Quantum-safe cryptography algorithms and approaches : impacts of quantum computing on cybersecurity ;
Edited by Satya Prakash Yadav [and four others].
- xvii, 326 pages : illustrations ; 25 cm.
- Quantum Computing .
Optimizing the traffic flow in VANETs using deep quantum annealing (Page-1 ), Quantum annealingbased routing in UAV network ((Page-13), Cyberbullying detection of social network tweets using quantum machine learning (Page-25), AIdriven cybersecurity modeling using quantum computing for mitigation of attacks in IOTSDN network (Page-37), Machine learningbased quantum modeling to classify the traffic flow in smart cities (Page-49), IoT attack detection using quantum deep learning in largescale networks (Page-67), Quantum transfer learning to detect passive attacks in SDNIOT (Page-79), Intrusion detection framework using quantum computing for mobile cloud computing (Page-97), Faulttolerant mechanism using intelligent quantum computing based error reduction codes (Page-109), Study of quantum computing for data analytics of predictive and prescriptive analytics models (Page-121), A review of different techniques and challenges of quantum computing in various applications (Page-147), Review and significance of cryptography and machine learning in quantum computing (Page-159), An improved genetic quantum cryptography model for network communication digital signature (Page-177), Postquantum cryptography for the detection of injection attacks in small scale network (Page-207), RSA security implementation in quantum computing for a higher resilience (Page-219), Application of quantum computing for digital forensic investigation (Page-231), unveiling the possibility of quantum computing in medical and biomedical zones (Page-249), Quantum computing assisted machine learning to improve the prediction of cardiovascular disease in healthcare system (Page-265), Mitigating the risk of quantum computing in cyber security era (Page-283), IoMTbased data aggregation using quantum learning (Page-301).