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| Link zu diesem Datensatz | https://d-nb.info/1326997386 |
| Titel | Machine Learning for Cyber Security : 5th International Conference, ML4CS 2023, Yanuca Island, Fiji, December 4–6, 2023, Proceedings / edited by Dan Dongseong Kim, Chao Chen |
| Person(en) |
Kim, Dan Dongseong (Herausgeber) Chen, Chao (Herausgeber) |
| Organisation(en) | SpringerLink (Online service) (Sonstige) |
| Ausgabe | 1st ed. 2024 |
| Verlag | Singapore : Springer Nature Singapore, Imprint: Springer |
| Zeitliche Einordnung | Erscheinungsdatum: 2024 |
| Umfang/Format | Online-Ressource, XII, 174 p. 69 illus., 59 illus. in color. : online resource. |
| Andere Ausgabe(n) |
Printed edition:: ISBN: 978-981-9724-57-4 Printed edition:: ISBN: 978-981-9724-59-8 |
| Inhalt | Keystroke Transcription from Acoustic Emanations Using Continuous Wavelet Transform -- Strengthening Cyber Security Education Designing Robust Assessments for Chat GPT Generated Answers -- Pass File Graphical Password Authentication based on File Browsing Records -- On the Role of Similarity in Detecting Masquerading Files -- A Password-based Mutual Authenticated Key Exchange Scheme by Blockchain for WBAN -- Traffic Signal Timing Optimization Based on Intersection Importance in Vehicle Road Collaboration -- A client side watermarking with private class in Federated learning -- Research on Evasion and Detection of Malicious JavaScript Code -- Tackling Non IID for Federated Learning with Components Alignment -- Security on top of Security Detecting Malicious Firewall Policy Changes via K Means Clustering -- Penetrating Machine Learning Servers via Exploiting BMC Vulnerability |
| Persistent Identifier |
URN: urn:nbn:de:101:1-2404230407261.091151152875 DOI: 10.1007/978-981-97-2458-1 |
| URL | https://doi.org/10.1007/978-981-97-2458-1 |
| ISBN/Einband/Preis | 978-981-97-2458-1 |
| Sprache(n) | Englisch (eng) |
| Beziehungen | Lecture Notes in Computer Science ; 14541 |
| DDC-Notation | 005.8 (maschinell ermittelte DDC-Kurznotation) |
| Sachgruppe(n) | 004 Informatik |
| Online-Zugriff | Archivobjekt öffnen |
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