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检索条件"主题词=NoSQL databases"

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Basic nosql Injection Analysis And Detection On MongoDB

Basic NOSQL Injection Analysis And Detection On MongoDB

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International Conference on Advanced Computation and Telecommunication (ICACAT)

作者： Vrinda Sachdeva Sachin Gupta Department of CSE MVN University Palwal India

ISBN: (纸本)9781538653685

In recent years the usage of Information technology has unexpectedly increasing resulting in huge data generation. Many companies have taken initiative to use no relational database for managing the data. It has powerful function to manage big data. Huge amount of data has been generated every day. It possibly results in malicious information into the database. No sql database gaining popularity due to its powerful features like scalability, flexibility, faster data access and availability. In this paper, we will analyze the injection on nosql database. We also propose defense method by using php and java script. MongoDB is one of the most secure and powerful no sql database. In this paper we demonstrate, basic no sql injection attack and propose defense method to secure the no sql database. In this way, no sql database programmer be aware of the basic no sql injection attack mechanism and create a more secure database to store huge data.

关键词： nosql databases Malware Computer hacking SQL injection Companies

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A Homomorphic Searching Scheme For Sensitive Data In nosql Database

A Homomorphic Searching Scheme For Sensitive Data In NoSQL D...

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IEEE/ACM Int'l Conference on & Int'l Conference on Cyber, Physical and Social Computing (CPSCom) Green Computing and Communications (GreenCom)

作者： Baohua Huang Sheng Liang Dongdong Xu Zhuohao Wan School of Computer and Electronic Information Guangxi University Nanning Guangxi China

nosql database system is widely used in Big Data environment for its high performance and scalability. Due to the width of usage of nosql database, it is inevitable to store sensitive data in it. Utilizing homomorphic encryption, sensitive data can be encrypted and calculated in the form of ciphertext to preserve privacy. Although calculating on homomorphically encrypted data is possible, searching on these data is not simple for the calculating results are encrypted and the search engine doesn't know what data should be sent back to the requester. A homomorphic searching scheme is proposed to handle this problem. In this scheme, the searching function is divided into two parts named homomorphic comparing and homomorphic decryption. The homomorphic comparing is executed by the encrypted data holder, and the homomorphic decryption is executed by the key holder. With this scheme, encrypted data holder can only get encrypted data and calculate the encrypted differences of these data, and the key holder can only get the encrypted differences and decrypt them. A sample implementation of the scheme with MongoDB is given. Analysis and experimental results show that the proposed scheme is secure and practical.

关键词： Encryption nosql databases Search engines Big Data

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NVCL: Exploiting NVRAM in Cache-Line Granularity Differential Logging

NVCL: Exploiting NVRAM in Cache-Line Granularity Differentia...

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IEEE Non-Volatile Memory Systems and Applications Symposium (NVMSA)

作者： Mingzhe Zhang Xin Yao Cho-Li Wang The University of Hong Kong

ISBN: (纸本)9781538674048

Emerging byte-addressable non-volatile memory is considered an alternative storage device for persistence guarantee with high performance. In this work, we design NVCL (NVRAM Cache-Line Granularity Logging) and develop it in Redis. The proposed NVCL exploits the cache-line flush granularity of NVRAM to maintain the write-ahead differential log and is able to flush non-continuous dirty cache lines to guarantee persistence. NVCL effectively reduces the size of persistent logs by only flushing updated data in every memory page. We measured the performance on an Intel machine with a 16 GiB non-volatile dual in-line memory module (NVDIMM). Our performance study shows that NVCL can save up to 127× NVRAM writes and shows 84% speedup comparing to Redis append-only-file logging mechanism. NVCL also reduces up to 50% NVRAM writes and achieves 15% speedup over state-of-the-art logging mechanism NVWAL.

关键词： Nonvolatile memory Random access memory nosql databases Benchmark testing Computer crashes Memory modules

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Big data Analytics of cyber attacks: a review

Big data Analytics of cyber attacks: a review

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IEEE International Conference on System, Computation, Automation and Networking (ICSCAN)

作者： M V Suraj Nikhil Kumar Singh Deepak Singh Tomar CSE Department MANIT Bhopal India

Cyber crime over big data is expand with unprecedented rate that badly affects the Internet industry and the global data. Progressively sophisticated attack and offensive methods used by cyber attacker and the growing role of data-driven and intelligence-driven adversaries demonstrate that traditional approaches to mitigate cyber threats are becoming ineffective. Big Data in wide areas also freely available for Marketing, Criminal activities and Fraud detection, Epidemic Intelligence etc. It is tedious job to analysis big data on traditional database, nosql have been developed as a scalable platform to store and process large amount of data. In this paper, different types of attacks on big data, its storage mechanism and real time analytics approaches are *** taking social media data as a big data, studies different social network attacks and provided a problem statement based on the study.

