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IEEE 23rd International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

作者： Jafarizadeh, Saber Jamalipour, Abbas Univ Sydney Sch Elect & Informat Engn Sydney NSW 2006 Australia

ISBN: (纸本)9781467325691

In this paper an algorithm for distributed data storage in large-scale sensor networks has been proposed. The main objective is to distribute the generated information throughout the network to increase its lifetime. At the same time it is desired that the original data can be recovered later by collecting the contents of a limited number of sensor nodes. In the scenario considered here the sensor nodes have limited energy and memory and each sensor saves only one encoded packet. Also sensors do not hold any routing table and no global information regarding network topology is available. The algorithm proposed here is based on Raptor codes and it inherits their linear time encoding and decoding complexity. Random walks are used for disseminating data amongst sensor nodes. Major benefits of the algorithm presented here is that it utilizes the online decoding property of Raptor codes by achieving the desired code degree distribution and for estimating the required global information regarding network topology, no excessive random walks and transmissions are used.

关键词： Sensor networks distributed data storage Raptor codes Random walk

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A Novel Approach for Efficient Management of data Lifespan of IoT Devices

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IEEE INTERNET OF THINGS JOURNAL 2020年第5期7卷 4566-4574页

作者： Asiri, Mohammed Sheltami, Tarek Al-Awami, Louai Yasar, Ansar Najran Univ Dept Comp Sci Najran 11001 Saudi Arabia King Fahd Univ Petr & Minerals Dept Comp Engn Dhahran 31261 Saudi Arabia Hasselt Univ Transportat Res Inst IMOB B-3512 Hasselt Belgium

Wireless sensor networks (WSNs) are mainly data-driven networks adopted to improve the Internet of Things (IoT) in terms of data throughput, energy efficiency, and self-management. Improving the data lifespan of WSN impacts the performance of the IoT. Achieving data reliability in applications of WSNs deployed in harsh environments is challenging due to the extreme constraints in resources of sensor nodes (SNs). Motivated by the inexpensive infrastructure of WSNs, a number of distributed storage systems have been proposed focusing on achieving data survivability rather than network reliability. In this article, we focus on data storage at the things layer (wireless sensors). We evaluate the performance of a number of distributed data storage systems (DDSSs) over WSN running over the ZigBee MAC protocol. Based on our findings, we introduce a new efficient-energy data dissemination scheme called data survivability with energy efficiency (DSwEE) that outperforms the existing schemes. We compare DSwEE against two prominent protocols in data storage, namely, decentralized erasure code for data survivability (DEC-DS) and decentralized erasure code encode-and-disseminate (DEC-EaD). Results show that DSwEE achieves better performance than both DEC-DS and DEC-EaD in terms of the energy consumption and data recoverability for localized failures, which improves the lifespan of the network.

关键词： Wireless sensor networks Encoding Internet of Things distributed databases Relays Redundancy Routing data survivability decentralized erasure codes (DEC) distributed data storage Internet of Things (IoT) wireless sensor networks (WSNs)

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Regarding the Technology of distributed storage of Confidential Information in Centers of General-Purpose data Processing

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AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS 2017年第3期51卷 117-119页

作者： Zaitsev, A. V. Gostev, S. S. Cherkashin, P. A. Shcherbakov, A. Y. U. OOO MEDIA Moscow 117246 Russia Contsern GRANIT Moscow 119019 Russia Russian Acad Sci Fed Res Ctr Comp Sci & Control Moscow 119333 Russia

The problem of the development of an architectural project and a mathematical model for storing confidential information in centers for processing general purpose data is discussed.

