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
978-981-92-3014-3 (9789819230143)
Schweitzer Classification
.- Applied Cryptography, Encryption, and Cryptanalysis.
.- Multi-Authority Attribute-Based Anonymous Credentials with Public Traceability and Revocation.
.- Efficient Identity-Based Matchmaking Encryption with Enhanced Privacy and Chosen-Ciphertext Security.
.- Laurent Polynomial-Based Linear Transformations for Improved Functional Bootstrapping.
.- Attribute-Based Encryption for Circuits and Inner-Product Predicate Encryption from Middle-Product LWE.
.- Evaluating SAT Accelerations for Cryptanalytic Trail Search - Low-Parallelism Portfolio Parallelism and A Comparison of Matsui-Based Methods.
.- Related-key Secure Blockwise Universal Permutations and Non-linear SPNs.
.- Beyond the U-Method: Automating the Search for UID-Based Contradictions with Constraint Programming.
.- Threshold FHE with Short Decryption Shares without a Semi-trusted Server.
.- Password Protected Universal Thresholdizer.
.- Batch-Puncturing Circuit CP-ABE (and More) from Lattices.
.- Forward-Secure Tag-Inverse Puncturable Identity-Based Encryption.
.- AI, Machine Learning, and Trustworthy AI Security.
.- TIDE: Making Task-Agnostic Backdoors Harder to Erase in Pre-trained Language Models.
.- Backdoor Risks in Personalized Federated Learning under Practical Constraints.
.- CSC: Turning the Adversary's Poison against Itself.
.- Knowledge Graph-Augmented Reasoning for Robust Multi-Modal Document Attack Detection.
.- Pixel-Depth Prototypical Knowledge Consolidation Network for Deepfake Detection.
.- PhishCascade: Confidence-Gated Multi-Agent Phishing Detection.
.- ST-Attention-XAI: Intrinsic Spatio-Temporal Explainability for IoT Intrusion Detection via Attention Analysis.
.- Harnessing Large Language Models for Real-Time Cyber Threat Detection and Response: A Comprehensive Survey.
.- OblivSage: Oblivious Graph Sampling for Privacy-Preserving GNN.
.- Privacy, Trust, and Secure Systems.
.- Ensuring Incentive Compatibility in an Enhanced All-Pay Auction Model for User Recruitment.
.- A Taxonomy-Driven Case Study of Australian Web Resources Against Technology-Facilitated Abuse.
.- Understanding the Security of Cloud Storage Services: A Case Study and UC-Secure Design.
