Publication Details

Digital Forensics and Cyber Crime

MATOUŠEK Petr and SCHMIEDECKER Martin. Digital Forensics and Cyber Crime. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Cham: Springer International Publishing, 2018. ISBN 978-3-319-73697-6. Available from: http://www.springer.com/gp/book/9783319736969?wt_mc=ThirdParty.SpringerLink.3.EPR653.About_eBook#otherversion=9783319736976
Czech title
Digitální forenzní analýza a kybernetická kriminalita
Type
book
Language
english
Authors
Matoušek Petr, doc. Ing., Ph.D., M.A. (DIFS FIT BUT)
Schmiedecker Martin (SBA)
URL
Keywords

Computer Science, informatics, artificial intelligence, authentication, computer crime, computer operating systems,  cybercrime, digital forensics, machine learning, malware, network forensics, personal data, privacy, security, visualization.

Abstract

This book constitutes the refereed proceedings of the 9th International Conference on Digital Forensics and Cyber Crime, ICDF2C 2017, held in Prague, Czech Republic, in October 2017. The 18 full papers were selected from 50 submissions and are grouped in topical sections on malware and botnet, deanonymization, digital forensics tools, cybercrime investigation and digital forensics triage, digital forensics tools testing and validation, hacking.

Published
2018
Pages
235
Series
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
ISBN
978-3-319-73697-6
Publisher
Springer International Publishing
Place
Cham, CH
DOI
BibTeX
@BOOK{FITPUB11597,
   author = "Petr Matou\v{s}ek and Martin Schmiedecker",
   title = "Digital Forensics and Cyber Crime",
   pages = 235,
   series = "Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering",
   year = 2018,
   location = "Cham, CH",
   publisher = "Springer International Publishing",
   ISBN = "978-3-319-73697-6",
   doi = "10.1007/978-3-319-73697-6",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/11597"
}
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