching in Mobile Edge Cloud (MEC) networks, based on an evolutional Internet framework named Big IP (BPP). The necessary information for computation offloading requests and server status updates is proposed in the paper, which can be carried in the Instructions and Metadata blocks as the extensions to the current IP packet. The numerical results are given to show the performance efficiency of the proposed BPP based mechanism in providing the high precision latency guarantee and reducing the control overhead for computation offloading.

关键词： Mobile Edge Cloud computation offloading energy consumption high precision latency guarantee

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A trust architecture for blockchain in IoT 19

A trust architecture for blockchain in IoT

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Proceedings of the 16th EAI international conference on Mobile and Ubiquitous Systems: computing, networking and Services

作者： Volkan Dedeoglu Raja Jurdak Guntur D. Putra Ali Dorri Salil S. Kanhere Data61 Australia The Queensland University of Technology Australia UNSW Sydney Australia

ISBN: (纸本)9781450372831

Blockchain is a promising technology for establishing trust in IoT networks, where network nodes do not necessarily trust each other. Cryptographic hash links and distributed consensus mechanisms ensure that the data stored on an immutable blockchain can not be altered or deleted. However, blockchain mechanisms do not guarantee the trustworthiness of data at the origin. We propose a layered architecture for improving the end-to-end trust that can be applied to a diverse range of blockchain-based IoT applications. Our architecture evaluates the trustworthiness of sensor observations at the data layer and adapts block verification at the blockchain layer through the proposed data trust and gateway reputation modules. We present the performance evaluation of the data trust module using a simulated indoor target localization and the gateway reputation module using an end-to-end blockchain implementation, together with a qualitative security analysis for the architecture.

关键词： distributed consensus blockchain IoT data trust reputation

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M3AT: Monitoring Agents Assignment Model for Data-Intensive Applications

M3AT: Monitoring Agents Assignment Model for Data-Intensive ...

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Euromicro conference on Parallel, distributed and Network-Based Processing

作者： Vladislav Kashansky Dragi Kimovski Radu Prodan Prateek Agrawal Fabrizio Marozzo Gabriel Iuhasz Marek Marozzo Javier Garcia-Blas Institute of Information Technology University of Klagenfurt Austria University of Calabria Italy West University of Timisoara Romania Poznan Supercomputing and Networking Center Poland University Carlos III of Madrid Spain

ISBN: (数字)9781728165820

ISBN: (纸本)9781728165837

Nowadays, massive amounts of data are acquired, transferred, and analyzed nearly in real-time by utilizing a large number of computing and storage elements interconnected through high-speed communication networks. However, one issue that still requires research effort is to enable efficient monitoring of applications and infrastructures of such complex systems. In this paper, we introduce an Integer Linear Programming (ILP) model called M3AT for optimized assignment of monitoring agents and aggregators on large-scale computing systems. We identified a set of requirements from three representative data-intensive applications and exploited them to define the model's input parameters. We evaluated the scalability of M3AT using the Constraint Integer Programing (SCIP) solver with default configuration based on synthetic data sets. Preliminary results show that the model provides optimal assignments for subsystems composed of up to 200 monitoring agents with complex I/O policies, while keeping the number of aggregators constant and demonstrates variable sensitivity with respect to the scale of monitoring data aggregators and limitation policies imposed.

关键词： Monitoring Measurement Computer architecture Computational modeling Tools Data models Programming

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Impact of consensus on appendable-block blockchain for IoT 16

Impact of consensus on appendable-block blockchain for IoT

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16th EAI international conference on Mobile and Ubiquitous Systems - computing, networking and Services (MobiQuitous)

作者： Lunardi, Roben C. Michelin, Regio A. Neu, Charles, V Nunes, Henry C. Zorzo, Avelino F. Kanhere, Salil S. IFRS Porto Alegre RS Brazil Pontificia Univ Catolica Rio Grande do Sul Porto Alegre RS Brazil UNSW CSE Sydney NSW Australia Cyber Secur CRC Joondalup Australia Univ Santa Cruz do Sul Santa Cruz do Sul RS Brazil

