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Emerging Information Security and Applications 5th International Conference, EISA 2024, Changzhou, China, October 18–19, 2024, Proceedings /

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 selecte...

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Sonraí bibleagrafaíochta
Údar corparáideach: SpringerLink (Online service)
Rannpháirtithe: Li, Wenjuan (Eagarthóir), Chen, Liqun (Eagarthóir), Lopez, Javier (Eagarthóir)
Formáid: Leictreonach Ríomhleabhar
Teanga:Béarla
Foilsithe / Cruthaithe: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Eagrán:1st ed. 2025.
Sraith:Communications in Computer and Information Science, 2266
Ábhair:
Computer engineering.
Computer networks .
Cryptography.
Data encryption (Computer science).
Artificial intelligence.
Data protection.
Computer networks > Security measures.
Computer Engineering and Networks.
Cryptology.
Artificial Intelligence.
Data and Information Security.
Mobile and Network Security.
Rochtain ar líne:https://doi.org/10.1007/978-3-031-80419-9
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Clár na nÁbhar:
  • -- 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.

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