The Resource Network Intrusion Detection using Deep Learning : A Feature Learning Approach, by Kwangjo Kim, Muhamad Erza Aminanto, Harry Chandra Tanuwidjaja, (electronic resource)

Network Intrusion Detection using Deep Learning : A Feature Learning Approach, by Kwangjo Kim, Muhamad Erza Aminanto, Harry Chandra Tanuwidjaja, (electronic resource)

Label
Network Intrusion Detection using Deep Learning : A Feature Learning Approach
Title
Network Intrusion Detection using Deep Learning
Title remainder
A Feature Learning Approach
Statement of responsibility
by Kwangjo Kim, Muhamad Erza Aminanto, Harry Chandra Tanuwidjaja
Creator
Contributor
Author
Author
Provider
Subject
Language
eng
Summary
This book presents recent advances in intrusion detection systems (IDSs) using state-of-the-art deep learning methods. It also provides a systematic overview of classical machine learning and the latest developments in deep learning. In particular, it discusses deep learning applications in IDSs in different classes: generative, discriminative, and adversarial networks. Moreover, it compares various deep learning-based IDSs based on benchmarking datasets. The book also proposes two novel feature learning models: deep feature extraction and selection (D-FES) and fully unsupervised IDS. Further challenges and research directions are presented at the end of the book. Offering a comprehensive overview of deep learning-based IDS, the book is a valuable reerence resource for undergraduate and graduate students, as well as researchers and practitioners interested in deep learning and intrusion detection. Further, the comparison of various deep-learning applications helps readers gain a basic understanding of machine learning, and inspires applications in IDS and other related areas in cybersecurity
Member of
http://library.link/vocab/creatorName
Kim, Kwangjo
http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsaut
  • Rb7Bf70nsY4
  • zjXscsjf2gI
  • BDGF2EjtBGk
Image bit depth
0
LC call number
QA76.9.A25
Literary form
non fiction
http://library.link/vocab/relatedWorkOrContributorName
  • Aminanto, Muhamad Erza.
  • Tanuwidjaja, Harry Chandra.
  • SpringerLink
Series statement
SpringerBriefs on Cyber Security Systems and Networks,
http://library.link/vocab/subjectName
  • Data protection
  • Artificial intelligence
  • Wireless communication systems
  • Mobile communication systems
  • Big data
  • Data mining
  • Security
  • Artificial Intelligence (incl. Robotics)
  • Systems and Data Security
  • Wireless and Mobile Communication
  • Big Data
  • Data Mining and Knowledge Discovery
Label
Network Intrusion Detection using Deep Learning : A Feature Learning Approach, by Kwangjo Kim, Muhamad Erza Aminanto, Harry Chandra Tanuwidjaja, (electronic resource)
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Chapter 1 Introduction -- Chapter 2 Intrusion Detection Systems -- Chapter 3 Classical Machine Learning and Its Applications to IDS -- Chapter 4 Deep Learning -- Chapter 5 Deep Learning-based IDSs -- Chapter 6 Deep Feature Learning -- Chapter 7 Summary and Further Challenges
Dimensions
unknown
Extent
XVII, 79 p. 30 illus., 11 illus. in color.
File format
multiple file formats
Form of item
electronic
Isbn
9789811314445
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-981-13-1444-5
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-981-13-1444-5
Label
Network Intrusion Detection using Deep Learning : A Feature Learning Approach, by Kwangjo Kim, Muhamad Erza Aminanto, Harry Chandra Tanuwidjaja, (electronic resource)
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Chapter 1 Introduction -- Chapter 2 Intrusion Detection Systems -- Chapter 3 Classical Machine Learning and Its Applications to IDS -- Chapter 4 Deep Learning -- Chapter 5 Deep Learning-based IDSs -- Chapter 6 Deep Feature Learning -- Chapter 7 Summary and Further Challenges
Dimensions
unknown
Extent
XVII, 79 p. 30 illus., 11 illus. in color.
File format
multiple file formats
Form of item
electronic
Isbn
9789811314445
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-981-13-1444-5
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-981-13-1444-5

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