東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Emerging information security and ap...

Emerging Information Security and Applications (Symposium) (2024 :)

Linked to FindBook

Google Book

Amazon

博客來

Emerging information security and applications = 5th International Conference, EISA 2024, Changzhou, China, October 18-19, 2024 : proceedings /

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

Emerging information security and applications = 5th International Conference, EISA 2024, Changzhou, China, October 18-19, 2024 : proceedings /
Emerging information security and applications5th International Conference, EISA 2024, Changzhou, China, October 18-19, 2024 : proceedings /[electronic resource] :EISA 2024edited by Wenjuan Li, Liqun Chen, Javier Lopez. - Cham :Springer Nature Switzerland :2025. - xii, 256 p. :ill. (chiefly color), digital ;24 cm. - Communications in computer and information science,22661865-0937 ;. - Communications in computer and information science ;2266..

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.

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. The topics covered adversarial techniques, intrusions that may threaten the security of various assets, including information and applications, have become more complex.

ISBN: 9783031804199

Standard No.: 10.1007/978-3-031-80419-9doiSubjects--Topical Terms:

678562
Data protection
--Congresses.

LC Class. No.: QA76.9.A25

Dewey Class. No.: 005.8

Emerging information security and applications = 5th International Conference, EISA 2024, Changzhou, China, October 18-19, 2024 : proceedings /
LDR:03120nmm a2200349 a 4500 001 2408503
003 DE-He213
005 20250117115232.0
006 m d
007 cr nn 008maaau
008 260204s2025 sz s 0 eng d
020 $a 9783031804199 $q (electronic bk.)
020 $a 9783031804182 $q (paper)
024 7 $a 10.1007/978-3-031-80419-9 $2 doi
035 $a 978-3-031-80419-9
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.A25
072 7 $a UK $2 bicssc
072 7 $a COM067000 $2 bisacsh
072 7 $a UK $2 thema
082 0 4 $a 005.8 $2 23
090 $a QA76.9.A25 $b E53 2024
111 2 $a Emerging Information Security and Applications (Symposium) $n (5th : $d 2024 : $c Changzhou, China) $3 3781020
245 1 0 $a Emerging information security and applications $h [electronic resource] : $b 5th International Conference, EISA 2024, Changzhou, China, October 18-19, 2024 : proceedings / $c edited by Wenjuan Li, Liqun Chen, Javier Lopez.
246 3 $a EISA 2024
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2025.
300 $a xii, 256 p. : $b ill. (chiefly color), digital ; $c 24 cm.
490 1 $a Communications in computer and information science, $x 1865-0937 ; $v 2266
505 0 $a 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.
520 $a 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. The topics covered adversarial techniques, intrusions that may threaten the security of various assets, including information and applications, have become more complex.
650 0 $a Data protection $x Congresses. $3 678562
650 0 $a Computer networks $x Security measures $x Congresses. $3 582085
650 1 4 $a Computer Engineering and Networks. $3 3538504
650 2 4 $a Cryptology. $3 3382308
650 2 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Data and Information Security. $3 3538510
650 2 4 $a Mobile and Network Security. $3 3382377
700 1 $a Li, Wenjuan. $3 3601897
700 1 $a Chen, Liqun. $3 900130
700 1 $a Lopez, Javier. $3 840578
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Communications in computer and information science ; $v 2266. $3 3781021
856 4 0 $u https://doi.org/10.1007/978-3-031-80419-9
950 $a Computer Science (SpringerNature-11645)