Deep Learning Applications for Cyber Security (häftad)
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Format
Inbunden (Hardback)
Språk
Engelska
Serie
Advanced Sciences and Technologies for Security Applications
Antal sidor
246
Utgivningsdatum
2019-08-30
Förlag
Springer Nature Switzerland AG
Dimensioner
239 x 182 x 18 mm
Vikt
545 g
ISBN
9783030130565

Deep Learning Applications for Cyber Security

av Mamoun Alazab, Mingjian Tang
Inbunden,  Engelska, 2019-08-30
1484
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Filling an important gap between deep learning and cyber security communities, it discusses topics covering a wide range of modern and practical deep learning techniques, frameworks and development tools to enable readers to engage with the cutting-edge research across various aspects of cyber security.
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Mamoun Alazab, Mingjian Tang

Övrig information

Mamoun Alazab is an Associate Professor in the College of Engineering, IT and Environment at Charles Darwin University, Australia. He received his PhD degree in Computer Science from the Federation University of Australia, School of Science, Information Technology and Engineering. He is a cyber security researcher and practitioner with industry and academic experience. Alazab's research is multidisciplinary that focuses on cyber security and digital forensics of computer systems with a focus on cybercrime detection and prevention. He has more than 100 research papers. He delivered many invited and keynote speeches, 22 events in 2018 alone. He convened and chaired more than 50 conferences and workshops. He works closely with government and industry on many projects. He is an editor on multiple editorial boards of international journals and a Senior Member of the IEEE. MingJian Tang is a Senior Data Scientist at Singtel Optus, Australia. He received his PhD¿degree in Computer Science from La Trobe University, Melbourne, Australia, in 2009. Previously he was a Data Scientist¿at the Commonwealth Bank of Australia. He has participated in several industry-based research projects including unsupervised fraud detection, unstructured threat intelligence, cyber risk analysis and quantification, and big data analysis.

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