ISBN: (纸本)9781450372831

The Internet of Things (IoT) is transforming our physical world into a complex and dynamic system of connected devices on an unprecedented scale. Connecting everyday physical objects is creating new business models, improving processes and reducing costs and risks. Recently, blockchain technology has received a lot of attention from the community as a possible solution to overcome security issues in IoT. However, traditional blockchains (such as the ones used in Bitcoin and Ethereum) are not well suited to the resource-constrained nature of IoT devices and also with the large volume of information that is expected to be generated from typical IoT deployments. To overcome these issues, several researchers have presented lightweight instances of blockchains tailored for IoT. For example, proposing novel data structures based on blocks with decoupled and appendable data. However, these researchers did not discuss how the consensus algorithm would impact their solutions, i.e., the decision of which consensus algorithm would be better suited was left as an open issue. In this paper, we improved an appendable-block blockchain framework to support different consensus algorithms through a modular design. We evaluated the performance of this improved version in different emulated scenarios and studied the impact of varying the number of devices and transactions and employing different consensus algorithms. Even adopting different consensus algorithms, results indicate that the latency to append a new block is less than 161ms (in the more demanding scenario) and the delay for processing a new transaction is less than 7ms, suggesting that our improved version of the appendable-block blockchain is efficient and scalable, and thus well suited for IoT scenarios.

关键词： Blockchain distributed Ledgers IoT Consensus Security

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A Study for a Name-based Coordination of Autonomic IoT Functions 14

A Study for a Name-based Coordination of Autonomic IoT Funct...

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14th international conference on Wireless and Mobile computing, networking and Communications (WiMob)

作者： Asaamoning, Godwin Mendes, Paulo Univ Lusofona COPELABS Lisbon Portugal

ISBN: (纸本)9781538668764

The Internet-of-Things represent a future trend of the Internet, in which massive numbers of networked objects are assumed to have the capability of sharing data collected through sensing activities. It is envisioned that such objects are not dedicated hardware modules embedded specific machines communicating via proprietary wired or wireless networks to dedicated software applications. On contrary, Internet-of-Things may have a more autonomic deployment, in which objects are autonomous and communicate via existing IP based networks. Due to its distributed nature, there is the need to rely on autonomic networking to improve the efficiency while reducing the operational costs of Internet-of-Things frameworks. This paper aims to provide a study about the best data plane to support Internet-of-Things, and an analysis about the best model to support its distributed autonomic behavior.

关键词： Internet-of-Things Edge computing Autonomic networking Named Data networking

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CRAWL: A Trace Routing Algorithm Based on Hybrid Two-Layer Topology 33rd

CRAWL: A Trace Routing Algorithm Based on Hybrid Two-Layer T...

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33rd international conference on Advanced Information networking and Applications, AINA 2019

作者： Zheng, Li-ming Long, Wen-feng Liu, Yu-Jia Sun, Wei-dong Department of Message Communication Armed Police Officer Academy Chengdu China National Key Laboratory for Parallel and Distributed Processing School of Computer National University of Defense Technology Changsha China

ISBN: (纸本)9783030150341

Data distribution is a key technology for resources convergence and sharing in distributed environment. To better meet the requirement for real time data distribution in the dynamic network, a trace routing algorithm named CRAWL based on the hybrid two-layered topology is put forward. The algorithm contains an overlay topology named CBDLO, upper of which consists of multiple distributed balanced binary trees corresponding to different properties and the lower of which is an unstructured topology. CRAWL forwards the data on the lower unstructured topology in the form of random walk, so that the data can be sent to the corresponding upper topology entry. It also includes a matching algorithm named CDM for the parallel matching data properties on the upper distributed and balanced binary tree and transmitting the matched data to the nodes that are interested in the data. The experimental results show that the algorithm can effectively support large-scale data distribution in a dynamical network, reduce distribution overhead and matching delays. © 2019, Springer Nature Switzerland AG.

关键词： Routing algorithms

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