Quantum Computing, Cyber Security and Cryptography: Issues, Technologies, Algorithms, Programming and Strategies - Couverture rigide

Couverture rigide

ISBN 10 : 9819649471 ISBN 13 : 9789819649471

Editeur : Springer Nature Switzerland AG, 2025

Synopsis

This book examines the fundamentals of quantum computing and its applications in codebreaking and hacking, as well as strategies and technologies for defending systems against quantum attacks. It brings together leading experts from across academia and industry to provide a comprehensive overview of the impacts of quantum computing on cybersecurity and cryptography. As quantum computers become more powerful and practical in the coming years, they pose a serious threat to current encryption and cybersecurity methods which rely on computational difficulty. The book provides readers with a holistic understanding of the quantum computing landscape and its implications on information security.

The chapters cover the foundational concepts of quantum mechanics and key quantum algorithms relevant to cryptography and cybersecurity. Detailed discussions on quantum cryptanalysis, post-quantum cryptography, quantum key distribution, and quantum random number generation equip readers with technical knowledge of quantum-safe cryptosystems. Practical topics such as quantum programming, software tools, and implementation of quantum-resistant solutions in different sectors like finance, healthcare, and the Internet of Things provide actionable insights for organizations. The book concludes with an analysis of collaborative strategies, policies and future research directions to foster innovation in quantum-safe cybersecurity. Overall, this book serves as an essential reference for security professionals, researchers, students, and technology leaders interested in preparing systems and data for the quantum computing era.

A propos du livre

À propos de l?auteur

S.B. Goyal is Director of the Faculty of Information Technology, City University, Malaysia. He has completed his Ph.D. degree in computer science and engineering from Banasthali University, Rajasthan, India, in 2012 and served many institutions in several academic and administrative positions. He is serving as Reviewer and Guest Editor in many international journals published by IEEE, Inderscience, IGI Global and Springer Nature. He is contributing as Editor and Co-editor for many Scopus-indexed books. An IEEE senior member since 2013, he has contributed to many SCI- and Scopus-indexed journals and conferences. He holds more than 10 international patents and copyrights from Australia, Germany, Japan and India. He had received many academic excellence awards at the national and international levels.

Vidyapati Kumar is a Ph.D. scholar at the Department of Mechanical Engineering at the Indian Institute of Technology (IIT), Kharagpur, India. He completed his ME in Production Engineering from Jadavpur University, Kolkata, India, in 2018, and his B. Tech. in Mechanical Engineering from the Maulana Abul Kalam Azad University of Technology, Kolkata, India, in 2016. Before embarking on his Ph.D. journey, he gained valuable research experience over a period of two years as Project Assistant at the CSIR-Central Institute of Mining and Fuel Research, working on a project funded by Coal India Limited. He has published several SCI- and Scopus-indexed journals, edited books, conference proceedings and book chapters. In addition, he has obtained both an Australian patent and an Indian patent for his innovative research.

Sardar M. N. Islam (Naz) is Professor of artificial intelligence (AI) at the Institute for Sustainable Industries and Liveable Cities (ISILC), Victoria University in Melbourne, Australia. He also is Distinguished Visiting Professor of AI at UniSri and Adjunct Professor of IT and Business at Armstrong Institute in Melbourne. He is Distinguished Scientist with a high international reputation and appreciation, he has contributed to various academic fields. He earned his Ph.D. degree from the University of Tasmania, Australia, in 1992. His doctoral thesis focused on the application of artificial intelligence (AI) and mathematical multi-level optimization in energy planning.

Deepika Ghai is Assistant Professor at the School of Electronics and Electrical Engineering, Lovely Professional University, Phagwara, Punjab, India. She has completed her Ph.D. degree in the area of signal and image processing from Punjab Engineering College, India. She did her M. Tech. in VLSI design and CAD from Thapar University, Patiala, and her B. Tech. in electronics and communications engineering from Rayat Institute of Engineering and Technology, Ropar.

Détails de l'édition

• Éditeur: Springer Nature Switzerland AG
• Date d'édition: 2025
• Langue: anglais
• ISBN 10: 9819649471
• ISBN 13: 9789819649471
• Reliure: Relié
• Nombre de pages: 514
• Éditeur: Goyal S. B., Kumar Vidyapati, Islam Sardar M. N., Ghai Deepika
• Coordonnées du fabricant: KINESIS; https://www.also.com/ec/cms5/en_6000/6000/index.jsp; ; Friedrich-Karl-Str. 9; Hamburg; 22391; Allemagne