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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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- EditoreLIGHTNING SOURCE INC
- Data di pubblicazione2012
- ISBN 10 1288369824
- ISBN 13 9781288369829
- RilegaturaCopertina flessibile
- LinguaInglese
- Numero di pagine88
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Condizione: New. KlappentextrnrnThe 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 sever. Codice articolo 6558460
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Efficient Generation of Social Network Data from Computer-Mediated Communication Logs
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Creative Media Partners, LLC Nov 2012, 2012
ISBN 10: 1288369824
ISBN 13: 9781288369829
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Taschenbuch. Condizione: 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. Codice articolo 9781288369829
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Efficient Generation of Social Network Data from Computer-Mediated Communication Logs
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