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| Titolo: |
Cyber Security Cryptography and Machine Learning : First International Conference, CSCML 2017, Beer-Sheva, Israel, June 29-30, 2017, Proceedings / / edited by Shlomi Dolev, Sachin Lodha
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| Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Edizione: | 1st ed. 2017. |
| Descrizione fisica: | 1 online resource (XII, 307 p. 59 illus.) |
| Disciplina: | 005.824 |
| Soggetto topico: | Data protection |
| Cryptography | |
| Data encryption (Computer science) | |
| Artificial intelligence | |
| Image processing - Digital techniques | |
| Computer vision | |
| Computer science - Mathematics | |
| Discrete mathematics | |
| Data and Information Security | |
| Cryptology | |
| Artificial Intelligence | |
| Computer Imaging, Vision, Pattern Recognition and Graphics | |
| Discrete Mathematics in Computer Science | |
| Persona (resp. second.): | DolevShlomi |
| LodhaSachin | |
| Nota di bibliografia: | Includes bibliographical references and index. |
| Sommario/riassunto: | This book constitutes the proceedings of the first International Symposium on Cyber Security Cryptography and Machine Learning, held in Beer-Sheva, Israel, in June 2017. The 17 full and 4 short papers presented include cyber security; secure software development methodologies, formal methods semantics and verification of secure systems; fault tolerance, reliability, availability of distributed secure systems; game-theoretic approaches to secure computing; automatic recovery of self-stabilizing and self-organizing systems; communication, authentication and identification security; cyber security for mobile and Internet of things; cyber security of corporations; security and privacy for cloud, edge and fog computing; cryptography; cryptographic implementation analysis and construction; secure multi-party computation; privacy-enhancing technologies and anonymity; post-quantum cryptography and security; machine learning and big data; anomaly detection and malware identification; business intelligence and security; digital forensics; digital rights management; trust management and reputation systems; information retrieval, risk analysis, DoS. |
| Titolo autorizzato: | Cyber Security Cryptography and Machine Learning ![]() |
| ISBN: | 3-319-60080-X |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910484135603321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |