Erschienen: 06.02.2020 Abbildung von Sikos / Choo | Data Science in Cybersecurity and Cyberthreat Intelligence | 1st ed. 2020 | 2020 | 177

Sikos / Choo

Data Science in Cybersecurity and Cyberthreat Intelligence

lieferbar ca. 10 Tage als Sonderdruck ohne Rückgaberecht

auch verfügbar als eBook (PDF) für 149.79 €

Buch. Hardcover

1st ed. 2020. 2020

xii, 129 S. 20 s/w-Abbildungen, 25 Farbabbildungen, 100 Farbtabellen, Bibliographien

In englischer Sprache

Springer. ISBN 978-3-030-38787-7

Format (B x L): 15,5 x 23,5 cm

Gewicht: 389 g

Produktbeschreibung

This book presents a collection of state-of-the-art approaches to utilizing machine learning, formal knowledge bases and rule sets, and semantic reasoning to detect attacks on communication networks, including IoT infrastructures, to automate malicious code detection, to efficiently predict cyberattacks in enterprises, to identify malicious URLs and DGA-generated domain names, and to improve the security of mHealth wearables. This book details how analyzing the likelihood of vulnerability exploitation using machine learning classifiers can offer an alternative to traditional penetration testing solutions. In addition, the book describes a range of techniques that support data aggregation and data fusion to automate data-driven analytics in cyberthreat intelligence, allowing complex and previously unknown cyberthreats to be identified and classified, and countermeasures to be incorporated in novel incident response and intrusion detection mechanisms.

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