Titlebook: Applied Cryptography and Network Security; 22nd International C Christina P?pper,Lejla Batina Conference proceedings 2024 The Editor(s) (if

難解

破譯

Identity-Based Matchmaking Encryption from?Standard Lattice Assumptions that emphasizes privacy and authenticity. It ensures that the content of a message is only revealed when the recipient’s identity matches the intended recipient specified by the sender, and when the target sender’s identity, chosen by the receiver during decryption, matches the actual sender’s iden

策略

vertebrate

推遲

POLYP

訓(xùn)誡

DDoSMiner: An Automated Framework for?DDoS Attack Characterization and?Vulnerability Minings and Deep Packet Inspection (DPI) defense measures can effectively thwart many DDoS attacks, attackers keep exploring various attack surfaces and traffic amplification strategies to nullify the defense. In this paper, we propose DDoSMiner, an automated framework for DDoS attack characterization and

Aspiration

Memory Efficient Privacy-Preserving Machine Learning Based on?Homomorphic Encryptiong models. However, FHE is computationally expensive and requires significant memory. Single instruction multiple data (SIMD) can offset this cost. Batch-packing, an SIMD technique that packs data along the batch dimension, requires significant memory. In convolutional neural networks, we can exploit