國立虎尾科技大學 |

Graph-based Event Correlation for Network Security Defense.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Graph-based Event Correlation for Network Security Defense./
作者:	Neise, Patrick.
面頁冊數:	1 online resource (96 pages)
附註:	Source: Dissertation Abstracts International, Volume: 79-08(E), Section: A.
Contained By:	Dissertation Abstracts International79-08A(E).
標題:	Management. -
電子資源:	click for full text (PQDT)
ISBN:	9780355826203

Graph-based Event Correlation for Network Security Defense.
Neise, Patrick.

Graph-based Event Correlation for Network Security Defense. - 1 online resource (96 pages)

Source: Dissertation Abstracts International, Volume: 79-08(E), Section: A.

Thesis (D.Engr.)--The George Washington University, 2018.

Includes bibliographical references

Organizations of all types and their computer networks are constantly under threat of attack. While the overall detection time of these attacks is getting shorter, the average detection time of weeks to months allows the attacker ample time to potentially cause damage to the organization. Current detection methods are primarily signature based and typically rely on analyzing the available data sources in isolation. Any analysis of how the individual data sources relate to each other is usually a manual process, and will most likely occur as a forensic endeavor after the attack identification occurs via other means. The use of graph theory and the graph databases built to support its application can provide a repeatable and automated analysis of the data sources and their relationships. By aggregating the individual data sources into a graph database based on a model that supports the data types and relationships, database queries can extract information relevant to the detection of attack behavior within the network. The work in this Praxis shows how the graph model and database queries will reduce the overall time to detection of a successful attack by enabling defenders to understand better how the data elements and what they represent are related.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355826203Subjects--Topical Terms:

558618
Management.
Index Terms--Genre/Form:

554714
Electronic books.

Graph-based Event Correlation for Network Security Defense.
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500 $a Adviser: Thomas F. Bersson.
502 $a Thesis (D.Engr.)--The George Washington University, 2018.
504 $a Includes bibliographical references
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538 $a Mode of access: World Wide Web
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