| Record Type: |
Electronic resources
: Monograph/item
|
| Title/Author: |
Emerging information security and applications/ edited by Wenjuan Li, Liqun Chen, Javier Lopez. |
| Reminder of title: |
5th International Conference, EISA 2024, Changzhou, China, October 18-19, 2024 : proceedings / |
| remainder title: |
EISA 2024 |
| other author: |
Li, Wenjuan. |
| corporate name: |
Emerging Information Security and Applications (Symposium) |
| Published: |
Cham :Springer Nature Switzerland : : 2025., |
| Description: |
xii, 256 p. :ill. (chiefly color), digital ;24 cm. |
| [NT 15003449]: |
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. |
| Contained By: |
Springer Nature eBook |
| Subject: |
Data protection - Congresses. - |
| Online resource: |
https://doi.org/10.1007/978-3-031-80419-9 |
| ISBN: |
9783031804199 |