Quantum-safe cryptography algorithms and approaches : impacts of quantum computing on cybersecurity / edited by Satya Prakash Yadav, Raghuraj Singh, Vibhash Yadav, Fadi Al-Turjmaan and Swarn Avinahs Kumar.

Format:

Book

Contributor:

Yadav, Satya Prakash, editor.

Singh, Raghuraj, editor.

Yadav, Vibhash, editor.

Al-Turjman, Fadi, editor.

Kumar, Swarn Avinash, editor.

Series:

Quantum computing.

Quantum computing

Language:

English

Subjects (All):

Quantum cryptography.

Physical Description:

1 online resource (xvii, 362 pages) : illustrations.

Edition:

1st ed.

Place of Publication:

Berlin ; Boston : De Gruyter, [2023]

Summary:

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.

Contents:

Intro

Preface

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.

Notes:

Includes bibliographical references and index.

Description based on online resource; title from PDF title page (viewed on January 16, 2024)

Description based on publisher supplied metadata and other sources.

ISBN:

9783110798159

3110798158

OCLC:

1390919443