Quantum-Safe Cryptography Algorithms and Approaches
-
Edited by:
Satya Prakash Yadav
, Raghuraj Singh , Vibhash Yadav , Fadi Al-Turjman and Swarn Avinash Kumar
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.
- Covers all most recent developments at the interesection of Quantum Computing and Cryptography.
- Presents both theoretical aspects and applications.
- Contributions written by both academic experts and industry professionalis in quantum computing.
Author / Editor information
Dr. Satya Prakash Yadav
Associate Professor
Department of Computer Science and Engineering, GL Bajaj Institute of Technology and Management, Greater Noida, India;
Graduate Program in Telecommunications Engineering. (PPGET), Federal Institute of Education, Science, and Technology of Ceará (IFCE), Fortaleza-CE, Brazil.
Dr. Satya Prakash Yadav is currently the Associate Professor of the Department of Computer Science and Engineering, G.L. Bajaj Institute of Technology and Management (GLBITM), Greater Noida (India) and perusing Postdoctoral Research Fellow under the supervision Prof. (Dr.) Victor Hugo C. de Albuquerque, from Federal Institute of Education, Science and Technology of Ceará, Brazil. He has awarded his PhD degree from Dr. A.P.J. Abdul Kalam Technical University (AKTU) (formerly UPTU). Currently, 3 students are working for Ph.D. under my guidance. A seasoned academician having more than 17 years of experience, he has published four books (Programming in C, Programming in C++ and Blockchain and Cryptocurrency) under I.K. International Publishing House Pvt. Ltd. Including Distributed Artificial Intelligence: A Modern Approach, Published December 18, 2020 by CRC Press. He has undergone industrial training programs during which he was involved in live projects with companies in the areas of SAP, Railway Traffic Management Systems, and Visual Vehicles Counter and Classification (used in the Metro rail network design). He is an alumnus of Netaji Subhas Institute of Technology (NSIT), Delhi University. A prolific writer, Dr. Satya Prakash Yadav has published two patents and authored many research papers in web of science indexed journals. Additionally, he has presented research papers at many conferences in the areas of Image Processing, Information retrieval, Features extraction and Programming, such Digital Image Processing, Feature Extraction, Information Retrieval, DSA, C++, C# and Java. Also, he is an Editor in Chief in Journal of Cyber Security in Computer System, Journal of IoT Security and Smart Technologies (MAT journals), Series Editor in Bentham Science and Lead Editor in De Gruyter Academic Publishing, CRC Press, Taylor and Francis Group Publisher (U.S.A), Tech Science Press (Computer Systems Science and Engineering), International Springer Publisher, Science Publishing Group, (U.S.A), and Eureka Journals, Pune (India).
Dr. Raghuraj Singh
Professor, Department of Computer Science and Engineering, School of Engineering;
Dean, Planning and Resource Generation, Harcourt Butler Technical University, Kanpur, India;
Ex. Director, Kamla Nehru Institute of Technology, Sultanpur (UP), India.
He is a B.Tech. (CSE), M.S. (Software Systems) and Ph.D. in Computer Science and Engineering from U.P. Technical University. He has about 23 years of experience in teaching. Currently, he is HOD C.S.E in HBTU Kanpur. He has guided 7 PhDs and 17 M.Techs and several B.E./B.Tech projects. He is the Chairman, Kanpur Chapter, CSI, Life Member of ISTE, Member of the Institution of Engineers (India), Fellow Member of IETE, Professional member of ACM and Senior Member of International Association of IACSIT. He has more than 80 papers in National / International Conferences and Journals to his credit.
Dr. Vibhash Yadav
Associate Professor
Department of Information Technology,
Rajkiya Engineering College, Banda, India
Dr. Vibhash Yadav is a B.Tech. (CSE) from C.S.J.M University, Kanpur, M.Tech in (C.S.E) from Maharshi Dayanand University, Rohtak and Ph.D. in Computer Science and Engineering from Uttrakhand Technical University, Dehradun. He has about 14 years of experience in teaching. Currently, he is Associate Professor and Head in I.T Dept. of Rajkiya Engineering College, Banda. He is Member of CSI, IEEE etc. Dr. Yadav is also reviewer of number of reputed journals/Conferences and has more than 40 papers in National / International Conferences and Journals to his credit. Additionally, Prof. Yadav is supervising number of PhD/M.Tech students.
