Artificial Intelligence and Quantum Cryptography
The technological advancements made in recent times, particularly in Artificial Intelligence (AI) and Quantum Computing, have brought about significant changes in technology. These advancements have profoundly impacted quantum cryptography, a field where AI methodologies hold tremendous potential to enhance the efficiency and robustness of cryptographic systems. However, the emergence of quantum computers has created a new challenge for existing security algorithms, commonly called the 'quantum threat'. Despite these challenges, there are promising avenues for integrating neural network-based AI in cryptography, which has significant implications for future digital security paradigms. This summary highlights the key themes in the intersection of AI and quantum cryptography, including the potential benefits of AI-driven cryptography, the challenges that need to be addressed, and the prospects of this interdisciplinary research area.
History
Usage metrics
Categories
- Artificial life and complex adaptive systems
- Autonomous agents and multiagent systems
- Evolutionary computation
- Fuzzy computation
- Intelligent robotics
- Modelling and simulation
- Knowledge representation and reasoning
- Natural language processing
- Planning and decision making
- Satisfiability and optimisation
- Speech production
- Speech recognition
- Cryptography
- Data and information privacy
- Data security and protection
- Digital forensics
- Hardware security
- Software and application security
- System and network security
- Cybersecurity and privacy not elsewhere classified