This professional guide and reference examines the challenges of assessing security vulnerabilities in computing infrastructure. Various aspects of vulnerability assessment are covered in detail, including recent advancements in reducing the requirement for expert knowledge through novel applications of artificial intelligence. The work also offers a series of case studies on how to develop and perform vulnerability assessment techniques using start-of-the-art intelligent mechanisms.
In addition to serving the needs of security practitioners and researchers, this accessible volume is also ideal for students and instructors seeking a primer on artificial intelligence for vulnerability assessment, or a supplementary text for courses on computer security, networking, and artificial intelligence.
So glad you found me, because I know why you're here! You've been frustrated with your body, and you're tired of the way you feel. You feel like you have to accept that this is what AGING is all about.
Have you been feeling tired throughout the day and listless? Has the gym become a torture chamber and your muscles fatigue too quickly? You're relying on caffeine or sugary treats to get you through your afternoons.
This book reviews the theoretical concepts, leading-edge techniques and practical tools involved in the latest multi-disciplinary approaches addressing the challenges of big data. Illuminating perspectives from both academia and industry are presented by an international selection of experts in big data science. Topics and features: describes the innovative advances in theoretical aspects of big data, predictive analytics and cloud-based architectures; examines the applications and implementations that utilize big data in cloud architectures; surveys the state of the art in architectural approaches to the provision of cloud-based big data analytics functions; identifies potential research directions and technologies to facilitate the realization of emerging business models through big data approaches; provides relevant theoretical frameworks, empirical research findings, and numerous case studies; discusses real-world applications of algorithms and techniques to address the challenges of big datasets.
Application of Big Data for National Security provides users with state-of-the-art concepts, methods, and technologies for Big Data analytics in the fight against terrorism and crime, including a wide range of case studies and application scenarios. This book combines expertise from an international team of experts in law enforcement, national security, and law, as well as computer sciences, criminology, linguistics, and psychology, creating a unique cross-disciplinary collection of knowledge and insights into this increasingly global issue.
The strategic frameworks and critical factors presented in Application of Big Data for National Security consider technical, legal, ethical, and societal impacts, but also practical considerations of Big Data system design and deployment, illustrating how data and security concerns intersect. In identifying current and future technical and operational challenges it supports law enforcement and government agencies in their operational, tactical and strategic decisions when employing Big Data for national security
An understanding of cloud technology innovation is becoming increasingly essential for IT practitioners, as entrepreneurs realise the business requirements fulfilment potential of an enterprise perspective of cloud computing.
This important text provides a single point of reference for state-of-the-art cloud computing design and implementation techniques. The book examines cloud computing from the perspective of enterprise architecture, asking the question; how do we realize new business potential with our existing enterprises? Divided into four parts covering all aspects of cloud computing for enterprise architectures, the text introduces fundamental concepts and principles, examines approaches and frameworks for the adoption of cloud computing, explores existing issues and challenges, and presents future directions and ideas for further research.
Topics and features: with a Foreword by Thomas Erl; contains contributions from an international selection of preeminent experts; presents the state-of-the-art in enterprise architecture approaches with respect to cloud computing models, frameworks, technologies, and applications; discusses potential research directions, and technologies to facilitate the realization of emerging business models through enterprise architecture approaches; provides relevant theoretical frameworks, and the latest empirical research findings.
Collecting together the latest theoretical, practical and evaluative work in the field, this authoritative reference can also be used as a primer for self-study. As such, it will appeal to a broad audience from enterprise architects and application developers, to business leaders and IT infrastructure managers, in addition to students and researchers.
Most engineers learn about money the hard way: by experience in the workplace. The authors having done this themselves recognized the gap in engineers? education and set out to bridge it. This book is based on a 1996 course George Solt pioneered for final-year engineering undergraduates. The book is written in an approachable style and gives young engineers as well as mature engineers an insight into the way engineering businesses run, the importance of capital and the problems of cash flow.
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