1.

Record Nr.

UNISA996635664003316

Autore

Knechtel Johann

Titolo

Security, Privacy, and Applied Cryptography Engineering : 14th International Conference, SPACE 2024, Kottayam, India, December 14–17, 2024, Proceedings / / edited by Johann Knechtel, Urbi Chatterjee, Domenic Forte

Pubbl/distr/stampa

Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025

ISBN

9783031804083

3031804082

Edizione

[1st ed. 2025.]

Descrizione fisica

1 online resource (329 pages)

Collana

Lecture Notes in Computer Science, , 1611-3349 ; ; 15351

Altri autori (Persone)

ChatterjeeUrbi

ForteDomenic

Disciplina

005.8

Soggetti

Data protection

Computer networks

Image processing - Digital techniques

Computer vision

Data and Information Security

Computer Communication Networks

Computer Imaging, Vision, Pattern Recognition and Graphics

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

-- 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.

Sommario/riassunto

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.