Information Security and Privacy 30th Australasian Conference, ACISP 2025, Wollongong, NSW, Australia, July 14–16, 2025, Proceedings, Part III /

This three-volume set in LNCS constitutes the refereed proceedings of the 30th Australasian Conference on Information Security and Privacy, ACISP 2025, held in Wollongong, NSW, Australia, during July 14–16, 2025. The 54 full papers, 6 short papers and 1 invited paper included in this book were caref...

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書誌詳細
団体著者: SpringerLink (Online service)
その他の著者: Susilo, Willy (編集者), Pieprzyk, Josef (編集者)
フォーマット: 電子媒体 eBook
言語:英語
出版事項: Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
版:1st ed. 2025.
シリーズ:Lecture Notes in Computer Science, 15660
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オンライン・アクセス:https://doi.org/10.1007/978-981-96-9101-2
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505 0 |a  -- Privacy Enhancing Technologies. -- Comparing and Improving Frequency Estimation Perturbation Mechanisms under Local Differential Privacy. -- Strong Federated Authentication With Password-based Credential Against Identity Server Corruption. -- Anonymous Credentials with Credential Redaction and Its Application to SSI-based Plug Charge for Shared Vehicles. -- Direction-Oriented Smooth Sensitivity and Its Application to Genomic Statistical Analysis. -- Sentence Embedding Generation Method for Differential Privacy Protection. .-KD-IBMRKE-PPFL: A Privacy-Preserving Federated Learning Framework Integrating Knowledge Distillation and Identity-Based Multi-Receiver Key Encapsulation. -- AI Security and Privacy. -- Identifying the Truth of Global Model: A Generic Solution to Defend Against Byzantine and Backdoor Attacks in Federated Learning. .-RAGLeak: Membership Inference Attacks on RAG-Based Large Language Models. -- DeGain: Detecting GAN-based Data Inversion in Collaborative Deep Learning. -- FRFL: Fair and Robust Federated Learning Incentive Model Based on Game Theory. -- DPFedSub: A Differentially Private Federated Learning with Randomized Subspace Descend. -- MG-Det: Deepfake Detection with Multi-Granularity. -- LPIA: Label Preference Inference Attack against Federated Graph Learning. -- DARA: Enhancing Vulnerability Alignment via Adaptive Reconstruction and Dual-Level Attention. -- Zeroth-Order Federated Private Tuning for Pretrained Large Language Models. -- Understanding the Robustness of Machine-Unlearning Models. -- System Security. -- Mitigating the Unprivileged User Namespaces based Privilege Escalation Attacks with Linux Capabilities. -- SoK: From Systematization to Best Practices in Fuzz Driver Generation. -- Facial Authentication Security Evaluation against Deepfake Attacks in Mobile Apps. -- Short Papers. -- EAPIR: Efficient and Authenticated Private Information Retrieval with Fast Server Processing. -- Ransomware Encryption Detection: Adaptive File System Analysis Against Evasive Encryption Tactics. -- Receiver-initiated Updatable Public Key Encryption: Construction, Security and Application. -- Robust and Privacy-Preserving Dynamic Average Consensus with Individual Weight. -- Improving RSA Cryptanalysis: Combining Continued Fractions and Coppersmith’s Techniques. -- Shortest Printable Shellcode Encoding Algorithm Based on Dynamic Bitwidth Selection. -- Position Paper. -- Bridging Clone Detection and Industrial Compliance: A Practical Pipeline for Enterprise Codebases. 
520 |a This three-volume set in LNCS constitutes the refereed proceedings of the 30th Australasian Conference on Information Security and Privacy, ACISP 2025, held in Wollongong, NSW, Australia, during July 14–16, 2025. The 54 full papers, 6 short papers and 1 invited paper included in this book were carefully reviewed and selected from 181 submissions. They were organized in topical sections as follows: symmetric-key cryptography and cryptanalysis; public-key encryption; digital signatures and zero knowledge; cryptographic protocols and blockchain; post-quantum cryptography; homomorphic encryption and applications; cryptographic foundations and number theory; privacy enhancing technologies; AI security and privacy; system security. 
532 8 |a Accessibility summary: This PDF has been created in accordance with the PDF/UA-1 standard to enhance accessibility, including screen reader support, described non-text content (images, graphs), bookmarks for easy navigation, keyboard-friendly links and forms and searchable, selectable text. 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. Please note that a more accessible version of this eBook is available as ePub. 
532 8 |a No reading system accessibility options actively disabled 
532 8 |a Publisher contact for further accessibility information: accessibilitysupport@springernature.com 
650 0 |a Data protection. 
650 0 |a Computer security. 
650 0 |a Cryptography. 
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650 0 |a Computer networks  |x Security measures. 
650 0 |a Blockchains (Databases). 
650 1 4 |a Data and Information Security. 
650 2 4 |a Principles and Models of Security. 
650 2 4 |a Cryptology. 
650 2 4 |a Privacy. 
650 2 4 |a Mobile and Network Security. 
650 2 4 |a Blockchain. 
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