03769nam a22005895i 4500 978-981-97-2458-1 DE-He213 20251030112005.0 cr nn 008mamaa 240422s2024 si | s |||| 0|eng d 9789819724581 978-981-97-2458-1 10.1007/978-981-97-2458-1 doi QA76.9.A25 UR bicssc UTN bicssc COM053000 bisacsh UR thema UTN thema Machine Learning for Cyber Security [electronic resource] : 5th International Conference, ML4CS 2023, Yanuca Island, Fiji, December 4–6, 2023, Proceedings / edited by Dan Dongseong Kim, Chao Chen. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. XII, 174 p. 69 illus., 59 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Lecture Notes in Computer Science, 1611-3349 ; 14541 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. This book constitutes the referred proceedings of the 5th International Conference on Machine Learning for Cyber Security, ML4CS 2023, held in Yanuca Island, Fiji, during December 4–6, 2023. The 11 full papers presented in this book were carefully reviewed and selected from 35 submissions. They cover a variety of topics, including cybersecurity, AI security, machine learning security, encryption, authentication, data security and privacy, cybersecurity forensic analysis, vulnerability analysis, malware analysis, anomaly and intrusion detection. Data protection. Computer engineering. Computer networks . 60157 Computer networks Security measures. 63949 Data and Information Security. 66492 Computer Engineering and Networks. Mobile and Network Security. 66379 Kim, Dan Dongseong. editor. (orcid)0000-0003-2605-187X https://orcid.org/0000-0003-2605-187X edt http://id.loc.gov/vocabulary/relators/edt 75540 Chen, Chao. editor. edt http://id.loc.gov/vocabulary/relators/edt 75541 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819724574 Printed edition: 9789819724598 Lecture Notes in Computer Science, 1611-3349 ; 14541 https://doi.org/10.1007/978-981-97-2458-1 ZDB-2-SCS ZDB-2-SXCS ZDB-2-LNC 59291 59291