Security, Privacy, and Applied Cryptography Engineering
Description
This book constitutes the proceedings of the 15th International Conference on Security, Privacy, and Applied Cryptography Engineering, SPACE 2025, held in Guwahati, India, during December 16-19, 2025.
The 22 full papers included in this book were carefully reviewed and selected from 103 submissions.They focus on various aspects of security, privacy, applied cryptography, and cryptographic engineering offering valuable insights and innovative solutions toward a better, more secure digital world.
More details
Other editions
Additional editions
Content
.- A Custom Entropy Harvester for Consistent Entropy Supply to the /dev/random.
.- Efficient Time Share Masking of AES.
.- Investigation on the Impact of Practical Fault Model for Commercial Edge Machine Learning Devices.
.- A new perspective on the decomposition in the Jacobian of small genus hyperelliptic curve.
.- A Multi-View Contrastive Graph Neural Network Framework for Malware Detection in IoMT environments.
.- PAC-Guided Design Strategies for Resilient Priority Arbiter PUFs.
.- Toward Crypto Agility: Automated Analysis of Quantum-Vulnerable TLS via Packet Inspection.
.- GhostWriter: Exploiting GPU-Cache Contention to Steal and Steer Multi-Tenant Large-Language-Model Inference.
.- Breaking PCB-Chain: A Side Channel Assisted Attack on IoT-Friendly Blockchain Mining.
.- Analyzing Non-linear Shift Register Transformations in the Design and Cryptanalysis of Espresso.
.- Sample Similarity based Incremental Clustering: An Effective Methodology for Anomaly Detection in Networks .
.- Addressing Cache Side-Channel Attacks using Taint-guidedFine-grained Computation Offloading in Near-Memory Processing.
.- Gradient-Guided Adversarial Patch Attack for Deep Neural Networks.
.- High throughput 64-bit implementation of SNOW-V stream cipher.
.- A Security Analysis of CNN Partitioning Strategies for Distributed Inference at the Edge.
.- MLP is better than ResNet on ANSSI's Protected AES Implementation on ARM.
.- VulScan-LT: A Lightweight Transformer-based Software VulnerabilityScanning Tool for Resource-Constrained Edge Devices.
.- Enhanced Hardware Trojan Detection with XGBoost Graph Learning:A Glass Box Approach.
.- Hard-to-Find Bugs in Public-Key Cryptographic Software:Classification and Test Methodologies.
.- Secure Secret Sharing Protocol Against Network Data Remanence Side Channel Attacks.
.- Quantum Synthesis of Large S-Boxes: Heuristic and MILP-Based Transpiled-Depth Optimization.
.- A keystream generator inspired by the experiment of drawing balls with replacement.