关键词： data processing center distributed data storage information security

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The Explicit Coding Rate Region of Symmetric Multilevel Diversity Coding

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IEEE TRANSACTIONS ON INFORMATION THEORY 2020年第2期66卷 1053-1077页

作者： Guo, Tao Yeung, Raymond W. Chinese Univ Hong Kong Inst Network Coding Hong Kong Peoples R China Chinese Univ Hong Kong Dept Informat Engn Hong Kong Peoples R China Texas A&M Univ Dept Elect & Comp Engn College Stn TX 77843 USA

It is well known that superposition coding, namely separately encoding the independent sources, is optimal for symmetric multilevel diversity coding (SMDC) (Yeung-Zhang 1999) for any $L\geq 2$ , where $L$ is the number of levels of the coding system. However, the characterization of the coding rate region therein involves uncountably many linear inequalities and the constant term (i.e., the lower bound) in each inequality is given in terms of the solution of a linear optimization problem. Thus this implicit characterization of the coding rate region does not enable the determination of the achievability of a given rate tuple. In principle, the achievability of a given rate tuple can be determined by direct computation, but the complexity is prohibitive even for $L=5$ . In this paper, for any fixed $L$ , we obtain in closed form a finite set of linear inequalities for characterizing the coding rate region. We further show by the symmetry of the problem that only a much smaller subset of this finite set of inequalities needs to be verified in determining the achievability of a given rate tuple. Yet, the cardinality of this smaller set grows at least exponentially fast with $L$ . We also present a subset entropy inequality, which together with our explicit characterization of the coding rate region, is sufficient for proving the optimality of superposition coding.

关键词： Encoding Decoding Optimization Entropy Network coding Random variables Complexity theory Symmetric multilevel diversity coding superposition coding network coding closed-form distributed data storage robust network communication

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Cerberus: Privacy-Preserving Computation in Edge Computing

Cerberus: Privacy-Preserving Computation in Edge Computing

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39th IEEE International Conference on Computer Communications (IEEE INFOCOM)

作者： Zhang, Dilu Fan, Lei Shanghai Jiao Tong Univ Sch Elect Informat & Elect Engn Shanghai Peoples R China

ISBN: (纸本)9781728186955

Edge computing reduces the overhead of data centers and improves the efficiency of data processing. However, traditional cloud data protection mechanisms are no longer applicable to edge devices. data leakage and other privacy issues may occur when computation is outsourced to edge nodes. The decentralization raises new privacy challenge for data control, storage and computation. In this work, we present Cerberus, a brand-new framework that preserves data privacy in edge computing by combining blockchain, distributed data storage and trusted execution environment (TEE). Blockchain is used to maintain a global computation state, and also acts as a medium of information interaction. distributed data storage provides a secure and large-capacity storage. TEE-based off-chain computation guarantees confidentiality and efficiency of data processing. We also implement a prototype of Cerberus using Hyperledger Fabric and Intel SGX. Our evaluation on a sample of data sorting application shows that Cerberus achieves significant speed ups over previous cryptographic schemes. Compared with non secure computation, Cerberus can preserve data privacy without incurring much performance loss.

关键词： Edge Computing data Privacy Blockchain distributed data storage TEE

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Development of Software Component for Analysis and Visualization of Digital Cloud Platform data in Higher Education 9

Development of Software Component for Analysis and Visualiza...

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9th Mediterranean Conference on Embedded Computing (MECO)

作者： Perepelkin, Dmitry Saprykin, Aleksey Ivanchikova, Maria Kosorukov, Sergey Ryazan State Radio Engn Univ RSREU Fac Comp Engn Ryazan Russia

ISBN: (纸本)9781728169491

Currently, in various fields of activity there is a tendency to orient various companies towards digital cloud services. The development and widespread adoption of cloud computing technologies allows flexibly configuring large-scale computing systems and configuring large amounts of data at the request of users. The aim of this work is to develop a software component for the analysis and visualization of digital cloud platform data in higher education. The paper describes in detail the place of the developed software component in the overall architecture of the digital cloud platform. The general structure of the software component and the developed methods of data analysis and visualization are presented in detail. The proposed approaches allow providing users with convenient tools for analysis and visualization of general statistics on a digital cloud platform.

