Data Leakage Detection in Relational Database - 8 Angebote vergleichen
Preise | 2013 | 2014 | 2015 | 2017 | 2019 |
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Schnitt | Fr. 33.82 (€ 34.58)¹ | Fr. 34.98 (€ 35.77)¹ | Fr. 41.91 (€ 42.86)¹ | Fr. 38.90 (€ 39.78)¹ | Fr. 38.11 (€ 38.98)¹ |
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Data Leakage Detection in Relational Database
DE PB NW
ISBN: 9783659417511 bzw. 3659417513, in Deutsch, LAP Lambert Academic Publishing, Taschenbuch, neu.
Von Händler/Antiquariat, BuySomeBooks [52360437], Las Vegas, NV, U.S.A.
Paperback. 68 pages. Dimensions: 8.7in. x 5.9in. x 0.2in.In modern business process sometime sensitive data is distributed to set of supposedly trusted agents (third parties) by the owner of data. If in case distributed data where found at unauthorized place (e. g. on the website or somebodys laptop) then the owner must be able to assess the likelihood that the leaked data come from one or more agents or not. Organizations mainly apply data or information security only in terms of network protection from intruders and hackers, but due to globalization and digitization there is rapid growth in the amount of sensitive data processing applications. In the organizations these data can be accessed from different medium which increases the chances of data leakage and trouble in guilt assessment. Data allocation strategy includes fake records in the distribution set along with sensitive data, it acts as watermark to identify the corresponding owner. If such sensitive information is leaked then with the help of fake records and distribution logic involvement of agent in the leakage can be traced. Suitable data allocation strategy improves the probability of guilt detection and this reduces the catastrophic effect of data leakage. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN.
Paperback. 68 pages. Dimensions: 8.7in. x 5.9in. x 0.2in.In modern business process sometime sensitive data is distributed to set of supposedly trusted agents (third parties) by the owner of data. If in case distributed data where found at unauthorized place (e. g. on the website or somebodys laptop) then the owner must be able to assess the likelihood that the leaked data come from one or more agents or not. Organizations mainly apply data or information security only in terms of network protection from intruders and hackers, but due to globalization and digitization there is rapid growth in the amount of sensitive data processing applications. In the organizations these data can be accessed from different medium which increases the chances of data leakage and trouble in guilt assessment. Data allocation strategy includes fake records in the distribution set along with sensitive data, it acts as watermark to identify the corresponding owner. If such sensitive information is leaked then with the help of fake records and distribution logic involvement of agent in the leakage can be traced. Suitable data allocation strategy improves the probability of guilt detection and this reduces the catastrophic effect of data leakage. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN.
2
Data Leakage Detection in Relational Database (2013)
DE PB NW
ISBN: 9783659417511 bzw. 3659417513, in Deutsch, LAP Lambert Academic Publishing, Taschenbuch, neu.
Lieferung aus: Schweiz, Versandfertig innert 6 - 9 Tagen.
Information Security, In modern business process sometime sensitive data is distributed to set of supposedly trusted agents (third parties) by the owner of data. If in case distributed data where found at unauthorized place (e.g. on the website or somebody´s laptop) then the owner must be able to assess the likelihood that the leaked data come from one or more agents or not. Organizations mainly apply data or information security only in terms of network protection from intruders and hackers, but due to globalization and digitization there is rapid growth in the amount of sensitive data processing applications. In the organizations these data can be accessed from different medium which increases the chances of data leakage and trouble in guilt assessment. Data allocation strategy includes fake records in the distribution set along with sensitive data, it acts as watermark to identify the corresponding owner. If such sensitive information is leaked then with the help of fake records and distribution logic involvement of agent in the leakage can be traced. Suitable data allocation strategy improve´s the probability of guilt detection and this reduces the catastrophic effect of data leakage. Taschenbuch, 07.11.2013.
Information Security, In modern business process sometime sensitive data is distributed to set of supposedly trusted agents (third parties) by the owner of data. If in case distributed data where found at unauthorized place (e.g. on the website or somebody´s laptop) then the owner must be able to assess the likelihood that the leaked data come from one or more agents or not. Organizations mainly apply data or information security only in terms of network protection from intruders and hackers, but due to globalization and digitization there is rapid growth in the amount of sensitive data processing applications. In the organizations these data can be accessed from different medium which increases the chances of data leakage and trouble in guilt assessment. Data allocation strategy includes fake records in the distribution set along with sensitive data, it acts as watermark to identify the corresponding owner. If such sensitive information is leaked then with the help of fake records and distribution logic involvement of agent in the leakage can be traced. Suitable data allocation strategy improve´s the probability of guilt detection and this reduces the catastrophic effect of data leakage. Taschenbuch, 07.11.2013.
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Data Leakage Detection in Relational Database
~EN NW AB
ISBN: 9783659417511 bzw. 3659417513, vermutlich in Englisch, neu, Hörbuch.
Lieferung aus: Schweiz, Lieferzeit: 2 Tage, zzgl. Versandkosten.
In modern business process sometime sensitive data is distributed to set of supposedly trusted agents (third parties) by the owner of data. If in case distributed data where found at unauthorized place (e.g. on the website or somebody's laptop) then the owner must be able to assess the likelihood that the leaked data come from one or more agents or not. Organizations mainly apply data or information security only in terms of network protection from intruders and hackers, but due to globalization and digitization there is rapid growth in the amount of sensitive data processing applications. In the organizations these data can be accessed from different medium which increases the chances of data leakage and trouble in guilt assessment. Data allocation strategy includes fake records in the distribution set along with sensitive data, it acts as watermark to identify the corresponding owner. If such sensitive information is leaked then with the help of fake records and distribution logic involvement of agent in the leakage can be traced. Suitable data allocation strategy improve's the probability of guilt detection and this reduces the catastrophic effect of data leakage.
In modern business process sometime sensitive data is distributed to set of supposedly trusted agents (third parties) by the owner of data. If in case distributed data where found at unauthorized place (e.g. on the website or somebody's laptop) then the owner must be able to assess the likelihood that the leaked data come from one or more agents or not. Organizations mainly apply data or information security only in terms of network protection from intruders and hackers, but due to globalization and digitization there is rapid growth in the amount of sensitive data processing applications. In the organizations these data can be accessed from different medium which increases the chances of data leakage and trouble in guilt assessment. Data allocation strategy includes fake records in the distribution set along with sensitive data, it acts as watermark to identify the corresponding owner. If such sensitive information is leaked then with the help of fake records and distribution logic involvement of agent in the leakage can be traced. Suitable data allocation strategy improve's the probability of guilt detection and this reduces the catastrophic effect of data leakage.
4
Data Leakage Detection in Relational Database
~EN PB NW
ISBN: 9783659417511 bzw. 3659417513, vermutlich in Englisch, LAP LAMBERT Academic Publishing, Taschenbuch, neu.
Lieferung aus: Schweiz, Versandfertig innert 4 - 7 Werktagen.
Information Security, In modern business process sometime sensitive data is distributed to set of supposedly trusted agents (third parties) by the owner of data. If in case distributed data where found at unauthorized place (e.g. on the website or somebody´s laptop) then the owner must be able to assess the likelihood that the leaked data come from one or more agents or not. Organizations mainly apply data or information security only in terms of network protection from intruders and hackers, but due to globalization and digitization there is rapid growth in the amount of sensitive data processing applications. In the organizations these data can be accessed from different medium which increases the chances of data leakage and trouble in guilt assessment. Data allocation strategy includes fake records in the distribution set along with sensitive data, it acts as watermark to identify the corresponding owner. If such sensitive information is leaked then with the help of fake records and distribution logic involvement of agent in the leakage can be traced. Suitable data allocation strategy improve´s the probability of guilt detection and this reduces the catastrophic effect of data leakage. Taschenbuch.
Information Security, In modern business process sometime sensitive data is distributed to set of supposedly trusted agents (third parties) by the owner of data. If in case distributed data where found at unauthorized place (e.g. on the website or somebody´s laptop) then the owner must be able to assess the likelihood that the leaked data come from one or more agents or not. Organizations mainly apply data or information security only in terms of network protection from intruders and hackers, but due to globalization and digitization there is rapid growth in the amount of sensitive data processing applications. In the organizations these data can be accessed from different medium which increases the chances of data leakage and trouble in guilt assessment. Data allocation strategy includes fake records in the distribution set along with sensitive data, it acts as watermark to identify the corresponding owner. If such sensitive information is leaked then with the help of fake records and distribution logic involvement of agent in the leakage can be traced. Suitable data allocation strategy improve´s the probability of guilt detection and this reduces the catastrophic effect of data leakage. Taschenbuch.
