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Books > Computing & IT > Applications of computing > Artificial intelligence
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Data Science in Cybersecurity and Cyberthreat Intelligence (Hardcover, 1st ed. 2020)
Loot Price: R4,897
Discovery Miles 48 970
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Data Science in Cybersecurity and Cyberthreat Intelligence (Hardcover, 1st ed. 2020)
Series: Intelligent Systems Reference Library, 177
Expected to ship within 12 - 17 working days
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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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