Publication:
Secure Data Science : Integrating Cyber Security and Data Science
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Abstract
Secure data science, which integrates cyber security and data science, is becoming one of the critical areas in both cyber security and data science. This is because the novel data science techniques being developed have applications in solving such cyber security problems as intrusion detection, malware analysis, and insider threat detection. However, the data science techniques being applied not only for cyber security but also for every application area—including healthcare, finance, manufacturing, and marketing—could be attacked by malware. Furthermore, due to the power of data science, it is now possible to infer highly private and sensitive information from public data, which could result in the violation of individual privacy.
Description
Authors
Thuraisingham, Bhavani
Kantarcioglu, Murat
Khan, Latifur
Alternate Authors
Advisor
Place of publication
Publisher
CRC Press
Date
2022
Journal ISSN
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Keywords
Computer security , Data mining , Software Development & Engineering , Systems Analysis & Design , Computer Science , Information Technology , Machine Theory , Data Modeling & Design
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