Security and Cryptography

This book includes extended and revised versions of a set of selected papers presented at the 20th International Conference on Security and Cryptography, SECRYPT 2023, which took place in Rome, Italy, during July 1012, 2023; and the 21st International Conference on ** Security and Cryptography ,** SECRYPT 2024, which was held in Dijon, France, during July 8-10, 2024.

This book includes 5 papers from SECRYPT 2023 which has received a total of 169 submissions, for SECRYPT 2024 a total of 175 submission has been received of which 7 papers are included in this book.

They deal with all theoretical and practical asepcts of data protection, privacy, security and applied cryptography, focusing on the application of security technology, the implementation of systems and lessons learned.

Klappentext

.- Securing Automatic Identification System Based on Certificateless Cryptography. .- OSAGE: A Framework for Obfuscated Sample Generation and Evaluation. .- Empowering Patients for Disease Diagnosis and Clinical Treatment: A Smart Contract-Enabled Informed Consent Strategy. .- Obtaining Reliability from Untrusted and Unreliable Clouds and (Social) Networks. .- Deep Learning for DDoS Attack Detection in IoT: A Survey. .- Iris Recognition from Websites and Social Media: State of the Art and Privacy Concerns. .- Strengthening Biometric Fuzzy Vault Against Statistical Bias Exploitation. .- XRPL Protocol: Consensus, Forking and Correctness. .- Secure Federated Learning with Watermarking and Homomorphic Encryption: A Blockchain-Enhanced Framework. .- Towards a Cryptographic Model for Wireless Communication: Extended Version. .- Measuring the Absolute and Relative Prevalence of SQL Concatenations and SQL-Identifier Injections. .- Security Assessment of Interacting Ethereum Smart Contracts.

Inhalt

.- Securing Automatic Identification System Based on Certificateless Cryptography.
.- OSAGE: A Framework for Obfuscated Sample Generation and Evaluation.
.- Empowering Patients for Disease Diagnosis and Clinical Treatment: A Smart Contract-Enabled Informed Consent Strategy.
.- Obtaining Reliability from Untrusted and Unreliable Clouds and (Social) Networks.
.- Deep Learning for DDoS Attack Detection in IoT: A Survey.
.- Iris Recognition from Websites and Social Media: State of the Art and Privacy Concerns.
.- Strengthening Biometric Fuzzy Vault Against Statistical Bias Exploitation.
.- XRPL Protocol: Consensus, Forking and Correctness.
.- Secure Federated Learning with Watermarking and Homomorphic Encryption: A Blockchain-Enhanced Framework.
.- Towards a Cryptographic Model for Wireless Communication: Extended Version.
.- Measuring the Absolute and Relative Prevalence of SQL Concatenations and SQL-Identifier Injections.
.- Security Assessment of Interacting Ethereum Smart Contracts.