Cybersecurity Data Science by Scott Mongeau & Andrzej Hajdasinski

Author:Scott Mongeau & Andrzej Hajdasinski
Language: eng
Format: epub
ISBN: 9783030748968
Publisher: Springer International Publishing

(b)

Mapping and modeling environmental security context

(c)

Systematic evidence gathering, framing, and labeling

(d)

Disassociating normal versus abnormal phenomenon

(e)

Risk quantification

(f)

Data and model validation

(g)

Linking distinct exploratory and predictive methods

3.

Technology: Although explicit technology topics were raised in interview feedback (i.e., cloud, honeypots, endpoint detection, SIEMs, data engineering, unsupervised vs. supervised ML), it was notable that their direct appearance was muted in surfaced gap-prescription themes. This does not imply technology is unimportant to CSDS best practices but rather that practitioners seemed to indicate that technology is an enabler and that organizational framing and process alignment goals take precedence. This suggests technological solutions are viewed as the outcome of organizational direction and process goals, rather than a primary driver. Given the preponderance of engineering-driven approaches in the broader security field, the muted focus on technology was both surprising and laudable.

Download

Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.