关键词： Big Data Distributed databases Social network services nosql databases Data models Servers

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BIG DATA MANAGEMENT OF SEA SURFACE WIND DATA

BIG DATA MANAGEMENT OF SEA SURFACE WIND DATA

引用

IEEE International Geoscience and Remote Sensing Symposium

作者： Felix R. Rodriguez Daniel Teomiro Villa Jaime Pina Cambero Diego J. Merino Fernandez Department of Computer Science and Telematic System Engineering School of Technology Cáceres Spain

Global wind data are increasingly used in many applications and research fields because it provides global coverage of ocean surface winds with an unprecedented view, and data are available at a sufficiently large spatial scale and high temporal resolution. nosql databases are increasingly used in Big Data applications due to its simplicity and flexibility of the data models design, the effectiveness of recoveries, the control over the system availability, and their horizontal scaling. Thus, the integration of heterogeneous data sources in only one nosql database repository, to select and recover diverse regions of interest of geospatial wind data, to analyze them via Data Mining applications, and to visualized their results, are the main objectives of this work.

关键词： Geospatial big data Wind data Geospatial data mining Geospatial data integration nosql databases

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Developing Multiple Nested Schema to Reduce Data Redundancy in COnosqlDB Schema

Developing Multiple Nested Schema to Reduce Data Redundancy ...

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International Conference on Applied Information Technology and Innovation (ICAITI)

作者： Sutedi Teguh Bharata Adji Noor Akhmad Setiawan Department of Electrical Engineering and Information Technology Universitas Gadjah Mada Yogyakarta Indonesia

ISBN: (纸本)9781538667279;9781538667262

The Corporate's interest of cloud computing based system continues accelerating due to its efficiency, promising performance and better scalability. Most of these systems use the Not Only SQL (nosql) database. The database has different characteristics from the relational database. Data migration from a relational database to a column-oriented nosql database (COnosqlDB) can use the concept of Multiple Nested Schema. The concept has proved to be effectual to boost query performance but at the cost of high data redundancy. This study proposes a new conversion method called Enhanced Multiple Nested Schema, developed of Multiple Nested Schema by adding rules to identify and eliminate inter-table transitive dependency-one of the major causes of data redundancy. We aim to reduce data redundancy in COnosqlDB Schema. The objective is to generate COnosqlDB schema much better. Previous research did not pay attention to transitive dependency problems when doing schema conversion. The proposed conversion mechanism produces an efficient COnosqlDB database schema. However, the schema guarantees complete data and allows queries quickly. This means that the additional rules proposed in this study can improve the COnosqlDB schema generated using the previous method.

关键词： cloud computing data reduction nosql databases query processing relational databases Relational databases data redundancy schema Cloud Computing query analysis data reduction

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The Read Amplification Analysis of nosql Database on Top of OSDs: A Case Study of HBase

The Read Amplification Analysis of NoSQL Database on Top of ...

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International Conference on Big Data Computing and Communications (BIGCOM)

作者： Shiyong Liu Zhongwen Guo Chen Liu Xupeng Wang Guohua Wang Zhijin Qiu Xukun Qin Ocean University of China South China University of Technology Qilu University of Technology (Shandong Academy of Sciences) University of Minnesota Twin Cities

