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Machine learning for cyber security = 5th International Conference, ML4CS 2023, Yanuca Island, Fiji, December 4-6, 2023 : proceedings /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Machine learning for cyber security/ edited by Dan Dongseong Kim, Chao Chen.
Reminder of title:	5th International Conference, ML4CS 2023, Yanuca Island, Fiji, December 4-6, 2023 : proceedings /
remainder title:	ML4CS 2023
other author:	Kim, Dan Dongseong.
corporate name:	ML4CS (Conference)
Published:	Singapore :Springer Nature Singapore : : 2024.,
Description:	xii, 174 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Machine learning - Congresses. -
Online resource:	https://doi.org/10.1007/978-981-97-2458-1
ISBN:	9789819724581

Machine learning for cyber security = 5th International Conference, ML4CS 2023, Yanuca Island, Fiji, December 4-6, 2023 : proceedings /
Machine learning for cyber security5th International Conference, ML4CS 2023, Yanuca Island, Fiji, December 4-6, 2023 : proceedings /[electronic resource] :ML4CS 2023edited by Dan Dongseong Kim, Chao Chen. - Singapore :Springer Nature Singapore :2024. - xii, 174 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,145411611-3349 ;. - Lecture notes in computer science ;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.

ISBN: 9789819724581

Standard No.: 10.1007/978-981-97-2458-1doiSubjects--Topical Terms:

576368
Machine learning
--Congresses.

LC Class. No.: Q325.5

Dewey Class. No.: 006.31

Machine learning for cyber security = 5th International Conference, ML4CS 2023, Yanuca Island, Fiji, December 4-6, 2023 : proceedings /
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