- Authors:
- Asaf Shabtai,
- Yuval Elovici,
- Lior Rokach
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 Springers 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 companys brand, reduce shareholder value, and damage the companys 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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- Dagher G, Fung B, Mohammed N and Clark J (2019). : privacy-preserving data outsourcing framework with differential privacy, Knowledge and Information Systems, 62:5, (1923-1960), Online publication date: 1-May-2020.
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- Du D, Yu L and Brooks R Semantic Similarity Detection For Data Leak Prevention Proceedings of the 10th Annual Cyber and Information Security Research Conference, (1-6)
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- Guri M, Kedma G, Carmeli B and Elovici Y Limiting access to unintentionally leaked sensitive documents using malware signatures Proceedings of the 19th ACM symposium on Access control models and technologies, (129-140)
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Index Terms
- A Survey of Data Leakage Detection and Prevention Solutions
Reviews
David Bruce Henderson
"Springer Briefs" is a series of short books to help information and communications technology (ICT) professionals learn about new or unfamiliar technologies. This work is from that series, providing an introduction to the detection of corporate data loss and leaks. The book begins with a number of short chapters. The first is a general introduction to information security, which is particularly useful for defining terminology. This is followed by a definition of data leakage, some examples of significant incidents from the past, and a discussion of solutions for preventing data leakage and loss. Protecting data through anonymization and basic privacy issues are also covered. Three case studies are presented, and the final chapter looks into the future of data leakage. Given that the book contains around 100 pages, detailed coverage of the topic is not possible. What is included is covered reasonably, particularly in the chapter on anonymization and privacy. All in all, the book amounts to a good, concise brief for quickly coming to grips with the basics of protecting corporate data from leakage and loss. The brevity of the work has obviously limited the topics that could be covered and reduced the level of detail possible. There is a good table of contents and a thorough list of references. There is no index, but one isn't really needed. Online Computing Reviews Service
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