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E-raamat: Information Security: 24th International Conference, ISC 2021, Virtual Event, November 10-12, 2021, Proceedings

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This book constitutes the proceedings of the 24rd International Conference on Information Security, ISC 2021, held virtually, in November 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.  
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.
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