Android Malware Detection and Adversarial Methods (Record no. 88067)
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000 -LEADER | |
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fixed length control field | 03651nam a22006015i 4500 |
001 - CONTROL NUMBER | |
control field | 978-981-97-1459-9 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20240730172145.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 240523s2024 si | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9789819714599 |
-- | 978-981-97-1459-9 |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 005.8 |
100 1# - AUTHOR NAME | |
Author | Niu, Weina. |
245 10 - TITLE STATEMENT | |
Title | Android Malware Detection and Adversarial Methods |
250 ## - EDITION STATEMENT | |
Edition statement | 1st ed. 2024. |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | XIV, 190 p. 5 illus. |
520 ## - SUMMARY, ETC. | |
Summary, etc | The rise of Android malware poses a significant threat to users' information security and privacy. Malicious software can inflict severe harm on users by employing various tactics, including deception, personal information theft, and device control. To address this issue, both academia and industry are continually engaged in research and development efforts focused on detecting and countering Android malware. This book is a comprehensive academic monograph crafted against this backdrop. The publication meticulously explores the background, methods, adversarial approaches, and future trends related to Android malware. It is organized into four parts: the overview of Android malware detection, the general Android malware detection method, the adversarial method for Android malware detection, and the future trends of Android malware detection. Within these sections, the book elucidates associated issues, principles, and highlights notable research. By engaging with this book, readers will gain not only a global perspective on Android malware detection and adversarial methods but also a detailed understanding of the taxonomy and general methods outlined in each part. The publication illustrates both the overarching model and representative academic work, facilitating a profound comprehension of Android malware detection. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
General subdivision | Security measures. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
General subdivision | Law and legislation. |
700 1# - AUTHOR 2 | |
Author 2 | Zhang, Xiaosong. |
700 1# - AUTHOR 2 | |
Author 2 | Yan, Ran. |
700 1# - AUTHOR 2 | |
Author 2 | Gong, Jiacheng. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | https://doi.org/10.1007/978-981-97-1459-9 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
264 #1 - | |
-- | Singapore : |
-- | Springer Nature Singapore : |
-- | Imprint: Springer, |
-- | 2024. |
336 ## - | |
-- | text |
-- | txt |
-- | rdacontent |
337 ## - | |
-- | computer |
-- | c |
-- | rdamedia |
338 ## - | |
-- | online resource |
-- | cr |
-- | rdacarrier |
347 ## - | |
-- | text file |
-- | |
-- | rda |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computer networks |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Data protection. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Data protection |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Machine learning. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Blockchains (Databases). |
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Mobile and Network Security. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Data and Information Security. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Security Services. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Privacy. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Machine Learning. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Blockchain. |
912 ## - | |
-- | ZDB-2-SCS |
912 ## - | |
-- | ZDB-2-SXCS |
No items available.