Quantum-safe cryptography algorithms and approaches : impacts of quantum computing on cybersecurity ; Edited by Satya Prakash Yadav [and four others].

Material type: TextTextSeries: Quantum ComputingPublisher: Berlin ; Boston : De Gruyter, [2023]Description: xvii, 326 pages : illustrations ; 25 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 9783110798005; 311079800XSubject(s): Quantum cryptographyDDC classification: 652.8, CRY LOC classification: QA268 | .Q36 2023
Contents:
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).
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Item type Current location Home library Shelving location Call number Status Notes Date due Barcode Item holds
Book Book Military College of Signals (MCS)
Military College of Signals (MCS)
General Stacks 652.8,CRY (Browse shelf) Available Almirah No.42, Shelf No.4 MCS38786
Total holds: 0

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).








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