Emerging Information Security and Applications
Third International Conference, EISA 2022, Wuhan, China, October 29-30, 2022, Proceedings
Published on 3. January 2023
X, 225 pages
978-3-031-23098-1 (ISBN)
Description
This volume constitutes selected papers presented at the Third International Symposium on Emerging Information Security and Applications, EISA 2022, held in Wuhan, China, in October 2022. Due to COVID-19, EISA 2022 was held fully online.
The 13 full papers presented in this volume were thoroughly reviewed and selected from the 35 submissions. They present a discussion on the emerging techniques, theories and applications to enhance information and application security in practice.
More details
Series
Edition
1st ed. 2022
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
X, 225 p. 69 illus., 51 illus. in color.
ISBN-13
978-3-031-23098-1 (9783031230981)
DOI
10.1007/978-3-031-23098-1
Schweitzer Classification
Other editions
Additional editions
Jiageng Chen | Debiao He | Rongxing Lu
Emerging Information Security and Applications
Third International Conference, EISA 2022, Wuhan, China, October 29-30, 2022, Proceedings
Book
01/2023
Springer
€80.24
Shipment within 15-20 days
Content
Asymmetric Secure Multi-Party Signing Protocol for the Identity-Based Signature Scheme in the IEEE P1363 Standard for Public Key Cryptography.- A Multi-Task Mobile Crowdsensing Scheme with Conditional Privacy Preserving for Vehicle Networks.- Towards Low-Latency Big Data Infrastructure at Sangfor.- Differential Cryptanalysis of Lightweight Block Ciphers SLIM and LCB.- Parallel Validity Analysis of the Boomerang Attack Model.- A Survey on Discrete Gaussian Samplers in Lattice Based Cryptography.- Hierarchical Identity Based Inner Product Functional Encryption for Privacy Preserving Statistical Analysis without q-type assumption.- AutoRoC-DBSCAN: automatic tuning of DBSCAN to detect malicious DNS tunnels.- HBMD-FL:Heterogeneous Federated Learning Algorithm Based On Blockchain and Model Distillation.- Secure and Efficient Certificateless Authentication Key Agreement Protocol in VANET.- An Efficient Federated Convolutional Neural Network Scheme with Differential Privacy.- D2CDIM:DID-based Decentralized Cross-domain Identity Management with Privacy-Preservation and Sybil-Resistance.- Link Aware Aggregation Query with Privacy-preserving Capability in Wireless Sensor Networks.
