Network Security

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 functional 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 more than a few content material from expert to educational. Briefs enable authors to give their rules and readers to take in them with minimum time funding. As a part of Springer’s e-book assortment, SpringBriefs are released to hundreds of thousands of clients around the globe. Information/Data Leakage poses a significant chance to businesses and companies, because the variety of leakage incidents and the associated fee they inflict maintains to extend. no matter if as a result of malicious rationale, or an inadvertent mistake, facts loss can minimize a company’s model, lessen shareholder worth, and harm the company’s goodwill and recognition. This booklet goals to supply a structural and accomplished evaluate of the sensible ideas and present study within the DLP area. this is often the 1st finished booklet that's devoted fullyyt to the sphere of information leakage and covers all vital demanding situations and methods to mitigate them. Its informative, actual pages will offer researchers, scholars and practitioners within the with a entire, but concise and handy reference resource to this interesting box. we have now grouped latest ideas into varied different types in line with a defined taxonomy. The awarded taxonomy characterizes DLP strategies in response to a number of features equivalent to: leakage resource, information kingdom, leakage channel, deployment scheme, preventive/detective ways, and the motion upon leakage. within the advertisement half we overview suggestions of the major DLP industry gamers in keeping with expert examine studies and fabric got from the internet sites of the owners. within the educational half we cluster the educational paintings based on the character of the leakage and defense into quite a few different types. ultimately, we describe major info leakage situations and current for every situation the main correct and appropriate answer or technique that might mitigate and decrease the possibility and/or impression of the leakage scenario.

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While being stored in a device, the sensitive data are encrypted using a devicespecific key, denoted as KC. KC is stored in a protected storage area. Before data are transferred, they are decrypted using KC and re-encrypted using KD. 32 4 Data Leakage Detection/Prevention Solutions This framework prevents unprotected data from being transferred using the Web or mass data storage (assumed to be prevented by the trusted software agent). It also prevents access to sensitive data on unauthorized devices.

However, a skilled hacker might craft a special malware instance capable of evading such detection (for example, by altering the data to make them appear not to be sensitive). Encryption of data offers reasonable protection because even if an attacker has gained access to the data, they are still protected. Hacking can be detected by deploying honeypots in addition to other general security solutions such as antivirus and firewalls. , checking a Word document’s metadata which are managed by MS Office).

What additional data can be inferred or calculated from the data presented to the user); (2) the data that are restricted or highly sensitive; and (3) the people within the organization who are permitted to access these data. These graphs are used to predict the ability of a user to infer sensitive information that might harm the organization using information that she has already obtained. The derived knowledge is categorized into three types: inferred, computed, and aggregated. The database object (to which the insider may or may not have access), the basic knowledge, and the derived knowledge are modeled as a neural dependency and inference graph (NDIG) which was inspired by the concept of an artificial neural network.

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