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Erschienen in:
Towards Fundamental Science of Cyber Security Kapitel lesen Erstes Kapitel lesen

2014 | OriginalPaper | Buchkapitel

Machine Learning Applied to Cyber Operations

verfasst von : Misty Blowers, Jonathan Williams

Erschienen in: Network Science and Cybersecurity

Verlag: Springer New York

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Abstract

Cyber attacks have evolved from operational to strategic events, with the aim to disrupt and influence strategic capability and assets, impede business operations, and target physical assets and mission critical information. With this emerging sophistication, current Intrusion Detection Systems (IDS) are also constantly evolving. As new viruses have emerged, the technologies used to detect them have also become more complex relying on sophisticated heuristics. Hosts and networks are constantly evolving with both security upgrades and topology changes. In addition, at most critical points of vulnerability, there are often vigilant humans in the loop.

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Vorheriges Kapitel Hardware-Based Computational Intelligence for Size, Weight, and Power Constrained Environments
Nächstes Kapitel Detecting Kernel Control-Flow Modifying Rootkits
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Metadaten
Titel
Machine Learning Applied to Cyber Operations
verfasst von
Misty Blowers
Jonathan Williams
Copyright-Jahr
2014
Verlag
Springer New York
Buch
Network Science and Cybersecurity

Print ISBN: 978-1-4614-7596-5

Electronic ISBN: 978-1-4614-7597-2

Copyright-Jahr: 2014

DOI
https://doi.org/10.1007/978-1-4614-7597-2_10