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Securing the Cloud Security Strategies for the Ubiquitous Data Center

Insider Computer Fraud An In-depth Framework for Detecting and Defending against Insider IT Attacks

Insider Computer Fraud An In-depth Framework for Detecting and Defending against Insider IT Attacks

An organization’s employees are often more intimate with its computer system than anyone else. Many also have access to sensitive information regarding the company and its customers. This makes employees prime candidates for sabotaging a system if they become disgruntled or for selling privileged information if they become greedy. Insider Computer Fraud: An In-depth Framework for Detecting and Defending against Insider IT Attacks presents the methods safeguards and techniques that help protect an organization from insider computer fraud. Drawing from the author’s vast experience assessing the adequacy of IT security for the banking and securities industries the book presents a practical framework for identifying measuring monitoring and controlling the risks associated with insider threats. It not only provides an analysis of application or system-related risks it demonstrates the interrelationships that exist between an application and the IT infrastructure components it uses to transmit process and store sensitive data. The author also examines the symbiotic relationship between the risks controls threats and action plans that should be deployed to enhance the overall information security governance processes. Increasing the awareness and understanding necessary to effectively manage the risks and controls associated with an insider threat this book is an invaluable resource for those interested in attaining sound and best practices over the risk management process. | Insider Computer Fraud An In-depth Framework for Detecting and Defending against Insider IT Attacks

GBP 56.99
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The Internet of Things and Big Data Analytics Integrated Platforms and Industry Use Cases

The Internet of Things and Big Data Analytics Integrated Platforms and Industry Use Cases

This book comprehensively conveys the theoretical and practical aspects of IoT and big data analytics with the solid contributions from practitioners as well as academicians. This book examines and expounds the unique capabilities of the big data analytics platforms in capturing cleansing and crunching IoT device/sensor data in order to extricate actionable insights. A number of experimental case studies and real-world scenarios are incorporated in this book in order to instigate our book readers. This bookAnalyzes current research and development in the domains of IoT and big data analyticsGives an overview of latest trends and transitions happening in the IoT data analytics spaceIllustrates the various platforms processes patterns and practices for simplifying and streamlining IoT data analytics The Internet of Things and Big Data Analytics: Integrated Platforms and Industry Use Cases examines and accentuates how the multiple challenges at the cusp of IoT and big data can be fully met. The device ecosystem is growing steadily. It is forecast that there will be billions of connected devices in the years to come. When these IoT devices resource-constrained as well as resource-intensive interact with one another locally and remotely the amount of multi-structured data generated collected and stored is bound to grow exponentially. Another prominent trend is the integration of IoT devices with cloud-based applications services infrastructures middleware solutions and databases. This book examines the pioneering technologies and tools emerging and evolving in order to collect pre-process store process and analyze data heaps in order to disentangle actionable insights. | The Internet of Things and Big Data Analytics Integrated Platforms and Industry Use Cases

GBP 42.99
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