Titlebook: Big Data Concepts, Theories, and Applications; Shui Yu,Song Guo Book 2016 Springer International Publishing Switzerland 2016 Big data.Big

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zonules

Big Data Tools and Platforms,e of the multitude of the tools and platforms involved it is often difficult for the Big Data practitioners to understand and select the right tools for addressing a given business problem related to Big Data. In this chapter we cover an introductory discussion to the various Big Data Tools and Plat

大笑

Traffic Identification in Big Internet Data, the problems of dynamic ports and encrypted payload in traditional port-based and payload-based methods, the state-of-the-art method employs flow statistical features and machine learning techniques to identify network traffic. This chapter reviews the statistical-feature based traffic classificati

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Security Theories and Practices for Big Data, well and has been widely adopted to provide big data services. However, outsourcing and resource sharing features of cloud computing lead to security concerns when applied to big data applications, e.g., confidentiality of data/program, and integrity of the processing procedure. On the other hand,

漸強

Torrid

Big Data Storage Security,ritical challenge to the data storage systems. Firstly, since 60?. of the stored data is claimed to be redundant, data deduplication technology becomes an attractive solution to save storage space and traffic in a big data environment. Secondly, the security issues, such as confidentiality, integrit

guardianship

Cyber Attacks on MapReduce Computation Time in a Hadoop Cluster,pletion time of a MapReduce job when a node is compromised in a Hadoop cluster. We studied three attack methods: (1) blocking all incoming data from the master node except for the special messages that relay the status of the slave node, (2) delaying the delivery of packets that are sent to the mast

Trochlea

Security and Privacy for Big Data,major trend, in this chapter we provide an overview of state-of-the-art research issues and achievements in the field of security and privacy of big data, by highlighting recent advances in data encryption, privacy preservation and trust management. In section of data encryption, searchable encrypti

Affirm

ungainly

Geospatial Big Data for Environmental and Agricultural Applications,challenges and opportunities as far as their access, archiving, processing and analytics are concerned. Currently, huge imaging streams are reaching several petabytes in many satellite archives worldwide. In this chapter, we review the current state-of-the-art in big data frameworks able to access,