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Applying image processing techniques to security data: towards cyber target recognition
Author(s): Jeremy Straub
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Paper Abstract

Numerous image processing techniques have been applied to the challenge of physical environment target recognition. These techniques match patterns to all or part of an object to identify objects of particular interest to the system. This paper considers the application of these commonly used image processing techniques to the field of cybersecurity and, in particular, cyber target recognition. It discusses the different types of data that a cyber system can use for assessment. Then, multiple types of image processing-based pattern and target recognition algorithms are presented and their applicability to the cyber target recognition challenge is discussed. The efficacy of each is evaluated and conclusions regarding which techniques are the most promising for the cyber target recognition challenge, in general, are presented. The paper then moves on to discuss the applications of a cyber target recognition system. The efficacy of each previous technique is further assessed in the context of each of these case studies. Techniques are identified as being suitable (or not) for each application and their comparative benefits are assessed. Finally, focus turns to hybrid systems that may require both physical world and cyberspace target recognition capabilities. The benefits of maintaining target association across the cyber-physical divide are discussed. The efficacy of using a single system in multiple modes, for this purpose, is considered and several candidate systems, from those previously evaluated, are identified. The paper concludes with a discussion of the need for cyber target recognition for future systems and prospective future work to advance the technology.

Paper Details

Date Published: 14 May 2019
PDF
Proc. SPIE 10988, Automatic Target Recognition XXIX, 1098812 (14 May 2019); doi: 10.1117/12.2521113
Show Author Affiliations
Jeremy Straub, North Dakota State Univ. (United States)


Published in SPIE Proceedings Vol. 10988:
Automatic Target Recognition XXIX
Riad I. Hammoud; Timothy L. Overman, Editor(s)

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