UID:
almahu_9949930855802882
Umfang:
X, 318 p. 105 illus., 79 illus. in color.
,
online resource.
Ausgabe:
1st ed. 2025.
ISBN:
9783031804083
Serie:
Lecture Notes in Computer Science, 15351
Inhalt:
This book constitutes the refereed proceedings of the 14th International Conference on Security, Privacy, and Applied Cryptography Engineering, SPACE 2024, held in Kottayam, India, during December 14-17, 2024. The 8 full papers, 10 short papers and 1 invited paper included in this book were carefully reviewed and selected from 43 submissions. They were organized in topical sections as follows: security, privacy, applied cryptographic engineering, integration of machine learning techniques, reflecting the growing prominence of this approach in contemporary research on security and cryptography, hardware security, the exploration of post-quantum cryptography, and the development of efficient implementations for emerging cryptographic primitives.
Anmerkung:
-- Attacks and Countermeasures for Digital Microfluidic Biochips. -- SideLink: Exposing NVLink to Covert- and Side-Channel Attacks. -- Faster and more Energy-Efficient Equation Solvers over GF(2). -- Transferability of Evasion Attacks Against FHE Encrypted Inference. -- Security Analysis of ASCON Cipher under Persistent Faults. -- Privacy-Preserving Graph-Based Machine Learning with Fully Homomorphic Encryption for Collaborative Anti-Money Laundering. -- CoPrIME: Complete Process Isolation using Memory Encryption. -- Online Testing Entropy and Entropy Tests with a Two State Markov Model. -- DLShield: A Defense Approach against Dirty Label Attacks in Heterogeneous Federated Learning. -- Benchmarking Backdoor Attacks on Graph Convolution Neural Networks: A Comprehensive Analysis of Poisoning Techniques. -- Spatiotemporal Intrusion Detection Systems for IoT Networks. -- High Speed High Assurance implementations of Mutivariate Quadratic based Signatures. -- "There's always another counter": Detecting Micro-architectural Attacks in a Probabilistically Interleaved Malicious/Benign Setting. -- FPGA-Based Acceleration of Homomorphic Convolution with Plaintext Kernels. -- Post-Quantum Multi-Client Conjunctive Searchable Symmetric Encryption from Isogenies. -- BlockDoor: Blocking Backdoor Based Watermarks in Deep Neural Networks. -- Adversarial Malware Detection. -- ML based Improved Differential Distinguisher with High Accuracy: Application to GIFT-128 and ASCON.
In:
Springer Nature eBook
Weitere Ausg.:
Printed edition: ISBN 9783031804076
Weitere Ausg.:
Printed edition: ISBN 9783031804090
Sprache:
Englisch
DOI:
10.1007/978-3-031-80408-3
URL:
https://doi.org/10.1007/978-3-031-80408-3
