Efficient Generation of Social Network Data from Computer-Mediated Communication Logs

Name: Efficient Generation of Social Network Data from Computer-Mediated Communication Logs
Brand: Biblioscholar
SKU: 9781288369829
Price: 369 CZK
Availability: InStock

Autor: Jason W Sung Yee

Jazyk:

Vazba: Brožovaná

Vydavatel: Biblioscholar

Dostupnost: Skladem u dodavatele

Odesíláme za 14-21 dnů

369 Kč

The insider threat poses a significant risk to any network or information system. A general definiti...

Informace o knize

Autor

Jason W Sung Yee

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2012

Stránek

EAN

9781288369829

ISBN

9781288369829

Enbook ID

08247145

Vydavatel

Biblioscholar

Hmotnost

172

Rozměry

189 x 246 x 5

Kompletní popis

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

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