Information Security: Security and Cryptology
Editat de Joseph K. Liu, Sokratis Katsikas, Weizhi Meng, Willy Susilo, Rolly Intanen Limba Engleză Paperback – 27 noi 2021
The 21 full papers presented in this volume were carefully reviewed and selected from 87 submissions. The papers categorized into the following topical subheadings: cryptology; web and OS security; network security; detection of malware, attacks and vulnerabilities; and machine learning for security.
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Specificații
ISBN-13: 9783030913557
ISBN-10: 3030913554
Pagini: 432
Ilustrații: XIII, 416 p. 102 illus., 77 illus. in color.
Dimensiuni: 155 x 235 x 24 mm
Greutate: 0.65 kg
Ediția:1st edition 2021
Editura: Springer
Seria Security and Cryptology
Locul publicării:Cham, Switzerland
ISBN-10: 3030913554
Pagini: 432
Ilustrații: XIII, 416 p. 102 illus., 77 illus. in color.
Dimensiuni: 155 x 235 x 24 mm
Greutate: 0.65 kg
Ediția:1st edition 2021
Editura: Springer
Seria Security and Cryptology
Locul publicării:Cham, Switzerland
Cuprins
Cryptology.- Integer LWE with Non-Subgaussian Error and Related Attacks.- Layering Quantum-Resistance into Classical Digital Signature Algorithms.- Cryptanalysis of RSA Variants with Primes Sharing Most Significant Bits.- Cryptanalysis of Two White-Box Implementations of the SM4 Block Cipher.- A Non-Interactive Multi-User Protocol for Private Authorised Query Processing on Genomic Data.- Bigdata-facilitated Two-party Authenticated Key Exchange for IoT.- Randomized Component Based Secure Secret Reconstruction in Insecure Networks.- Transparency order of (n,m)-functions — its further characterization and applications.- Web and OS security.- Browserprint: An Analysis of the Impact of Browser Features on Fingerprintability and Web Privacy.- TridentShell: A Covert and Scalable Backdoor Injection.- Andromeda: Enabling Secure Enclaves For The Android Ecosystem.- Network security.- FEX – A feature extractor for real-time IDS.- Identifying Malicious DNS Tunnel Tools from DoH Traffic Using Hierarchical Machine Learning Classification.- Detection of malware, attacks and vulnerabilities.- Hybroid: Toward Android Malware Detection and Categorization with Program Code and Network Traffic.- A Novel Behavioural Screenlogger Detection System.- DEVA: Decentralized, Verifiable Secure Aggregation for Privacy-Preserving Learning.- DVul-WLG: Graph Embedding Network Based on Code Similarity for Cross-architecture Firmware Vulnerability Detection.- Machine learning for security.- Detect and Remove Watermark in Deep Neural Networks via Generative Adversarial Networks.- Targeted Universal Adversarial Perturbations for Automatic Speech Recognition.- Voxstructor: Voice Reconstruction from Voiceprint.- Word-Map: Using Community Detection Algorithm to Detect AGDs.