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

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

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Current price: $96.79
Original price: $120.93
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Security, Privacy, and Applied Cryptography Engineering: 14th International Conference, SPACE 2024, Kottayam, India, December 14-17, Proceedings

By None

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

Current price: $96.79
Original price: $120.93
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Size: Kobo eBook

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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 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.
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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