The nosql database has showed a great improvement for large-scale datasets storage and compute. As for the conventional deployment architecture, they can obtain tremendously good performance as storage and compute are running in the same node. Nevertheless, many nosql users have their own storage pool (e.g., OSD server pool) which provides different interfaces for different nosql databases. Many benefits are achieved from this new application scenarios, such as higher scalability, better flexibility and data maintainability. However, the physical separation of nosql application and storage nodes potentially influences the system performance. To better understand the new scenario, we take HBase, a common nosql database, as a study. HBase exploit a layered storage architecture with two main layers, a distributed database atop a distributed file system (HDFS). We perform experiments with YCSB benchmark and a new developed benchmark to evaluate the separation deployment of RegionServer and HDFS server and verify the read amplification of network I/O between them. Based on our observations we propose a novel OSD Agent direction consisting of HBase Local Storage Scanner and HBase Local Storage Compactor to reduce the amplification by filtering out the requested data from the data block on OSD server pool. From the simulation results, the OSD Agent can reduce the network traffic amplification from 36x-92x to 1.7x for HBase read operation, 1.2x-21x to 1.2x for HBase scan with column filter operation. Moreover, the OSD Agent makes the read performance less sensitive to the network bandwidth. The OSD Agent brings in great performance improvement for nosql Database on top of OSDs.

关键词： Servers nosql databases Computer architecture Compaction Benchmark testing Bandwidth Scalability

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Analysis of the Logical Consistency in Cassandra

Analysis of the Logical Consistency in Cassandra

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International Conference on Software Testing, Verification, and Validation, ICST

作者： Pablo Suárez-Otero University of Oviedo Spain

ISBN: (纸本)9781538650134

Most methods to test the consistency of data in relational databases are based on checking the integrity of the data through testing of the schema. However, in nosql databases, there is no schema and the data is denormalized, so we need new methods to test the consistency of the database. One of these nosql databases is Cassandra, where each table is created to satisfy one query. As the same information could be retrieved by several queries, this information may be found in several tables. In these cases, whenever there is a change of the values of a row in a table, the consistency could be affected. In this thesis, we propose a preventive approach to this problem, where we test the consistency of the data by doing a static analysis of the Cassandra tables when there is a change of the data that could affect the consistency. To achieve this, we will use a conceptual model to help us in the static analysis.

关键词： Data models nosql databases Static analysis Software testing Relational databases

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MapReduce Research on Warehousing of Big Data 40

MapReduce Research on Warehousing of Big Data

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40th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)

作者： Pticek, M. Vrdoljak, B. Univ Zagreb Fac Elect Engn & Comp Dept Appl Comp Zagreb Croatia

ISBN: (纸本)9789532330922

The growth of social networks and affordability of various sensing devices has lead to a huge increase of both human and non-human entities that are interconnected via various networks, mostly Internet. All of these entities generate large amounts of various data, and BI analysts have realized that such data contain knowledge that can no longer be ignored. However, traditional support for extraction of knowledge from mostly transactional data data warehouse - can no longer cope with large amounts of fast incoming various, unstructured data - big data - and is facing a paradigm shift. Big data analytics has become a very active research area in the last few years, as well as the research of underlying data organization that would enhance it, which could be addressed as big data warehousing. One research direction is enhancing data warehouse with new paradigms that have proven to be successful at handling big data. Most popular of them is the MapReduce paradigm. This paper provides an overview on research and attempts to incorporate MapReduce with data warehouse in order to empower it for handling of big data.

关键词： Big Data Data warehouses nosql databases Warehousing Structured Query Language Google

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Design and Implementation of Falling Star A Non-Redudant Spatio-Multidimensional Logical Model for Document Stores 19

Design and Implementation of Falling Star <i>A Non</i>-<i>Re...

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19th International Conference on Enterprise Information Systems (ICEIS)

作者： Ferrahi, Ibtisam Bimonte, Sandro Kang, Myoung-Ah Boukhalfa, Kamel Univ Mhamed Bougara Boumerdes Fac Sci Dept Comp Sci Boumerdes Algeria TSCF Irstea 9 Av Blaise Pascal Aubiere France Blaise Pascal Univ ISIMA LIMOS UMR CNRS Campus Cezeaux F-63178 Aubiere France Houari Boumediene Univ Sci & Technol LSI Lab USTHB Algiers Algeria

ISBN: (纸本)9789897582479

In the context of Spatial Big Data, some nosql spatial DBMSs have been developed to deal with the Spatiality, Velocity, Variety, and Volume of Spatial Big Data. In this context, some works recently study nosql logical Data Warehouse (DW) models. However, these proposals do not investigate storing and querying spatial data. Therefore, in this paper we, propose a new logical model for document Spatial DWs. Moreover, motivated by the expressivity, readability and interoperability offered by UML profile, we represent our model using a UML profile. Finally, we present an implementation in document Spatial DBMSs.

关键词： Multidimensional Model nosql databases Data Warehouses

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