
eBook - ePub
Quantum-Safe Cryptography Algorithms and Approaches
Impacts of Quantum Computing on Cybersecurity
- 344 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Quantum-Safe Cryptography Algorithms and Approaches
Impacts of Quantum Computing on Cybersecurity
About this book
Quantum computers have demonstrated that they have the inherent potential to outperform classical computers in many areas. One of the major impacts is that the currently available cryptography algorithms are bound to no longer hold once quantum computers are able to compute at full speed. This book presents an overview of all the cross-disciplinary developments in cybersecurity that are being generated by the advancements in quantum computing.
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Yes, you can access Quantum-Safe Cryptography Algorithms and Approaches by Satya Prakash Yadav, Raghuraj Singh, Vibhash Yadav, Fadi Al-Turjman, Swarn Avinash Kumar, Satya Prakash Yadav,Raghuraj Singh,Vibhash Yadav,Fadi Al-Turjman,Swarn Avinash Kumar in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Title Page
- Copyright
- Contents
- Biographies
- List of contributors
- 1 Optimizing the traffic flow in VANETs using deep quantum annealing
- 2 Quantum annealing-based routing in UAV network
- 3 Cyberbullying detection of social network tweets using quantum machine learning
- 4 AI-driven cybersecurity modeling using quantum computing for mitigation of attacks in IOT-SDN network
- 5 Machine learning-based quantum modeling to classify the traffic flow in smart cities
- 6 IoT attack detection using quantum deep learning in large-scale networks
- 7 Quantum transfer learning to detect passive attacks in SDN-IOT
- 8 Intrusion detection framework using quantum computing for mobile cloud computing
- 9 Fault-tolerant mechanism using intelligent quantum computing-based error reduction codes
- 10 Study of quantum computing for data analytics of predictive and prescriptive analytics models
- 11 A review of different techniques and challenges of quantum computing in various applications
- 12 Review and significance of cryptography and machine learning in quantum computing
- 13 An improved genetic quantum cryptography model for network communication
- 14 Code-based post-quantum cryptographic technique: digital signature
- 15 Post-quantum cryptography for the detection of injection attacks in small-scale networks
- 16 RSA security implementation in quantum computing for a higher resilience
- 17 Application of quantum computing for digital forensic investigation
- 18 Modern healthcare system: unveiling the possibility of quantum computing in medical and biomedical zones
- 19 Quantum computing-assisted machine learning to improve the prediction of cardiovascular disease in healthcare system
- 20 Mitigating the risk of quantum computing in cyber security era
- 21 IoMT-based data aggregation using quantum learning
- Index