This book introduces fundamentals and trade-offs of data de-duplication techniques. It describes novel emerging de-duplication techniques that remove duplicate data both in storage and network in an e
This book presents several compact and fast methods for online traffic measurement of big network data. It describes challenges of online traffic measurement, discusses the state of the field, and pro
There is increasing pressure to protect computer networks against unauthorized intrusion, and some work in this area is concerned with engineering systems that are robust to attack. However, no system
Fieldbus Technology (FT) is an enabling platform that is becoming the preferred choice for the next generation real-time automation and control solutions. This book incorporates a selection of researc
Learn network and data security by analyzing the Anthem breach and step-by-step how hackers gain entry, place hidden software, download information, and hide the evidence of their entry. Understand th
In this book, authors Boss and Solaiman present readers with a guide to the employment of fusion of information and analytics technology (FIAT) to address information overload and complexity
This book introduces resource-aware data fusion algorithms to gather and combine data from multiple sources (e.g., sensors) in order to achieve inferences. These techniques can be used in centralized
Collecting sensory data about people and the environment is now achievable using the latest advances of sensor and networking technologies such as environmental sensors, wearable sensors and social ne
This brief explores two of the main challenges of spatial network data analysis: the many connected components in the spatial network and the many candidates that have to be processed. Within this boo
An introduction to a range of cyber security issues explains how to utilize graphical approaches to displaying and understanding computer security data, such as network traffic, server logs, and execu
This book rests upon a smooth integration between image fusion and data mining for information retrieval and content-based mapping in the context of different environmental applications, and it focuse
Modelling urban flood dynamics requires proper handling of a number of complex urban features. Although high-resolution topographic data can nowadays be obtained from aerial LiDAR surveys, such top-vi
This book introduces resource-aware data fusion algorithms that generate inferences by combining data from multiple sources techniques useful in centralized and distributed systems to overcome sensor
Editor Verma (IBM Thomas J. Watson Research Center) and 46 co-authors stress the importance of collaboration and interoperability between multiple independently developed networks in modern military c
This graduate text book provides a formal analysis of alternative, non-relational data models and storage mechanisms and gives a decent overview of non-SQL query languages. It describes a perspective
Practical and informal, this manual clearly defines Master Data Management (MDM), a set of processes and tools that consistently define and manage the nontransactional data entities of an organizatio
