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El. knyga: Security, Privacy, and Applied Cryptography Engineering: 14th International Conference, SPACE 2024, Kottayam, India, December 14-17, 2024, Proceedings

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  • Formatas: PDF+DRM
  • Serija: Lecture Notes in Computer Science 15351
  • Išleidimo metai: 12-Dec-2024
  • Leidėjas: Springer International Publishing AG
  • Kalba: eng
  • ISBN-13: 9783031804083
Kitos knygos pagal šią temą:
Security, Privacy, and Applied Cryptography Engineering: 14th International Conference, SPACE 2024, Kottayam, India, December 14-17, 2024, ProceedingsDidesnis paveikslėlis
  • Formatas: PDF+DRM
  • Serija: Lecture Notes in Computer Science 15351
  • Išleidimo metai: 12-Dec-2024
  • Leidėjas: Springer International Publishing AG
  • Kalba: eng
  • ISBN-13: 9783031804083
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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 1417, 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.
.- 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.

.- Theres 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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