Homomorphic Encryption and Applications

Xun Yi

ISBN 10: 3319122282 / ISBN 13: 9783319122281

Verlag: Springer International Publishing, Springer Nature Switzerland, 2014

Beschreibung

Druck auf Anfrage Neuware - Printed after ordering - This book introduces the fundamental concepts of homomorphic encryption. From these foundations, applications are developed in the fields of private information retrieval, private searching on streaming data, privacy-preserving data mining, electronic voting and cloud computing. The content is presented in an instructional and practical style, with concrete examples to enhance the reader's understanding. This volume achieves a balance between the theoretical and the practical components of modern information security. Readers will learn key principles of homomorphic encryption as well as their application in solving real world problems.

Bestandsnummer des Verkäufers 9783319122281

Bibliografische Details

• Titel: Homomorphic Encryption and Applications
• Verlag: Springer International Publishing, Springer Nature Switzerland
• Erscheinungsjahr: 2014
• Sprache: Englisch
• ISBN-10: 3319122282
• ISBN-13: 9783319122281
• Einband: Taschenbuch
• Zustand: Neu
• Abmessungen: 235B x 155 H x 8 T Millimeter Breite: 235 mm, Höhe: 155 mm, Tiefe: 8 mm
• Gewicht: 250 Gramm

Über diesen Titel

Inhaltsangabe

This book introduces the fundamental concepts of homomorphic encryption. From these foundations, applications are developed in the fields of private information retrieval, private searching on streaming data, privacy-preserving data mining, electronic voting and cloud computing. The content is presented in an instructional and practical style, with concrete examples to enhance the reader's understanding. This volume achieves a balance between the theoretical and the practical components of modern information security. Readers will learn key principles of homomorphic encryption as well as their application in solving real world problems.

Über die Autorin bzw. den Autor

Xun Yi is a Professor with the School of Computing Technologies, RMIT University, Australia. His research interests include data privacy protection, cloud and IoT security, blockchain, network security, and applied cryptography. He has published over 300 research papers in international journals and conference proceedings. He serves as an Associate Editor for IEEE Transactions on Dependable and Secure Computing, IEEE Transactions on Knowledge and Data Engineering, ACM Computing Surveys, and Information Sciences. Xuechao Yang is a Lecturer at the School of Computing Technologies, RMIT University, Australia. He holds a bachelor’s degree in Information Technology from RMIT (2013) and a bachelor’s degree in Computer Science with Honours (2014). He earned his Ph.D. from RMIT in 2018. His research interests include cryptosystems, privacy preservation, and blockchain technology. Xiaoning Liu (Member, IEEE) is a Lecturer at the School of Computing Technologies, RMIT University, Australia. Her research focuses on secure computation protocols and privacy-preserving machine learning. She earned her Ph.D. in Computer Science from RMIT in 2022. Her work has appeared in IEEE TDSC, IEEE TIFS, ESORICS, and USENIX Security. She received the Best Paper Award at ESORICS 2021. Andrei Kelarev is a Research Fellow at the University of Newcastle, Australia. He is the author of two books and 198 journal articles. He previously served as Associate Professor at the University of Wisconsin and University of Nebraska (USA), and as a Senior Lecturer at the University of Tasmania. He was Chief Investigator for a major Discovery Grant from the Australian Research Council. His research involves cybersecurity applications of machine learning and data mining. Kwok-Yan Lam (Senior Member, IEEE) received the B.Sc. degree (Hons.) from the University of London in 1987 and the Ph.D. degree from the University of Cambridge in 1990. He is Associate Vice President (Strategy and Partnerships) and Professor at the College of Computing and Data Science, NTU Singapore. He directs the Strategic Centre for Research in Privacy-Preserving Technologies and Systems. Since 2020, he has been a consultant on cyber and technology innovation for INTERPOL. He was previously Professor at Tsinghua University (2002–2010) and faculty at NUS and the University of London. His research areas include distributed systems, IoT security, blockchain protocols, homeland security, and cybersecurity. Mengmeng Yang received her Ph.D. in Computer Science from Deakin University, Australia, in 2019. She is a Research Scientist at Data61, CSIRO, Australia. Previously, she was a Research Fellow at the Strategic Centre for Research in Privacy-Preserving Technologies and Systems (SCRiPTS), NTU Singapore. Her research interests include privacy preservation, data mining, and network security. Xiangning Wang received the B.Sc. degree from Peking University in 2016 and the Ph.D. degree in Computer Science from the University of Hong Kong in 2021. He is a Research Fellow at NTU Singapore. His research interests include privacy-preserving machine learning and differential privacy. Elisa Bertino is a Samuel Conte Distinguished Professor of Computer Science at Purdue University. Her research focuses on data privacy and computer security. She has authored or co-authored over 250 journal articles, 450 conference papers, 9 books, and 35 edited volumes, with more than 300 collaborators. She served as co-editor-in-chief of the GeoInformatica Journal and VLDB Journal and as program chair for ICDE 1998, ECOOP 2000, SACMAT 2002, and EDBT 2004. She is currently Vice President of ACM.