Advancing Cybersecurity at the Intersection of Parallel Computing and Blockchain
Language: English
Published by IGI GLOBAL SCIENTIFIC PUBLISHING, 2026
- Softcover
- New

Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 273.89
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Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - As digital systems become interconnected, the need for robust cybersecurity solutions increases. Emerging technologies like parallel computing and blockchain transform secure computing by offering enhanced processing capabilities and decentralized trust mechanisms. Parallel computing analyzes data efficiently and executes complex security algorithms, while blockchain provides transparency in distributed environments. The convergence of these technologies strengthens cybersecurity frameworks, improves threat detection, secures data transactions, and enhances system resilience. Advancing cybersecurity at the intersection of parallel computing and blockchain may further address the challenges of modern digital infrastructures. Advancing Cybersecurity at the Intersection of Parallel Computing and Blockchain explores cutting-edge developments in networking technologies, parallel computing, cybersecurity, AI, blockchain applications, cloud computing, and emerging intelligent systems. It examines conference-tested methodologies, novel frameworks, and experimental results to strengthen international collaboration. This book covers topics such as quantum computing, blockchain, and threat modeling, and is a useful resource for engineers, security professionals, academicians, researchers, and scientists.…
Seller Inventory # 9798337390543
- Title
- Advancing Cybersecurity at the Intersection of Parallel Computing and Blockchain
- Author
- Qin Xin
- Publisher
- IGI GLOBAL SCIENTIFIC PUBLISHING
- Publication year
- 2026
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 13
- 9798337390543
- Item weight
- 996 grams
- Dimensions
- 254x178x29 mm
"Synopsis" may belong to another edition of this title.
About the Author
Qin Xin graduated with his Ph.D (1st Oct. 2002 – 30th Sep. 2004) in Department of Computer Science at University of Liverpool, UK in December 2004. Currently, he is working as a FULL professor of Computer Science in the Faculty of Science and Technology at the University of the Faroe Islands (UoFI), Faroe Islands. Prior to joining UoFI, he had held variant research positions in world leading universities and research laboratory including Senior Research Fellowship at Universite Catholique de Louvain, Belgium, Research Scientist/Postdoctoral Research Fellowship at Simula Research Laboratory, Norway and Postdoctoral Research Fellowship at University of Bergen, Norway. His main research focus is on design and analysis of sequential, parallel and distributed algorithms for various communication and optimization problems in wireless communication networks, as well as cryptography and digital currencies including quantum money. Moreover, he also investigates the combinatorial optimization problems with applications in Bioinformatics, Data Mining and Space Research. Prof. Xin also served on Management Committee Board of Denmark for several EU ICT projects. Prof. Xin has produced more than 200 peer reviewed scientific papers. His works have been published in leading international conferences and journals, such as ICALP, ACM PODC, SWAT, IEEE MASS, ISAAC, SIROCCO, IEEE ICC, Algorithmica, Theoretical Computer Science, Distributed Computing, IEEE Transactions on Computers, Journal of Parallel and Distributed Computing, IEEE Transactions on Dielectrics and Electrical Insulation, IEEE Transactions on Sustainable Computing, ACM Transactions on Internet Technology, IEEE Transactions on Network Science and Engineering, ACM Transactions on Asian and Low-Resource Language Information Processing, IEEE Transactions on Industrial Informatics, MDPI Symmetry, and Advances in Space Research. He has been very actively involved in the services for the community in terms of acting (or acted) on various positions (e.g., Session Chair, Member of Technical Program Committee, Symposium Organizer and Local Organization Co-chair) for numerous international leading conferences in the fields of distributed computing, wireless communications and ubiquitous intelligence and computing, including IEEE MASS, IEEE LCN, ACM SAC, IEEE ICC, IEEE Globecom, IEEE WCNC, IEEE VTC, IFIP NPC, IEEE Sarnoff and so on. He was the Organizing Committee Chair for the 17th and 18th Scandinavian Symposium and Workshops on Algorithm Theory (SWAT 2020 and SWAT 2022, Torshavn, Faroe Islands). Currently, he also serves on the editorial board for more than ten international journals.
Ambeth Kumar V D received his Ph.D. in Computer Science and Engineering from Sathyabama University, India, in 2013. He pursued his M.E. in Computer Science and Engineering at Annamalai University, Chidambaram, and his B.E. in Computer Science and Engineering at Madurai Kamaraj University, Madurai, Tamil Nadu, India, in 2006 and 2004, respectively. He has nearly a decade of rich experience in the field of Computer Science and is currently working as an Associate Professor and Head at Mizoram University (A Central University), Aizawl, Mizoram, India. He has contributed to various technology initiatives and has published books on Theory of Computation, Design and Analysis of Algorithms, Python Programming, and Advanced Computer Architectures. His research contributions include over 100 international journal articles, 6 national journal publications, and presentations at more than 80 national and international conferences. He is a recognized Ph.D. supervisor at Mizoram University and has successfully guided five Ph.D. scholars. He has successfully completed four funded research projects supported by prestigious national agencies such as the Defence Research and Development Organisation (DRDO), Department of Science and Technology (DST) and the University Grants Commission (UGC), focusing on advanced domains in Artificial Intelligence, Image Processing, and Data-Driven Computing. He received the Best Teacher Award from PEC in 2011 and has been recognized among the World's Top 2% Scientists by Stanford University in 2022, 2024, and 2025. He also holds 15 copyrights and 5 patents. His research areas span Image Processing, Pattern Recognition, Neural Networks, and Computer Networks, with broader interests in Computational Models, Compiler Design, Data Structures, and Microprocessors. He serves as a reviewer and editor for many reputed international journals and is a Senior IEEE Member, Life Member of ISTE, IAENG, and ACEEE.
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