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001 - CONTROL NUMBER |
control field |
978-981-99-2115-7 |
003 - CONTROL NUMBER IDENTIFIER |
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DE-He213 |
005 - DATE AND TIME OF LATEST TRANSACTION |
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20240319120931.0 |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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230613s2023 si | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9789819921157 |
-- |
978-981-99-2115-7 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
6.3 |
245 ## - TITLE STATEMENT |
Title |
Artificial Intelligence and Cyber Security in Industry 4.0 |
Statement of responsibility, etc. |
edited by Velliangiri Sarveshwaran, Joy Iong-Zong Chen, Danilo Pelusi. |
Medium |
[electronic resource] / |
250 ## - EDITION STATEMENT |
Edition statement |
1st ed. 2023. |
260 ## - PUBLICATION, DISTRIBUTION, ETC. |
Place of publication, distribution, etc. |
Singapore |
Name of publisher, distributor, etc. |
Springer Nature Singapore |
Date of publication, distribution, etc. |
2023 |
300 ## - PHYSICAL DESCRIPTION |
Extent |
VIII, 373 p. 100 illus., 86 illus. in color. |
Other physical details |
online resource. |
520 ## - SUMMARY, ETC. |
Summary, etc. |
This book provides theoretical background and state-of-the-art findings in artificial intelligence and cybersecurity for industry 4.0 and helps in implementing AI-based cybersecurity applications. Machine learning-based security approaches are vulnerable to poison datasets which can be caused by a legitimate defender's misclassification or attackers aiming to evade detection by contaminating the training data set. There also exist gaps between the test environment and the real world. Therefore, it is critical to check the potentials and limitations of AI-based security technologies in terms of metrics such as security, performance, cost, time, and consider how to incorporate them into the real world by addressing the gaps appropriately. This book focuses on state-of-the-art findings from both academia and industry in big data security relevant sciences, technologies, and applications. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Artificial intelligence. |
9 (RLIN) |
32957 |
|
Topical term or geographic name entry element |
Artificial Intelligence. |
9 (RLIN) |
32958 |
|
Topical term or geographic name entry element |
Big data. |
9 (RLIN) |
32959 |
|
Topical term or geographic name entry element |
Big Data. |
9 (RLIN) |
32960 |
|
Topical term or geographic name entry element |
Computational intelligence. |
9 (RLIN) |
32961 |
|
Topical term or geographic name entry element |
Computational Intelligence. |
9 (RLIN) |
32962 |
|
Topical term or geographic name entry element |
Internet of things. |
9 (RLIN) |
32963 |
|
Topical term or geographic name entry element |
Internet of Things. |
9 (RLIN) |
32964 |
|
Topical term or geographic name entry element |
Machine learning. |
9 (RLIN) |
32965 |
|
Topical term or geographic name entry element |
Machine Learning. |
9 (RLIN) |
32966 |
|
Topical term or geographic name entry element |
Mobile communication systems. |
9 (RLIN) |
32967 |
|
Topical term or geographic name entry element |
Wireless and Mobile Communication. |
9 (RLIN) |
32968 |
|
Topical term or geographic name entry element |
Wireless communication systems. |
9 (RLIN) |
32969 |
700 ## - ADDED ENTRY--PERSONAL NAME |
Personal name |
Chen, Joy Iong-Zong. |
9 (RLIN) |
32970 |
|
Personal name |
Pelusi, Danilo. |
9 (RLIN) |
32971 |
|
Personal name |
Sarveshwaran, Velliangiri. |
9 (RLIN) |
32972 |
856 ## - ELECTRONIC LOCATION AND ACCESS |
Uniform Resource Identifier |
<a href="https://doi.org/10.1007/978-981-99-2115-7">https://doi.org/10.1007/978-981-99-2115-7</a> |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Koha item type |
e-Book |
Source of classification or shelving scheme |
Dewey Decimal Classification |