The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Future Outlook: Synergies Between Advanced AI and Cryptographic Research
|
|
Author(s): Dankan Gowda V. (BMS Institute of Technology and Management, India), Joohi Garg (Mody University of Science and Technology, India), Shaifali Garg (Amity Business School, Amity University, Gwalior, India), K. D. V. Prasad (Symbiosis Institute of Business Management, Symbiosis International University, India)and Sampathirao Suneetha (Andhra University College of Engineering, Andhra University, India)
Copyright: 2024
Pages: 20
Source title:
Innovative Machine Learning Applications for Cryptography
Source Author(s)/Editor(s): J. Anitha Ruth (SRM Institute of Science and Technology, India), G.V. Mahesh Vijayalakshmi (BMS Institute of Technology and Management, India), P. Visalakshi (SRM Institute of Science and Technology, India), R. Uma (Sri Sai Ram Engineering College, India)and A. Meenakshi (SRM Institute of Science and Technology, India)
DOI: 10.4018/979-8-3693-1642-9.ch002
Purchase
|
Abstract
Artificial intelligence (AI) and cryptography have recently made rapid progress respectively, forming a surprising mutual relationship. With the development of AI, it is now evolving to a point where an AI can study and even design cryptography systems. Cryptographic researchers are continually bringing out new ways to protect AI infrastructures from the ever-changing nature of attack, however. So, in this area, the authors examine the future topography and consider various possible ways these two breaking fields of study could meet up. Meanwhile, quantum computing and neuromorphic technology could push advanced AI further than any computer has been able to go before. On the one hand, cryptographic methods also help keep AI models open, safe, and within legal privacy regulations even facing attack. In a nutshell, cutting-edge AI and cryptography research are together reinventing the frontier of internet security within artificial intelligence. What lies ahead? This chapter lays out the problems and prospects of this exciting intersection.
Related Content
|
Preeti Mariam Mathews, Anjali Sandeep Gaikwad, Mathu Uthaman, B. Sreelekshmi, V. Dankan Gowda.
© 2024.
26 pages.
|
|
Dankan Gowda V., Joohi Garg, Shaifali Garg, K. D. V. Prasad, Sampathirao Suneetha.
© 2024.
20 pages.
|
|
K. Sriprasadh.
© 2024.
24 pages.
|
|
R. Valarmathi, R. Uma, P. Ramkumar, Srivatsan Venkatesh.
© 2024.
20 pages.
|
|
R. Jayashree, J. Venkata Subramanian.
© 2024.
14 pages.
|
|
M. Indira, K. S. Mohanasundaram, M. Saranya.
© 2024.
14 pages.
|
|
R. Thenmozhi, D. Vetriselvi, A. Arokiaraj Jovith.
© 2024.
26 pages.
|
|
|