Machine Intelligence and Big Data Analytics for Cybersecurity Applications

Inbunden, Engelska, 2020

Del i serien Studies in Computational Intelligence

2 221 kr

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Beskrivning

This book presents the latest advances in machine intelligence and big data analytics to improve early warning of cyber-attacks, for cybersecurity intrusion detection and monitoring, and malware analysis.

Produktinformation

Utgivningsdatum:2020-12-15
Mått:155 x 235 x 36 mm
Vikt:992 g
Format:Inbunden
Språk:Engelska
Serie:Studies in Computational Intelligence
Antal sidor:539
Förlag:Springer Nature Switzerland AG
ISBN:9783030570231

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Databaser inom Data och IT
Artificiell intelligens inom Data och IT

Innehållsförteckning

Network Intrusion Detection: Taxonomy and Machine Learning Applications.- Machine Learning and Deep Learning models for Big Data Issues.- The Fundamentals and Potential for Cybersecurity of Big Data in the Modern World.- Improving Cyber-Threat Detection by Moving the Boundary around the Normal Samples.- Bayesian Networks for Online Threat Detection.- Network Intrusion Detection for TCP/IP Packets with Machine Learning Techniques.- Developing a Blockchain-based and Distributed Database-oriented Multi-Malware Detection Engine.- Classifying Common Vulnerabilities and Exposures Database Using Text Mining and Graph Theoretical Analysis.- Robust Cryptographical Applications for a Secure Wireless Network Protocol.