This paper proposes a key-value based data hiding method for NoSQL database. Our proposed method is applied on the database generated by MongoDB (document-oriented database). It only modifies the structure of the key-...
详细信息
ISBN:
(纸本)9781538661130
This paper proposes a key-value based data hiding method for NoSQL database. Our proposed method is applied on the database generated by MongoDB (document-oriented database). It only modifies the structure of the key-value attributes for hiding information without affecting the contents stored in the database. On technical aspects, our method allows flexibly to change the sequence of the key-value attributes in order to embed the bit "0" or bit "1" into the rows of tables in the database. After hiding the information into the database of MongoDB, the operations such as select, insert, export, import and so on.
JSON documents are raising as a common format for data representation due to the increasing popularity of NoSQL document-oriented databases. One of the reasons for such a popularity is their ability to handle large vo...
详细信息
ISBN:
(纸本)9781538626597
JSON documents are raising as a common format for data representation due to the increasing popularity of NoSQL document-oriented databases. One of the reasons for such a popularity is their ability to handle large volumes of data at the absence of an explicit data schema. However, schema information is sometimes essential for applications during data retrieval, integration and analysis tasks, for example. Given this context, this paper presents an approach that extracts a schema from a JSON or Extended JSON document collection stored in a NoSQL document-oriented database or other document repository. Aggregation operations are considered in order to obtain a schema for each distinct structure in the collection, and a hierarchical data structure is proposed to group these schemas in order to generate a global schema in JSON Schema format. Experiments conducted on actual datasets, like DBPedia and Foursquare, demonstrate that the accuracy of the generated schemas is equivalent or even superior than related work.
In connection with the rapid increase in the volume semistructured and unstructured data, the question of optimal saving is quite important. In optimal storage, it is important saving them in a convenient format for f...
详细信息
ISBN:
(纸本)9783319459912;9783319459905
In connection with the rapid increase in the volume semistructured and unstructured data, the question of optimal saving is quite important. In optimal storage, it is important saving them in a convenient format for further processing. To resolve this issue done some review and analysis of non-relational databases and their applications are on a real example for system preservation and processing of information about medicines.
The rapid growth of Internet of Things (IoT) makes the task for digital forensic more difficult. At the same time, the data analyzing technology is also developing in a feasible pace. Where traditional Structured Quer...
详细信息
ISBN:
(纸本)9781631901560
The rapid growth of Internet of Things (IoT) makes the task for digital forensic more difficult. At the same time, the data analyzing technology is also developing in a feasible pace. Where traditional Structured Query Language (SQL) is not adequate to analyze the data in an unstructured and semi-structured format, Not only Standard Query Language (NoSQL) unfastens the access to analyzing the data of all format. The large volume of data of to I's turns into Big Data which just do not enhance the probability of attaining of evidence of an incident but make the investigation process more complex. This paper aims to analyze Big Data for Digital Forensic (DF) investigation using NoSQL. MongoDB has been used to analyze Big Forensic Data in the form of document-oriented database. The proposed solution is capable of analyzing Big Forensic Data in the form of NoSQL more specifically documentoriented data in a cost-effective, efficient way as all the tools is being used are open source.
document-oriented databases are popular databases, in which users can store their documents in a schema-less manner and perform search queries for them. They have been widely used for web applications that process a l...
详细信息
ISBN:
(纸本)9781467379526
document-oriented databases are popular databases, in which users can store their documents in a schema-less manner and perform search queries for them. They have been widely used for web applications that process a large collection of documents because of their high scalability and rich functions. One of major functions of document-oriented databases is a string search that requires a high computational cost for a large collection of documents, because its computational complexity increases as the documents increase. In document-oriented databases, a database index is typically used for improving text search queries. However, the index cannot always be used for text search queries, such as a regular expression match search. To accelerate such queries by using GPUs, in this paper, we propose a GPU-friendly cache structure, called DDB Cache (document-oriented database Cache), which is extracted from a document-oriented database. By using GPU and DDB Cache, we can improve a performance of text search queries without relying on the database indexes. We implemented DDB Cache for MongoDB. Experimental results using GeForce GTX 980 show that our approach improves the performance of regular expression search queries by up to 101x compared to the original document-oriented database.
Description: It should be viewed as an alternative to relational databases. Like relational databases, it too can benefit from being paired with some of the more specialized NoSQL solutions. MongoDB has advantages and...
详细信息
Description: It should be viewed as an alternative to relational databases. Like relational databases, it too can benefit from being paired with some of the more specialized NoSQL solutions. MongoDB has advantages and drawbacks, which we’ll cover in later parts of this book.
The Internet of Things (IoT) consists of networked objects deployed worldwide and connected over the Internet. As a consequence, the major aspects of the IoT are represented by the heterogeneity and the huge number of...
详细信息
ISBN:
(纸本)9780769548654;9781467351461
The Internet of Things (IoT) consists of networked objects deployed worldwide and connected over the Internet. As a consequence, the major aspects of the IoT are represented by the heterogeneity and the huge number of the participating devices. These aspects also constitute the major challenges in the definition of a storage infrastructure suitable for IoT applications. In this paper, we introduce a novel data model and storage infrastructure for the IoT to address these challenges. Different from other works in the literature, we exploit a document-oriented approach and show how it is suitable to support both heterogeneous and multimedia data. Our solution is built on top of the CouchDB database server, offers a RESTful API, and provides a rich set of features targeted to IoT applications. Moreover, we devise optimized schemes for uploading documents which are specifically tailored to resource-constrained IoT devices. We evaluate our proposed schemes both analytically and with experiments in a real system.
Cílem bakalářské práce je implementace víceuživatelského systému pro správu vědeckých publikací, který je schopný pracovat tak jak s místními ...
详细信息
Cílem bakalářské práce je implementace víceuživatelského systému pro správu vědeckých publikací, který je schopný pracovat tak jak s místními úložišti dokumentů, tak se vzdáleným prostřednictvím protokolů HTTP a SFTP. Tyto dokumenty může systém vyhledávat a třídit podle zadaných klíčových slov, tak aj organizovat do skupin podle požadavek uživatelů. Výsledkem je multiplatformní aplikace implementovaná v jazyce Java.
暂无评论