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Emerging Information Security and Applications: 4th International Conference, EISA 2023, Hangzhou, China, December 67, 2023, Proceedings 1st ed. 2024 [Mīkstie vāki]

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  • Formāts: Paperback / softback, 185 pages, height x width: 235x155 mm, weight: 314 g, 35 Illustrations, color; 13 Illustrations, black and white; XII, 185 p. 48 illus., 35 illus. in color., 1 Paperback / softback
  • Sērija : Communications in Computer and Information Science 2004
  • Izdošanas datums: 04-Jan-2024
  • Izdevniecība: Springer Verlag, Singapore
  • ISBN-10: 9819996139
  • ISBN-13: 9789819996131
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  • Formāts: Paperback / softback, 185 pages, height x width: 235x155 mm, weight: 314 g, 35 Illustrations, color; 13 Illustrations, black and white; XII, 185 p. 48 illus., 35 illus. in color., 1 Paperback / softback
  • Sērija : Communications in Computer and Information Science 2004
  • Izdošanas datums: 04-Jan-2024
  • Izdevniecība: Springer Verlag, Singapore
  • ISBN-10: 9819996139
  • ISBN-13: 9789819996131
Citas grāmatas par šo tēmu:
This volume constitutes the proceedings presented at the 4th International Conference on Emerging Information Security and Applications, EISA 2023, held in Hangzhou, China, in December 2023. 

The 11 full papers presented in this volume were thoroughly reviewed and selected from the 35 submissions. The topics of the book are related but not limited  to cyber intelligence techniques, multimedia security, blockchain and distributed ledger technology, malware and unwanted software, vulnerability analysis and reverse engineering, usable security and privacy, intrusion detection and prevention, authentication and access control, anonymity and privacy, cryptographic protection, digital forensics, cyber physical systems security, adversarial learning, security measurement, security management and policies, hardware and physical security.
PtbStolen: Pre-trained Encoder Stealing Through Perturbed
Samples.- Towards Efficient Universal Adversarial Attack on Audio
Classification Models: A Two-step Method.- Privacy-Preserving Authenticated
Federated Learning Scheme for Smart Healthcare System.- A Systematic Method
for Constructing ICT Supply Chain Security Requirements.- Pairing Compression
on Some Elliptic Curves with Subgroups of Embedding Degree 6 and its
Applications to Pairing-based Cryptography.- Enhancing Chinese Named Entity
Recognition with Disentangled Expert Knowledge.- Deep Neural Network Model
over Encrypted Data.- Privacy Protection Mechanism for Fair Federated
Learning.- Chinese Named Entity Recognition within the Electric Power
Domain.- Adversarial Sampling Attacks and Defense in DNS Data
Exfiltration.- CONNECTION: COvert chaNnel NEtwork attaCk Through bIt-rate
mOdulatioN.