Applied Cryptography and Network Security 23rd International Conference, ACNS 2025, Munich, Germany, June 23–26, 2025, Proceedings, Part III /

This three-volume set LNCS 15825-15827 constitutes the proceedings of the 23rd International Conference on Applied Cryptography and Network Security, ACNS 2025, held in Munich, Germany, during June 23-26, 2025. The 55 full papers included in these proceedings were carefully reviewed and selected fro...

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I tiakina i:
Ngā taipitopito rārangi puna kōrero
Kaituhi rangatōpū: SpringerLink (Online service)
Ētahi atu kaituhi: Fischlin, Marc (Editor), Moonsamy, Veelasha (Editor)
Hōputu: Tāhiko īPukapuka
Reo:Ingarihi
I whakaputaina: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Putanga:1st ed. 2025.
Rangatū:Lecture Notes in Computer Science, 15827
Ngā marau:
Urunga tuihono:https://doi.org/10.1007/978-3-031-95767-3
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490 1 |a Lecture Notes in Computer Science,  |x 1611-3349 ;  |v 15827 
505 0 |a Quantum & Post-Quantum: Everlasting Fully Dynamic Group Signatures -- From ElGamal to Lattice-Based: Enhancing the Helios Voting System with Quantum-Safe Cryptography -- Post-Quantum Cryptography for Linux File System Integrity. Biometrics & Authentication: SEBioID: Secure and Effcient Biometric Identification with Two-Party Computation -- SoK: Continuous User Authentication Beyond Error Rates: Reviewing General System Properties -- Cancelable Biometrics based on Cosine Locality Sensitive Hashing and Grouped Inner Product Transformation for Real-valued Features. Privacy: PARSAN-Mix: Packet-Aware Routing and Shuffing with Additional Noise for Latency Optimization in Mix Networks -- ProvDP: Differential Privacy for System Provenance Dataset -- A New Quadratic Noisy Functional Encryption Scheme and Ist Application for Privacy Preserving Machine Learning -- FNSA: An Adaptive Privacy Protection Model for Trajectory Data -- SPPM: A Stackelberg Game-based Personalized Privacy-Preserving Model in Mobile Crowdsensing Systems. Machine Learning: Homomorphic WiSARDs: Effcient Weightless Neural Network training over encrypted data -- LaserGuider: A Laser Based Physical Backdoor Attack against Deep Neural Networks -- Recovering S-Box Design Structures and Quantifying Distances between S-Boxes using Deep Learning -- Obfuscation for Deep Neural Networks against Model-based Extraction Attacks: Taxonomy and Optimization. 
520 |a This three-volume set LNCS 15825-15827 constitutes the proceedings of the 23rd International Conference on Applied Cryptography and Network Security, ACNS 2025, held in Munich, Germany, during June 23-26, 2025. The 55 full papers included in these proceedings were carefully reviewed and selected from 241 submissions. The papers cover all technical aspects of applied cryptography, network and computer security and privacy, representing both academic research work as well as developments in industrial and technical frontiers. 
532 8 |a Accessibility summary: This PDF does not fully comply with PDF/UA standards, but does feature limited screen reader support, described non-text content (images, graphs), bookmarks for easy navigation and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com. 
532 8 |a No reading system accessibility options actively disabled 
532 8 |a Publisher contact for further accessibility information: accessibilitysupport@springernature.com 
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