Amongst some key limitations of MapReduce is that it serves well for tasks requiring batch processing but not suitable for real-time...

The basic architecture of MapReduce offer simple and powerful programming model on large clusters of commodity machines for scalable...

Cloud computing is currently a forerunner technology amongst other information and computing technologies, powered by attributes like,...

UbaidullahBokhari, Shallal and Tamandani (2016) mentioned some of the key security issues faced by cloud as data traffic hijacking,...

Joshi and Kadhiwala (2017) highlighted couple of security issues which are inherently related to big data during data transition and data...

Varying implementation of cloud computing applications, web and enterprise requiring different database features, which are not usually...

MapReduce is an efficient yet simple framework of programming model (Yan, Yang, Yu, Li & Li, 2012). The framework divide the job into...

Security intelligence is defined as the continuous real-time collection, normalization and analysis of varying data sources generated by...

Machine generated attacks can be performed using various ways but the two popular methods are, bot-net based attacks and proxy-based...

Kazemi and Zarrabi (2017) presented a machine learning approach using deep learning network technique for the fraud detection in the...

Sakr and Hammoud (2014) defined the distributed system as the one with computers networked together and communicate with each other...

Graph data is defined as model of data network with interacting and relational nodes, like social networks, web graphs etc. (Chen, Weng,...