Download A Survey of Data Leakage Detection and Prevention Solutions by Asaf Shabtai PDF

Download A Survey of Data Leakage Detection and Prevention Solutions by Asaf Shabtai PDF

By Asaf Shabtai

SpringerBriefs current concise summaries of state-of-the-art learn and sensible functions throughout a large spectrum of fields. that includes compact volumes of fifty to a hundred pages (approximately 20,000- 40,000 words), the sequence covers a number content material from expert to educational. Briefs enable authors to give their principles and readers to soak up them with minimum time funding. As a part of Springer’s booklet assortment, SpringBriefs are released to thousands of clients around the globe. Information/Data Leakage poses a significant possibility to businesses and corporations, because the variety of leakage incidents and the fee they inflict keeps to extend. no matter if attributable to malicious purpose, or an inadvertent mistake, facts loss can cut down a company’s model, lessen shareholder price, and harm the company’s goodwill and recognition. This publication goals to supply a structural and entire review of the sensible strategies and present examine within the DLP area. this can be the 1st accomplished ebook that's devoted solely to the sector of information leakage and covers all vital demanding situations and strategies to mitigate them. Its informative, real pages will supply researchers, scholars and practitioners within the with a entire, but concise and handy reference resource to this interesting box. we have now grouped current recommendations into diversified different types in accordance with a defined taxonomy. The provided taxonomy characterizes DLP strategies in line with a number of features resembling: leakage resource, facts kingdom, leakage channel, deployment scheme, preventive/detective techniques, and the motion upon leakage. within the advertisement half we assessment ideas of the prime DLP industry avid gamers according to specialist examine stories and fabric acquired from the internet sites of the owners. within the educational half we cluster the tutorial paintings based on the character of the leakage and safety into quite a few different types. eventually, we describe major info leakage eventualities and current for every situation the main appropriate and acceptable answer or method that might mitigate and decrease the possibility and/or effect of the leakage scenario.

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Extra info for A Survey of Data Leakage Detection and Prevention Solutions

Sample text

The strategy is to insert a honeytable, namely a table with a “sweet” name such as “CREDIT_CARDS” to attract malicious user. One of the main challenges in using honeytokens is to create honeytokens that are indistinguishable from real, genuine tokens. A method for creating honeytokens which represent human entities (like employees and customers) is proposed in [White, 2010]. The focus of this method is to create honeytokens which look like realistic records and which contain identifiable attributes such as names, addresses, social security numbers, phone numbers, email addresses, and so on.

Using machine learning methods to detect abnormal access behavior by analyzing query result-sets. Using supervised and unsupervised learning to detect abnormal access behavior by analyzing query result-sets and contextual information. Assigning a misusability score which estimates potential damage by measuring the sensitivity of the data that was exposed to the user. IDS - Learns a graph of user transactions by examining DBMS audit trail. Modeling the knowledge that an insider can infer from relational database systems.

The data-centric approach focuses on what the user is trying to access instead of how he or she expresses the request. Consequently, in the data-centric approach, the query is modeled by extracting features from the query result set, such as the number of tuples and the minimum, maximum and average values of attributes. Both approaches assume a mapping among users, queries, and query results. This is not the case with most Web-based applications which authenticate to databases with a different application user.

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