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| 001 | 978-981-97-2458-1 | ||
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_a10.1007/978-981-97-2458-1 _2doi |
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_aMachine Learning for Cyber Security _h[electronic resource] : _b5th International Conference, ML4CS 2023, Yanuca Island, Fiji, December 4–6, 2023, Proceedings / _cedited by Dan Dongseong Kim, Chao Chen. |
| 250 | _a1st ed. 2024. | ||
| 264 | 1 |
_aSingapore : _bSpringer Nature Singapore : _bImprint: Springer, _c2024. |
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| 300 |
_aXII, 174 p. 69 illus., 59 illus. in color. _bonline resource. |
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_atext _btxt _2rdacontent |
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_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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| 490 | 1 |
_aLecture Notes in Computer Science, _x1611-3349 ; _v14541 |
|
| 505 | 0 | _aKeystroke 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. | |
| 520 | _aThis 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. | ||
| 650 | 0 | _aData protection. | |
| 650 | 0 | _aComputer engineering. | |
| 650 | 0 |
_aComputer networks . _960157 |
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| 650 | 0 |
_aComputer networks _xSecurity measures. _963949 |
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| 650 | 1 | 4 |
_aData and Information Security. _966492 |
| 650 | 2 | 4 | _aComputer Engineering and Networks. |
| 650 | 2 | 4 |
_aMobile and Network Security. _966379 |
| 700 | 1 |
_aKim, Dan Dongseong. _eeditor. _0(orcid)0000-0003-2605-187X _1https://orcid.org/0000-0003-2605-187X _4edt _4http://id.loc.gov/vocabulary/relators/edt _975540 |
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| 700 | 1 |
_aChen, Chao. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _975541 |
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| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9789819724574 |
| 776 | 0 | 8 |
_iPrinted edition: _z9789819724598 |
| 830 | 0 |
_aLecture Notes in Computer Science, _x1611-3349 ; _v14541 |
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| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-981-97-2458-1 |
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