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Security, Privacy, and Applied Cryptography Engineering 14th International Conference, SPACE 2024, Kottayam, India, December 14–17, 2024, Proceedings /

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 carefull...

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Wedi'i Gadw mewn:
Manylion Llyfryddiaeth
Awdur Corfforaethol: SpringerLink (Online service)
Awduron Eraill: Knechtel, Johann (Golygydd), Chatterjee, Urbi (Golygydd), Forte, Domenic (Golygydd)
Fformat: Electronig eLyfr
Iaith:Saesneg
Cyhoeddwyd: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Rhifyn:1st ed. 2025.
Cyfres:Lecture Notes in Computer Science, 15351
Pynciau:
Data protection.
Computer networks .
Image processing > Digital techniques.
Computer vision.
Data and Information Security.
Computer Communication Networks.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Mynediad Ar-lein:https://doi.org/10.1007/978-3-031-80408-3
Tagiau: Ychwanegu Tag
Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!
Tabl Cynhwysion:
  • -- 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.

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