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35324.pdf (261.42 KB)
ETD Abstract Container
Abstract Header
Cognitive Malice Representation and Identification
Author Info
Musgrave, John
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1565348664149804
Abstract Details
Year and Degree
2019, MS, University of Cincinnati, Engineering and Applied Science: Computer Science.
Abstract
Malice may be defined as intentional harm. In the context of a computing system, malice takes the form of various types of malware and the question is then how to design and implement a cognitive system which can understand it. This must begin with a definition of malice representation and cognitive models for capturing system security. Two components must be present in a cognitive security system, the current state of the system, and a model that captures the current actor’s behavior. This study outlines behavioral models of malice classification based upon execution traces.
Committee
Anca Ralescu, Ph.D. (Committee Chair)
Rashmi Jha, Ph.D. (Committee Member)
David Kapp, PhD (Committee Member)
Temesguen Messay Kebede, Ph.D. (Committee Member)
Pages
28 p.
Subject Headings
Artificial Intelligence
Keywords
AI
;
Security
;
Malware Analysis
;
Cognitive Architectures
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Citations
Musgrave, J. (2019).
Cognitive Malice Representation and Identification
[Master's thesis, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1565348664149804
APA Style (7th edition)
Musgrave, John.
Cognitive Malice Representation and Identification.
2019. University of Cincinnati, Master's thesis.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1565348664149804.
MLA Style (8th edition)
Musgrave, John. "Cognitive Malice Representation and Identification." Master's thesis, University of Cincinnati, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1565348664149804
Chicago Manual of Style (17th edition)
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Document number:
ucin1565348664149804
Download Count:
158
Copyright Info
© 2019, all rights reserved.
This open access ETD is published by University of Cincinnati and OhioLINK.