This LNCS-volume set in constitutes the refereed proceedings of the 31st Australasian Conference on Information Security and Privacy, ACISP 2026, held in Perth, WA, Australia, during July 6-9, 2026.
The 69 full papers presented in this volume were carefully reviewed and selected from 260 submissions. The papers are organized in the following topical sections:
Part I: Applied Cryptography and Cryptanalysis; AI, Machine Learning, and Trustworthy AI Security; Network, System, and Software Security; Blockchain, Smart Contracts, and Decentralized Security; Privacy, Authentication, and Cyber-Physical Systems Security.
Part II: Applied Cryptography, Encryption, and Cryptanalysis; AI, Machine Learning, and Trustworthy AI Security; Privacy, Trust, and Secure Systems.
Part III: Applied Cryptography and Post-Quantum Security; AI, Machine Learning, and Adversarial Security; Privacy, and Secure Distributed Systems; System Security, Privacy, and Secure Computing.
Series
Language
Place of publication
Publishing group
Springer Verlag, Singapore
Target group
Professional and scholarly
Illustrations
Dimensions
Height: 23.5 cm
Width: 15.5 cm
ISBN-13
978-981-92-3011-2 (9789819230112)
Schweitzer Classification
.- Applied Cryptography and Cryptanalysis.
.- Automated Tool for Finding Practical Collisions on SPN-based Hash Functions.
.- Meet-LWE with Hints: Solving Ternary LWE with Information Leakage.
.- Compact All-but-t Vector Commitments for MPC-in-the-Head Signatures.
.- Analyzing Forgery Security of LeMac: Tight Bounds and Impact of Padding.
.- Efficient Zero Knowledge Proofs for Committed Symmetric Boolean Functions From VOLE-in-the-Head.
.- Cryptanalytic Extraction of Convolutional Neural Networks.
.- Towards Public Tracing: Collaborative Traceable Secret Sharing.
.- Improved Tightly Secure (ID-based) Signatures in the AGM.
.- Transparent Fully Batchable Polynomial Commitment with Application to Scalable VSS.
.- AI, Machine Learning, and Trustworthy AI Security.
.- Okara: Detection and Attribution of TLS Man-in-the-Middle Vulnerabilities in Android Apps with Foundation Models.
.- Enhancing Backdoor Persistence under Uncontrolled Federated Clients: A Bidirectional Adversarial and Redundant Embedding Framework.
.- Detection and Interpretation of Malicious Network Traffic via a novel 8-Channel Image Representation.
.- Retention-Consistent Concept Unlearning for Diffusion Models.
.- Network, System, and Software Security.
.- ST-Mamba: Spatio-temporal Feature-Based Encrypted Traffic Analysis Using Mamba Network.
.- RC-MDNet: Risk-Controlled Malicious Domain Detection for Open-World Network Security.
.- CogSpy: Cognition-Driven PIN Inference against Layout-Randomized Soft Keyboards.
.- Shielding MCP Tool: A Secure Execution Framework using TEE and Automated Trimming.
.- Blockchain, Smart Contracts, and Decentralized Security.
.- ServiceChain: A Verifiable Cloud Service Framework for Resource-Constrained Blockchain Nodes.
.- Prompt to Pwn: Automated Exploit Generation for Smart Contracts.
.- Secure Sealed-bidding Networks via Conditional Time-aware Access Authorization.
.- The Dark Side of Upgrades: Uncovering Insecurity in Smart Contract Upgrades.
.- Privacy, Authentication, and Cyber-Physical Systems Security.
.- Missing the Link? Enhancing the Security of Digital Car Keys With Secure Session Linking and Hardware Trust.
.- Information-Theoretic Privacy for Long-Term Share Storage on Noisy Media.