Prof. Dr. Fadi Al-Turjman received his Ph.D. in computer science from Queen’s University, Canada, in 2011. He is the Associate Dean for Research and the Founding Director of the International Research Center for AI and IoT at Near East University, Nicosia, Cyprus. Prof. Al-Turjman is the head of Artificial Intelligence Engineering Department, and a leading authority in the areas of smart/intelligent IoT systems, wireless, and mobile networks’ architectures, protocols, deployments, and performance evaluation in Artificial Intelligence of Things (AIoT). His publication history spans over 400 SCI/E publications, in addition to numerous keynotes and plenary talks at flagship venues. He has authored and edited more than 40 books about cognition, security, and wireless sensor networks’ deployments in smart IoT environments, which have been published by well-reputed publishers such as Taylor and Francis, Elsevier, IET, and Springer. He has received several recognitions and best paper awards at top international conferences. He also received the prestigious Best Research Paper Award from Elsevier’s Computer Communications journal for the period 2015–2018, in addition to the Top Researcher Award for 2018 at Antalya Bilim University, Turkey. Prof. Al-Turjman has led a number of international symposia and workshops in flagship communication society conferences. Currently, he serves as book series editor and the lead guest/associate editor for several top tier journals, including the IEEE Communications Surveys and Tutorials (IF 23.9) and Elsevier’s Sustainable Cities and Society (IF 7.8), in addition to organizing international conferences and symposiums on the most up to date research topics in AI and IoT.
Swarn Avinash Kumar
Applied research scientist
Meta Platforms, Inc. (previously Facebook), USA.
Mr. Swarn Avinash Kumar is an applied research scientist at Meta Platforms, Inc. (previously Facebook), USA. He has previously worked at AI divisions of Lyft, Google and Amazon as well. He has a total professional research experience of 9 years with more than 20 publications with reputed, peer-reviewed national and international journals, books, and conferences. His research area includes Artificial Intelligence (AI), computer vision, robotics, data mining, and machine learning. He has filed multiple patents in the field of AI. He has been a reviewer for Springer, IEEE, Hindawi and IET conferences. He has co-authored two books(IET and Eureka) and edited two books (published and ongoing with Institution of Engineering and Technology and Eureka Publications).
Topics
-
Download PDFPublicly Available
Frontmatter
I -
Download PDFPublicly Available
Preface
V -
Download PDFPublicly Available
Contents
VII -
Download PDFPublicly Available
Biographies
XI -
Download PDFPublicly Available
List of contributors
XIII -
Requires Authentication UnlicensedLicensed
1 Optimizing the traffic flow in VANETs using deep quantum annealing
1 -
Requires Authentication UnlicensedLicensed
2 Quantum annealing-based routing in UAV network
13 -
Requires Authentication UnlicensedLicensed
3 Cyberbullying detection of social network tweets using quantum machine learning
25 -
Requires Authentication UnlicensedLicensed
4 AI-driven cybersecurity modeling using quantum computing for mitigation of attacks in IOT-SDN network
37 -
Requires Authentication UnlicensedLicensed
5 Machine learning-based quantum modeling to classify the traffic flow in smart cities
49 -
Requires Authentication UnlicensedLicensed
6 IoT attack detection using quantum deep learning in large-scale networks
67 -
Requires Authentication UnlicensedLicensed
7 Quantum transfer learning to detect passive attacks in SDN-IOT
79 -
Requires Authentication UnlicensedLicensed
8 Intrusion detection framework using quantum computing for mobile cloud computing
97 -
Requires Authentication UnlicensedLicensed
9 Fault-tolerant mechanism using intelligent quantum computing-based error reduction codes
109 -
Requires Authentication UnlicensedLicensed
10 Study of quantum computing for data analytics of predictive and prescriptive analytics models
121 -
Requires Authentication UnlicensedLicensed
11 A review of different techniques and challenges of quantum computing in various applications
147 -
Requires Authentication UnlicensedLicensed
12 Review and significance of cryptography and machine learning in quantum computing
159 -
Requires Authentication UnlicensedLicensed
13 An improved genetic quantum cryptography model for network communication
177 -
Requires Authentication UnlicensedLicensed
14 Code-based post-quantum cryptographic technique: digital signature
193 -
Requires Authentication UnlicensedLicensed
15 Post-quantum cryptography for the detection of injection attacks in small-scale networks
207 -
Requires Authentication UnlicensedLicensed
16 RSA security implementation in quantum computing for a higher resilience
219 -
Requires Authentication UnlicensedLicensed
17 Application of quantum computing for digital forensic investigation
231 -
Requires Authentication UnlicensedLicensed
18 Modern healthcare system: unveiling the possibility of quantum computing in medical and biomedical zones
249 -
Requires Authentication UnlicensedLicensed
19 Quantum computing-assisted machine learning to improve the prediction of cardiovascular disease in healthcare system
265 -
Requires Authentication UnlicensedLicensed
20 Mitigating the risk of quantum computing in cyber security era
283 -
Requires Authentication UnlicensedLicensed
21 IoMT-based data aggregation using quantum learning
301 -
Requires Authentication UnlicensedLicensed
Index
319
-
Manufacturer information:
Walter de Gruyter GmbH
Genthiner Straße 13
10785 Berlin
productsafety@degruyterbrill.com