Security and Privacy in Social Networks and Big Data
8th International Symposium, SocialSec 2022, Xi'an, China, October 16-18, 2022, Proceedings
(Sprache: Englisch)
This book constitutes the proceedings of the 8th International Symposium on Security and Privacy in Social Networks and Big Data, SocialSec 2022, which took place in Xi'an, China, in October 2022.
The 23 papers presented in this volume were carefully...
The 23 papers presented in this volume were carefully...
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Produktinformationen zu „Security and Privacy in Social Networks and Big Data “
Klappentext zu „Security and Privacy in Social Networks and Big Data “
This book constitutes the proceedings of the 8th International Symposium on Security and Privacy in Social Networks and Big Data, SocialSec 2022, which took place in Xi'an, China, in October 2022.The 23 papers presented in this volume were carefully reviewed and selected from 103 submissions. The papers were evaluated on the basis of their significance, novelty, technical quality, as well as on their practical impact or their level of advancement of the field's foundations. They were organized in topical sections as follows: Cryptography and its applications; Network security and privacy protection; Data detection; Blockchain and its applications.
Inhaltsverzeichnis zu „Security and Privacy in Social Networks and Big Data “
Cryptography and its applications.- Improved (t,n)-Threshold Proxy Signature Scheme.- Algorithm Substitution Attacks on Identity-Based Encryption.- Authenticated Continuous Top-k Spatial Keyword Search on Dynamic Objects.- Efficient Attribute-based Proxy Re-encryption for Secure Deduplication.- A Secure Word Vector Training Scheme Based on Inner-Product Functional Encryption.- D2D Authentication Scheme for IoT-enabled Smart Home.- Inner Product Encryption from Middle-Product Learning with Errors.- Network security and privacy protection.- Publicly Verifiable Private Set Intersection from Homomorphic Encryption.- Secure Asynchronous Federated Learning for Edge Computing Devices.- FedBC: An Efficient and Privacy-preserving Federated Consensus Scheme.- A Secure and Privacy-preserving Authentication Scheme in IoMT.- Secure and Efficient k-Nearest Neighbor Query with Privacy-Preserving Authentication.- A Network Security Situation Assessment Method Based on Multi-attention Mechanism and HHO-ResNeXt.- A Privacy-Preserving Federated Learning with Mutual Verification on Vector Spaces.- Data detection.- Patch-based Backdoors Detection and Mitigation with Feature Masking.- Detection and Defense Against DDoS Attack on SDN Controller Based on Feature Selection.- Commodity-Tra: A Traceable Transaction Scheme Based on FISCO BCOS.- A Defect Heterogeneous Risk Assessment Method with Misclassification Cost.- Squeeze-Loss: A Utility-Free Defense Against Membership Inference Attacks.- Blockchain and its applications.- Improved WAVE Signature and Apply to Post-Quantum Blockchain.- Secure Government Data Sharing Based on Blockchain and Attribute-Based Encryption.- Secure Data Storage Scheme of Judicial System based on Blockchain.- Judicial Evidence Storage Scheme Based on Smart Contract.
Bibliographische Angaben
- 2022, 1st ed. 2022, XIII, 366 Seiten, 96 farbige Abbildungen, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Xiaofeng Chen, Xinyi Huang, Miroslaw Kutylowski
- Verlag: Springer, Berlin
- ISBN-10: 9811972419
- ISBN-13: 9789811972416
Sprache:
Englisch
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