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Security, privacy, and applied cryptography engineering14th International Conference, SPACE 2024, Kottayam, India, December 14-17, 2024 : proceedings /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Security, privacy, and applied cryptography engineeringedited by Johann Knechtel, Urbi Chatterjee, Domenic Forte.
Reminder of title:	14th International Conference, SPACE 2024, Kottayam, India, December 14-17, 2024 : proceedings /
remainder title:	SPACE 2024
other author:	Knechtel, Johann.
corporate name:
Published:	Cham :Springer Nature Switzerland :2025.
Description:	x, 318 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Data encryption (Computer science)
Online resource:	https://doi.org/10.1007/978-3-031-80408-3
ISBN:	9783031804083$q(electronic bk.)

Security, privacy, and applied cryptography engineering14th International Conference, SPACE 2024, Kottayam, India, December 14-17, 2024 : proceedings /
Security, privacy, and applied cryptography engineering14th International Conference, SPACE 2024, Kottayam, India, December 14-17, 2024 : proceedings /[electronic resource] :SPACE 2024edited by Johann Knechtel, Urbi Chatterjee, Domenic Forte. - Cham :Springer Nature Switzerland :2025. - x, 318 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes in computer science,153510302-9743 ;. - Lecture notes in computer science ;4891..

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.

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.

ISBN: 9783031804083$q(electronic bk.)

Standard No.: 10.1007/978-3-031-80408-3doiSubjects--Topical Terms:

184520
Data encryption (Computer science)

LC Class. No.: QA76.9.A25

Dewey Class. No.: 005.8

Security, privacy, and applied cryptography engineering14th International Conference, SPACE 2024, Kottayam, India, December 14-17, 2024 : proceedings /
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520 $a 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.
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