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Information Security and Privacy: 30th Australasian Conference, ACISP 2025, Wollongong, NSW, Australia, July 1416, 2025, Proceedings, Part III [Mīkstie vāki]

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  • Formāts: Paperback / softback, 484 pages, height x width: 235x155 mm, 111 Illustrations, color; 22 Illustrations, black and white; XV, 484 p. 133 illus., 111 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 15660
  • Izdošanas datums: 10-Jul-2025
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 9819691001
  • ISBN-13: 9789819691005
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Information Security and Privacy: 30th Australasian Conference, ACISP 2025, Wollongong, NSW, Australia, July 1416, 2025, Proceedings, Part IIIPalielināt
  • Formāts: Paperback / softback, 484 pages, height x width: 235x155 mm, 111 Illustrations, color; 22 Illustrations, black and white; XV, 484 p. 133 illus., 111 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 15660
  • Izdošanas datums: 10-Jul-2025
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 9819691001
  • ISBN-13: 9789819691005
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9789819691005.html
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.
.- 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
Coppersmiths 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.