Innovative machine learning applications for cryptography
Data security is paramount in our modern world, and the symbiotic relationship between machine learning and cryptography has recently taken center stage. The vulnerability of traditional cryptosystems to human error and evolving cyber threats is a pressing concern. The stakes are higher than ever, a...
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| Sprache: | English |
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IGI Global
2024
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| 245 | 1 | 0 | |a Innovative machine learning applications for cryptography |c J. Anitha Ruth, G.V. Mahesh Vijayalakshmi, P. Visalakshi, R. Uma, A. Meenakshi, editors |
| 264 | 1 | |a Hershey, Pennsylvania |b IGI Global |c 2024 | |
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| 520 | |a Data security is paramount in our modern world, and the symbiotic relationship between machine learning and cryptography has recently taken center stage. The vulnerability of traditional cryptosystems to human error and evolving cyber threats is a pressing concern. The stakes are higher than ever, and the need for innovative solutions to safeguard sensitive information is undeniable.Innovative Machine Learning Applications for Cryptography emerges as a steadfast resource in this landscape of uncertainty. Machine learning's prowess in scrutinizing data trends, identifying vulnerabilities, and constructing adaptive analytical models offers a compelling solution. The book explores how machine learning can automate the process of constructing analytical models, providing a continuous learning mechanism to protect against an ever-increasing influx of data.This book goes beyond theoretical exploration, and provides a comprehensive resource designed to empower academic scholars, specialists, and students in the fields of cryptography, machine learning, and network security. Its broad scope encompasses encryption, algorithms, security, and more unconventional topics like Quantum Cryptography, Biological Cryptography, and Neural Cryptography. By examining data patterns and identifying vulnerabilities, it equips its readers with actionable insights and strategies that can protect organizations from the dire consequences of security breaches. | ||
| 650 | 4 | |a Data encryption (Computer science) | |
| 650 | 4 | |a Machine learning | |
| 700 | 1 | |a Meenakshi, A. |4 edt | |
| 700 | 1 | |a Ruth, J. Anitha |4 edt | |
| 700 | 1 | |a Uma, R. |4 edt | |
| 700 | 1 | |a Vijayalakshmi, G.V. Mahesh |4 edt | |
| 700 | 1 | |a Visalakshi, P. |4 edt | |
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Datensatz im Suchindex
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| id | DE-604.BV049645341 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T23:39:47Z |
| indexdate | 2024-07-20T04:37:25Z |
| institution | BVB |
| isbn | 9798369316436 |
| language | English |
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| publisher | IGI Global |
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| spelling | Innovative machine learning applications for cryptography J. Anitha Ruth, G.V. Mahesh Vijayalakshmi, P. Visalakshi, R. Uma, A. Meenakshi, editors Hershey, Pennsylvania IGI Global 2024 1 Online-Ressource (294 Seiten) txt rdacontent c rdamedia cr rdacarrier Data security is paramount in our modern world, and the symbiotic relationship between machine learning and cryptography has recently taken center stage. The vulnerability of traditional cryptosystems to human error and evolving cyber threats is a pressing concern. The stakes are higher than ever, and the need for innovative solutions to safeguard sensitive information is undeniable.Innovative Machine Learning Applications for Cryptography emerges as a steadfast resource in this landscape of uncertainty. Machine learning's prowess in scrutinizing data trends, identifying vulnerabilities, and constructing adaptive analytical models offers a compelling solution. The book explores how machine learning can automate the process of constructing analytical models, providing a continuous learning mechanism to protect against an ever-increasing influx of data.This book goes beyond theoretical exploration, and provides a comprehensive resource designed to empower academic scholars, specialists, and students in the fields of cryptography, machine learning, and network security. Its broad scope encompasses encryption, algorithms, security, and more unconventional topics like Quantum Cryptography, Biological Cryptography, and Neural Cryptography. By examining data patterns and identifying vulnerabilities, it equips its readers with actionable insights and strategies that can protect organizations from the dire consequences of security breaches. Data encryption (Computer science) Machine learning Meenakshi, A. edt Ruth, J. Anitha edt Uma, R. edt Vijayalakshmi, G.V. Mahesh edt Visalakshi, P. edt Erscheint auch als Druck-Ausgabe 9798369316429 https://doi.org/10.4018/979-8-3693-1642-9 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Innovative machine learning applications for cryptography Data encryption (Computer science) Machine learning |
| title | Innovative machine learning applications for cryptography |
| title_auth | Innovative machine learning applications for cryptography |
| title_exact_search | Innovative machine learning applications for cryptography |
| title_exact_search_txtP | Innovative machine learning applications for cryptography |
| title_full | Innovative machine learning applications for cryptography J. Anitha Ruth, G.V. Mahesh Vijayalakshmi, P. Visalakshi, R. Uma, A. Meenakshi, editors |
| title_fullStr | Innovative machine learning applications for cryptography J. Anitha Ruth, G.V. Mahesh Vijayalakshmi, P. Visalakshi, R. Uma, A. Meenakshi, editors |
| title_full_unstemmed | Innovative machine learning applications for cryptography J. Anitha Ruth, G.V. Mahesh Vijayalakshmi, P. Visalakshi, R. Uma, A. Meenakshi, editors |
| title_short | Innovative machine learning applications for cryptography |
| title_sort | innovative machine learning applications for cryptography |
| topic | Data encryption (Computer science) Machine learning |
| topic_facet | Data encryption (Computer science) Machine learning |
| url | https://doi.org/10.4018/979-8-3693-1642-9 |
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