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Synopsis
The insider threat poses a significant risk to any network or information system. A general definition of the insider threat is an authorized user performing unauthorized actions, a broad definition with no specifications on severity or action. While limited research has been able to classify and detect insider threats, it is generally understood that insider attacks are planned, and that there is a time period in which the organization's leadership can intervene and prevent the attack. Previous studies have shown that the person's behavior will generally change, and it is possible that social network analysis could be used to observe those changes. Unfortunately, generation of social network data can be a time consuming and manually intensive process. This research discusses the automatic generation of such data from computer mediated communication records. Using the tools developed in this research, raw social network data can be gathered from communication logs quickly and cheaply. Ideas on further analysis of this data for insider threat mitigation are then presented.
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Efficient Generation of Social Network Data From Computer-Mediated Communication Logs (Paperback or Softback)
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Efficient Generation of Social Network Data from Computer-Mediated Communication Logs
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Efficient Generation of Social Network Data From Computer-Mediated Communication Logs
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Taschenbuch. Condition: Neu. Neuware - The insider threat poses a significant risk to any network or information system. A general definition of the insider threat is an authorized user performing unauthorized actions, a broad definition with no specifications on severity or action. While limited research has been able to classify and detect insider threats, it is generally understood that insider attacks are planned, and that there is a time period in which the organization's leadership can intervene and prevent the attack. Previous studies have shown that the person's behavior will generally change, and it is possible that social network analysis could be used to observe those changes. Unfortunately, generation of social network data can be a time consuming and manually intensive process. This research discusses the automatic generation of such data from computer mediated communication records. Using the tools developed in this research, raw social network data can be gathered from communication logs quickly and cheaply. Ideas on further analysis of this data for insider threat mitigation are then presented.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. Seller Inventory # 9781288369829