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A Survey of Data Leakage Detection and Prevention Solutions (Paperback, 2012)
Loot Price: R1,469
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A Survey of Data Leakage Detection and Prevention Solutions (Paperback, 2012)
Series: SpringerBriefs in Computer Science
Expected to ship within 10 - 15 working days
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SpringerBriefs present concise summaries of cutting-edge research
and practical applications across a wide spectrum of fields.
Featuring compact volumes of 50 to 100 pages (approximately 20,000-
40,000 words), the series covers a range of content from
professional to academic. Briefs allow authors to present their
ideas and readers to absorb them with minimal time investment. As
part of Springer's eBook collection, SpringBriefs are published to
millions of users worldwide. Information/Data Leakage poses a
serious threat to companies and organizations, as the number of
leakage incidents and the cost they inflict continues to increase.
Whether caused by malicious intent, or an inadvertent mistake, data
loss can diminish a company's brand, reduce shareholder value, and
damage the company's goodwill and reputation. This book aims to
provide a structural and comprehensive overview of the practical
solutions and current research in the DLP domain. This is the first
comprehensive book that is dedicated entirely to the field of data
leakage and covers all important challenges and techniques to
mitigate them. Its informative, factual pages will provide
researchers, students and practitioners in the industry with a
comprehensive, yet concise and convenient reference source to this
fascinating field. We have grouped existing solutions into
different categories based on a described taxonomy. The presented
taxonomy characterizes DLP solutions according to various aspects
such as: leakage source, data state, leakage channel, deployment
scheme, preventive/detective approaches, and the action upon
leakage. In the commercial part we review solutions of the leading
DLP market players based on professional research reports and
material obtained from the websites of the vendors. In the academic
part we cluster the academic work according to the nature of the
leakage and protection into various categories. Finally, we
describe main data leakage scenarios and present for each scenario
the most relevant and applicable solution or approach that will
mitigate and reduce the likelihood and/or impact of the leakage
scenario.
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