1 option
Cyber Security Cryptography and Machine Learning : Third International Symposium, CSCML 2019, Beer-Sheva, Israel, June 27-28, 2019, Proceedings / edited by Shlomi Dolev, Danny Hendler, Sachin Lodha, Moti Yung.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- LNCS sublibrary. Security and cryptology ; SL 4, 11527
- Security and Cryptology ; 11527
- Language:
- English
- Subjects (All):
- Data protection.
- Computer networks.
- Computer networks-Security measures.
- Cryptography.
- Data encryption (Computer science).
- Computers-Law and legislation.
- Information technology-Law and legislation.
- Computers and civilization.
- Data and Information Security.
- Computer Communication Networks.
- Mobile and Network Security.
- Cryptology.
- Legal Aspects of Computing.
- Computers and Society.
- Local Subjects:
- Data and Information Security.
- Computer Communication Networks.
- Mobile and Network Security.
- Cryptology.
- Legal Aspects of Computing.
- Computers and Society.
- Physical Description:
- 1 online resource (XIII, 330 pages) : 141 illustrations, 76 illustrations in color.
- Edition:
- 1st ed. 2019.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2019.
- System Details:
- text file PDF
- Summary:
- This book constitutes the refereed proceedings of the Third International Symposium on Cyber Security Cryptography and Machine Learning, CSCML 2019, held in Beer-Sheva, Israel, in June 2019. The 18 full and 10 short papers presented in this volume were carefully reviewed and selected from 36 submissions. They deal with the theory, design, analysis, implementation, or application of cyber security, cryptography and machine learning systems and networks, and conceptually innovative topics in these research areas.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-20951-3
- 9783030209513
- Access Restriction:
- Restricted for use by site license.
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.