5
Data Leakage Detection in Relational Database
~EN PB NW
ISBN: 9783659417511 bzw. 3659417513, vermutlich in Englisch, LAP LAMBERT Academic Publishing, Taschenbuch, neu.
Lieferung aus: Deutschland, Lieferbar in 2 - 3 Tage.
Information Security In modern business process sometime sensitive data is distributed to set of supposedly trusted agents (third parties) by the owner of data. If in case distributed data where found at unauthorized place (e.g. on the website or somebody´s laptop) then the owner must be able to assess the likelihood that the leaked data come from one or more agents or not. Organizations mainly apply data or information security only in terms of network protection from intruders and hackers, but due to globalization and digitization there is rapid growth in the amount of sensitive data processing applications. In the organizations these data can be accessed from different medium which increases the chances of data leakage and trouble in guilt assessment. Data allocation strategy includes fake records in the distribution set along with sensitive data, it acts as watermark to identify the corresponding owner. If such sensitive information is leaked then with the help of fake records and distribution logic involvement of agent in the leakage can be traced. Suitable data allocation strategy improve´s the probability of guilt detection and this reduces the catastrophic effect of data leakage. Taschenbuch.
Information Security In modern business process sometime sensitive data is distributed to set of supposedly trusted agents (third parties) by the owner of data. If in case distributed data where found at unauthorized place (e.g. on the website or somebody´s laptop) then the owner must be able to assess the likelihood that the leaked data come from one or more agents or not. Organizations mainly apply data or information security only in terms of network protection from intruders and hackers, but due to globalization and digitization there is rapid growth in the amount of sensitive data processing applications. In the organizations these data can be accessed from different medium which increases the chances of data leakage and trouble in guilt assessment. Data allocation strategy includes fake records in the distribution set along with sensitive data, it acts as watermark to identify the corresponding owner. If such sensitive information is leaked then with the help of fake records and distribution logic involvement of agent in the leakage can be traced. Suitable data allocation strategy improve´s the probability of guilt detection and this reduces the catastrophic effect of data leakage. Taschenbuch.
6
Data Leakage Detection in Relational Database - Information Security
~EN PB NW
ISBN: 9783659417511 bzw. 3659417513, vermutlich in Englisch, LAP Lambert Academic Publishing, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
Data Leakage Detection in Relational Database: In modern business process sometime sensitive data is distributed to set of supposedly trusted agents (third parties) by the owner of data. If in case distributed data where found at unauthorized place (e.g. on the website or somebody`s laptop) then the owner must be able to assess the likelihood that the leaked data come from one or more agents or not. Organizations mainly apply data or information security only in terms of network protection from intruders and hackers, but due to globalization and digitization there is rapid growth in the amount of sensitive data processing applications. In the organizations these data can be accessed from different medium which increases the chances of data leakage and trouble in guilt assessment. Data allocation strategy includes fake records in the distribution set along with sensitive data, it acts as watermark to identify the corresponding owner. If such sensitive information is leaked then with the help of fake records and distribution logic involvement of agent in the leakage can be traced. Suitable data allocation strategy improve`s the probability of guilt detection and this reduces the catastrophic effect of data leakage. Englisch, Taschenbuch.
Data Leakage Detection in Relational Database: In modern business process sometime sensitive data is distributed to set of supposedly trusted agents (third parties) by the owner of data. If in case distributed data where found at unauthorized place (e.g. on the website or somebody`s laptop) then the owner must be able to assess the likelihood that the leaked data come from one or more agents or not. Organizations mainly apply data or information security only in terms of network protection from intruders and hackers, but due to globalization and digitization there is rapid growth in the amount of sensitive data processing applications. In the organizations these data can be accessed from different medium which increases the chances of data leakage and trouble in guilt assessment. Data allocation strategy includes fake records in the distribution set along with sensitive data, it acts as watermark to identify the corresponding owner. If such sensitive information is leaked then with the help of fake records and distribution logic involvement of agent in the leakage can be traced. Suitable data allocation strategy improve`s the probability of guilt detection and this reduces the catastrophic effect of data leakage. Englisch, Taschenbuch.
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Data Leakage Detection in Relational Database
~EN PB NW
ISBN: 9783659417511 bzw. 3659417513, vermutlich in Englisch, Taschenbuch, neu.
Lieferung aus: Deutschland, Next Day, Versandkostenfrei.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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