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The Useful Role of Bias and Ambiguit...

Batchelor, Michael F.

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The Useful Role of Bias and Ambiguity in Intelligence Analysis and Cybersecurity Attribution.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	The Useful Role of Bias and Ambiguity in Intelligence Analysis and Cybersecurity Attribution./
作者:	Batchelor, Michael F.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2017,
面頁冊數:	87 p.
附註:	Source: Masters Abstracts International, Volume: 78-11.
Contained By:	Masters Abstracts International78-11.
標題:	Information Technology. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10275795
ISBN:	9781369738384

The Useful Role of Bias and Ambiguity in Intelligence Analysis and Cybersecurity Attribution.
Batchelor, Michael F.

The Useful Role of Bias and Ambiguity in Intelligence Analysis and Cybersecurity Attribution. - Ann Arbor : ProQuest Dissertations & Theses, 2017 - 87 p.

Source: Masters Abstracts International, Volume: 78-11.

Thesis (M.S.)--Utica College, 2017.

This item must not be sold to any third party vendors.

Attributing crime in the cybersecurity domain is much more an art than its binary origin would suggest. The process, intertwined in intelligence analysis and forensic computer science, carries the usual psychological footprints implicit in human endeavors. This study draws conclusions from the review of empirical and theoretical works addressing these constructs. This paper argues that the complexities of bias and ambiguity be analyzed and employed as tools to better facilitate analytical and heuristic judgment, leading in turn to better intelligence analysis and cybersecurity attribution. This study finds that benefits drawn from the free-range bias of experts operating in a world of ambiguity, outweighs any benefits drawn from futile attempts to objectify the subjective mind. This paper arrives at recommendations for more productive recruitment of intelligence and cybersecurity professionals as well as the honing of skills within organizations through strategic war games.

ISBN: 9781369738384Subjects--Topical Terms:

1030799
Information Technology.
Subjects--Index Terms:

Ambiguity

The Useful Role of Bias and Ambiguity in Intelligence Analysis and Cybersecurity Attribution.
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