关键词： distributed computing digital cloud platform distributed data storage cloud computing software component Pandora

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Coded Caching Clusters with Device-to-Device Communications

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IEEE TRANSACTIONS ON MOBILE COMPUTING 2019年第2期18卷 264-275页

作者： Paakkonen, Joonas Barreal, Amaro Hollanti, Camilla Tirkkonen, Olav Aalto Univ Dept Commun & Networking FI-00076 Aalto Finland Aalto Univ Dept Math & Syst Anal FI-00076 Aalto Finland

We consider a geographically constrained caching community where popular data files are cached on mobile terminals and distributed through Device-to-Device (D2D) communications. To ensure availability, data files are protected against user mobility, or churn, with select caching and erasure coding methods. Communication and storage costs are considered, with an objective of minimizing the consumption of radio resources, given an available storage size. We focus on finding the coding method that minimizes the overall cost. Closed-form expressions for the expected consumption of radio resources incurred by data delivery and redundancy maintenance are derived. Closed form transmission costs in a circular caching community with a specific node density and caching method are calculated, when cost obeys a power law of distance. Our results are illustrated by numerical examples and verified by extensive computer simulations.

关键词： Device-to-device communications regenerating codes wireless caching Markov processes distributed data storage

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distributed data Validation for a Key-value Store in a Decentralized Electric Vehicle Charging Network 11

Distributed Data Validation for a Key-value Store in a Decen...

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11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management / 11th International Conference on Knowledge Management and Information Systems (KMIS)

作者： Kirpes, Benedikt Roon, Micha Burgahn, Christopher Univ Mannheim Mannheim Germany Share & Charge Fdn Zug Switzerland

ISBN: (纸本)9789897583827

The mobility sector experiences a fundamental shift to more connected, autonomous, shared and electric means of transportation. For an electric mobility system to function, an efficient and reliable electric vehicle charging network is required. The Open Charging Network, which is built and curated by the Share&Charge Foundation is a digital, open and decentralized infrastructure for operating and connecting assets of the e-mobility ecosystem like charge points and electric vehicles. In such a network validity and consistency of data are crucial. Since the underlying information system is designed based on distributed ledger technologies and distributed hash tables, also the validation of data for the respective key-value store should be implemented and executed in a distributed manner. In this paper, we contribute to the body of research by analyzing the current situation in distributed systems and presenting the design and development of a mechanism for a distributed data validation. We provide an outlook into the future implementation within the Open Charging Network, where the solution will be demonstrated in a suitable context. Further it will be evaluated regarding the primary requirement of data validity and secondary requirements such as availability, reliability and scalability.

关键词： E-Mobility Systems Smart Charging Infrastructure Information Systems distributed Systems distributed data storage distributed Hash Table Key-value Store data Validation Consensus Mechanism

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distributed data storage in Sensor Networks Based on Raptor Codes 23rd

Distributed Data Storage in Sensor Networks Based on Raptor ...

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IEEE International Symposium on Personal, Indoor and Mobile Radio Communications

作者： Saber Jafarizadeh Abbas Jamalipour School of Electrical and Information Engineering University of Sydney Sydney NSW 2006 Australia

ISBN: (纸本)9781467325660

关键词： Sensor networks distributed data storage Raptor codes Random walk

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On the Creation of a Universal Protected Trusted Digital Asset (Token)

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AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS 2018年第5期52卷 265-273页

作者： Grinyaev, S. N. Zlotin, R. A. Milushkin, A. I. Pravikov, D. I. Selionov, I. A. Shcherbakov, A. Yu. Shchuko, Yu. N. Natl Res Univ Gubkin Russian State Univ Oil & Gas Moscow 119991 Russia Moscow Reg Chamber Lawyers Moscow 142200 Russia Technopk Pushkino Project Management Co Pushchino 141207 Moscow Region Russia Moscow Tech Univ MIREA Inst Complex Secur & Special Instrument Engn Moscow 119454 Russia Russian Acad Sci All Russian Inst Sci & Tech Informat VINITI Moscow 125190 Russia

In this paper, we address the problem of developing a next-generation universal protected trusted digital asset based on a universal data structure and a new trust and security paradigm.

关键词： trust token blockchain authentication code distributed data storage information security auction encryption integrity control smart contract token development tools digital financial asset transaction platform operator

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