He / Zhao / Yung | Science of Cyber Security | Buch | 978-981-954676-3 | www.sack.de

Buch, Englisch, Band 16211, 326 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Lecture Notes in Computer Science

He / Zhao / Yung

Science of Cyber Security

7th International Conference, SciSec 2025, Wuhan, China, August 15-17, 2025, Proceedings
Erscheinungsjahr 2026
ISBN: 978-981-954676-3
Verlag: Springer-Verlag GmbH

7th International Conference, SciSec 2025, Wuhan, China, August 15-17, 2025, Proceedings

Buch, Englisch, Band 16211, 326 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Lecture Notes in Computer Science

ISBN: 978-981-954676-3
Verlag: Springer-Verlag GmbH


This book constitutes the refereed post-conference proceedings of the 7th International Conference, on Science of Cyber Security, SciSec 2025, held in Wuhan, China, during August 15-17, 2025.

The 19 full papers presented in this volume were carefully reviewed and selected from 66 submissions. The mission of the conference was to foster a deeper understanding of, and to build a solid foundation for, the emerging science of cybersecurity. 

He / Zhao / Yung Science of Cyber Security jetzt bestellen!

Zielgruppe


Research

Weitere Infos & Material


Faster and smaller variants of binSIDH and terSIDH.- Large Language Model-Enhanced Malware Dynamic Detection Method.- Designing Steganographic Codes Based on PAC codes to Enhance Steganographic Security in Short-Cover Scenarios.- A Personalized Fuzzy Method Based on Local Differential Privacy for Location Data Publication.- Estimation of the Bounds for the Leading Term of a Double-Base Chain.- The Multiplicity of Cybersecurities. On divergent Understandings of a Contested Term.- A Privacy-Preserving and Byzantine-Resilient Federated Learning scheme in VANETs.- A Novel Dynamic Pricing Method Based on Reinforcement Learning.- LRF-KDTL: Lightweight RF Fingerprint Indentification based on Knowledge Distillation and Transfer Learning.- Binary Code Similarity Detection: A Comprehensive Review.- Better Safe Than Sorry: Case Study on Marginal Utility of Technical Cybersecurity Measures in Healthcare.- Does ChatGPT Consistently Return Secure Cryptographic API Code?.- LLM-Augmented Semantic Analysis for Hidden Web Interface Discovery in IoT Devices.- MDA-FQ: A Multidimensional Privacy-Preserving Data Aggregation Scheme with Function Query for Smart Grid.- Securing Unique Digital Name Spaces: A Comparative Risk and Strategy Analysis for Domains and Social Media.- Cryptanalysis of the PUF-Enabled UAV-Ground Station and UAVUAV Authentication Mechanism.- Intell-dragonfly: A Cybersecurity Attack Surface Generation Engine Based On Artificial Intelligence-generated Content Technology.- Efficient Adversarial Learning-based Profiled Side-channel Analysis via Source Encoder Freezing and Randomized Multilinear Mapping.- Quantum Cybercrime: Challenges in the Age of Advancing Quantum Computing Across the European Union, United States of America, and People’s Republic of China.



Ihre Fragen, Wünsche oder Anmerkungen
Vorname*
Nachname*
Ihre E-Mail-Adresse*
Kundennr.
Ihre Nachricht*
Lediglich mit * gekennzeichnete Felder sind Pflichtfelder.
Wenn Sie die im Kontaktformular eingegebenen Daten durch Klick auf den nachfolgenden Button übersenden, erklären Sie sich damit einverstanden, dass wir Ihr Angaben für die Beantwortung Ihrer Anfrage verwenden. Selbstverständlich werden Ihre Daten vertraulich behandelt und nicht an Dritte weitergegeben. Sie können der Verwendung Ihrer Daten jederzeit widersprechen. Das Datenhandling bei Sack Fachmedien erklären wir Ihnen in unserer Datenschutzerklärung.