This book constitutes the refereed proceedings of the 5th International Conference on EISA--Emerging Information Security and Applications, EISA 2024, held in Changzhou, China, during October 18–19, 2024.The 15 full papers and 3 short papers included in this book were carefully reviewed and selected from 52 submissions.

.- High-Efficiency Phase-Index Correlation Delay Shift Keying Modulation. .- Federated Learning Poison Attack Detection Scheme Based on Gradient Similarity. .- A Privacy-Preserving and Fault-Tolerant Data Aggregation Scheme in Smart Grids. .- Local Differential Privacy for Key-Value Data Collection and Analysis Based on Privacy Preference and Adaptive Sampling. .- Comparative Study of Machine Learning Approaches for Phishing Website Detection. .- Exploring Interpretability in Backdoor Attacks on Image. .- Attribute-Based Secret Key Signature Scheme. .- Digital token transaction tracing method. .- GPT-based WebAssembly Instruction Analysis for Program Language Processing. .- Research on Key Technologies of Fair Deep Learning. .- Adaptive Differential Privacy Based Optimization Scheme for Federated Learning. .- Cascading failures model with noise interference in supply chain networks. .- DefMPA: Defending Model Poisoning Attacks in Federated Learning via Model Update Prediction. .- SDDRM: An Optimization Algorithm for Localized Differential Privacy Based on Data Sensitivity Differences. .- Blockchain-based key management scheme in Internet of Things. .- Privacy Optimization of Deep Recommendation Algorithm in Federated Framework. .- Delegated Proof of Stake Consensus Mechanism Based on the Overall Perspective of Voting. .- A Distributed Privacy-preserving Data Aggregation Scheme for MaaS Data Sharing.