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Ajouter au panierTaschenbuch. Etat : Neu. Neuware.
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Ajouter au panierBuch. Etat : Neu. Neuware - The Air Force has multiple initiatives to develop data repositories for high-speed network intrusion detection systems (IDS). All of the developed systems utilize a relational database management system (RDBMS) as the primary data storage mechanism. The purpose of this thesis is to replace the RDBMS in one such system developed by AFRL, the Automated Intrusion Detection Environment (AIDE), with a distributed object-oriented database management system (DOODBMS) and observe a number of areas: its performance against the RDBMS in terms of IDS event insertion and retrieval, the distributed aspects of the new system, and the resulting object-oriented architecture. The resulting system, the Object-Oriented Automated Intrusion Detection Environment (OOAIDE), is designed, built, and tested using the DOODBMS Objectivity/DB. Initial tests indicate that the new system is remarkably faster than the original system in terms of event insertion. Object retrievals are also faster when more than one association is used in the query. The database is then replicated and distributed across a simple heterogeneous network with preliminary tests indicating no loss of performance. A standardized object model is also presented that can accommodate any IDS data repository built around a DOODBMS architecture.
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Ajouter au panierEtat : New. KlappentextrnrnThe Air Force has multiple initiatives to develop data repositories for high-speed network intrusion detection systems (IDS). All of the developed systems utilize a relational database management system (RDBMS) as the primary data.
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Ajouter au panierTaschenbuch. Etat : Neu. Neuware - The Air Force has multiple initiatives to develop data repositories for high-speed network intrusion detection systems (IDS). All of the developed systems utilize a relational database management system (RDBMS) as the primary data storage mechanism. The purpose of this thesis is to replace the RDBMS in one such system developed by AFRL, the Automated Intrusion Detection Environment (AIDE), with a distributed object-oriented database management system (DOODBMS) and observe a number of areas: its performance against the RDBMS in terms of IDS event insertion and retrieval, the distributed aspects of the new system, and the resulting object-oriented architecture. The resulting system, the Object-Oriented Automated Intrusion Detection Environment (OOAIDE), is designed, built, and tested using the DOODBMS Objectivity/DB. Initial tests indicate that the new system is remarkably faster than the original system in terms of event insertion. Object retrievals are also faster when more than one association is used in the query. The database is then replicated and distributed across a simple heterogeneous network with preliminary tests indicating no loss of performance. A standardized object model is also presented that can accommodate any IDS data repository built around a DOODBMS architecture.
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Ajouter au panierPaperback. Etat : new. Paperback. The Air Force has multiple initiatives to develop data repositories for high-speed network intrusion detection systems (IDS). All of the developed systems utilize a relational database management system (RDBMS) as the primary data storage mechanism. The purpose of this thesis is to replace the RDBMS in one such system developed by AFRL, the Automated Intrusion Detection Environment (AIDE), with a distributed object-oriented database management system (DOODBMS) and observe a number of areas: its performance against the RDBMS in terms of IDS event insertion and retrieval, the distributed aspects of the new system, and the resulting object-oriented architecture. The resulting system, the Object-Oriented Automated Intrusion Detection Environment (OOAIDE), is designed, built, and tested using the DOODBMS Objectivity/DB. Initial tests indicate that the new system is remarkably faster than the original system in terms of event insertion. Object retrievals are also faster when more than one association is used in the query. The database is then replicated and distributed across a simple heterogeneous network with preliminary tests indicating no loss of performance. A standardized object model is also presented that can accommodate any IDS data repository built around a DOODBMS architecture.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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Ajouter au panierHardcover. Etat : new. Hardcover. The Air Force has multiple initiatives to develop data repositories for high-speed network intrusion detection systems (IDS). All of the developed systems utilize a relational database management system (RDBMS) as the primary data storage mechanism. The purpose of this thesis is to replace the RDBMS in one such system developed by AFRL, the Automated Intrusion Detection Environment (AIDE), with a distributed object-oriented database management system (DOODBMS) and observe a number of areas: its performance against the RDBMS in terms of IDS event insertion and retrieval, the distributed aspects of the new system, and the resulting object-oriented architecture. The resulting system, the Object-Oriented Automated Intrusion Detection Environment (OOAIDE), is designed, built, and tested using the DOODBMS Objectivity/DB. Initial tests indicate that the new system is remarkably faster than the original system in terms of event insertion. Object retrievals are also faster when more than one association is used in the query. The database is then replicated and distributed across a simple heterogeneous network with preliminary tests indicating no loss of performance. A standardized object model is also presented that can accommodate any IDS data repository built around a DOODBMS architecture.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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Ajouter au panierEtat : New. PRINT ON DEMAND pp. 164.