Use of network analysis techniques for data loss prevention (Q10660): Difference between revisions

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(‎Removed claim: EU contribution (P835): 9,899.9948 euro)
Property / EU contribution
9,899.9948 Euro
Amount9,899.9948 Euro
UnitEuro
 
Property / EU contribution: 9,899.9948 Euro / rank
Preferred rank
 
Property / EU contribution: 9,899.9948 Euro / qualifier
exchange rate to Euro: 0.04 Euro
Amount0.04 Euro
UnitEuro
 
Property / EU contribution: 9,899.9948 Euro / qualifier
point in time: 10 January 2020
Timestamp+2020-01-10T00:00:00Z
Timezone+00:00
CalendarGregorian
Precision1 day
Before0
After0
 

Revision as of 07:42, 22 September 2020

Project in Czech Republic financed by DG Regio
Language Label Description Also known as
English
Use of network analysis techniques for data loss prevention
Project in Czech Republic financed by DG Regio

    Statements

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    247,499.87 Czech koruna
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    329,999.83 Czech koruna
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    13,199.9932 Euro
    10 January 2020
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    75.0 percent
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    28 April 2017
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    30 November 2017
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    1 December 2017
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    Safetica Services s.r.o.
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    50°5'7.19"N, 14°27'56.48"E
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    13000
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    Technologie analýzy síťového toku je v dnešní době velmi rozvinutá a slouží primárně k externí bezpečnosti - odhalování malware, botnetů či útoků hackerů. Tyto postupy jsou často založeny na pokročilých statistických modelech. Postupy zaměřené na prevenci ztráty dat pracují nepracují nad záznamy o síti, ale o práci a pohybu souborů ve firmě. Cílem je ověřit, zda nelze upravit techniky síťové analýzy tak, aby odhalovany nestandardní práci s daty a identifikovali tak datová bezpečnostní rizika. a. (Czech)
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    The network flow analysis technologies are now highly developed and primarily serve the purpose of external security — the detection of malware, botnets or hacking. These procedures are often based on advanced statistical models. The procedures to prevent the loss of data work do not work over the network records, but the work and movement of files at the firm. The objective is to verify that network analysis techniques cannot be modified to detect non-standard work with data and identify data security risks. (English)
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    Identifiers

    CZ.01.1.02/0.0/0.0/16_045/0009614
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