| 期刊全称 | A Survey of Data Leakage Detection and Prevention Solutions | | 影响因子2023 | Asaf Shabtai,Yuval Elovici,Lior Rokach | | 视频video | | | 发行地址 | Includes supplementary material: | | 学科分类 | SpringerBriefs in Computer Science | | 图书封面 |  | | 影响因子 | 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 practitioner | | Pindex | Book 2012 |
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发表于 2025-3-21 18:13:45
