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A Distributed Network Logging Topology - Nicholas Eli Fritts

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      Avis sur A Distributed Network Logging Topology de Nicholas Eli Fritts Format Broché  - Livre Science humaines et sociales, Lettres

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      Présentation A Distributed Network Logging Topology de Nicholas Eli Fritts Format Broché

       - Livre Science humaines et sociales, Lettres

      Livre Science humaines et sociales, Lettres - Nicholas Eli Fritts - 01/09/2012 - Broché - Langue : Anglais

      . .

    • Auteur(s) : Nicholas Eli Fritts
    • Editeur : Creative Media Partners, Llc
    • Langue : Anglais
    • Parution : 01/09/2012
    • Format : Moyen, de 350g à 1kg
    • Nombre de pages : 70.0
    • Expédition : 145
    • Dimensions : 24.6 x 18.9 x 0.4
    • ISBN : 1249449618



    • Résumé :

      Network logging is used to monitor computer systems for potential problems and threats by network administrators. Research has found that the more logging enabled, the more potential threats can be detected in the logs. However, generally it is considered too costly to dedicate the manpower required to analyze the amount of logging data that it is possible to generate. Current research is working on different correlation and parsing techniques to help filter the data, but these methods function by having all of the data dumped in to a central repository. Central repositories are limited in the amount of data they are able to receive without losing some of the data. In large networks, the data limit is a problem, and industry standard syslog protocols could potentially lose data without being aware of the loss, potentially handicapping network administrators in their ability to analyze network problems and discover security risks. This research provides a scalable, accessible and fault-tolerant logging infrastructure that resolves the centralized server bottleneck and data loss problem while still maintaining a searchable and efficient storage system.

      This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.

      This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.

      As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.

      ...

      Sommaire:

      Network logging is used to monitor computer systems for potential problems and threats by network administrators. Research has found that the more logging enabled, the more potential threats can be detected in the logs. However, generally it is considered too costly to dedicate the manpower required to analyze the amount of logging data that it is possible to generate. Current research is working on different correlation and parsing techniques to help filter the data, but these methods function by having all of the data dumped in to a central repository. Central repositories are limited in the amount of data they are able to receive without losing some of the data. In large networks, the data limit is a problem, and industry standard syslog protocols could potentially lose data without being aware of the loss, potentially handicapping network administrators in their ability to analyze network problems and discover security risks. This research provides a scalable, accessible and fault-tolerant logging infrastructure that resolves the centralized server bottleneck and data loss problem while still maintaining a searchable and efficient storage system.

      This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.

      This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.

      As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.

      ...

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