Overview
- Focuses on the design and analysis of contact tracing applications from cryptologic viewpoint
- Points out the possible research directions toward the security evaluation of existing contact tracing applications
- Analyzes the design of contact tracing applications developed in different countries
- Offers a link between very recent efforts in COVID-19 scenario and a brief contextual literature review in this field
- Discusses the issues of security and privacy—an important challenge in the domain of computer and communication sciences
Part of the book series: Indian Statistical Institute Series (INSIS)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (4 chapters)
Keywords
About this book
Authors and Affiliations
About the authors
PRANAB CHAKRABORTY is Senior Manager at the Learning and Development team of Wipro Limited, Bengaluru, India. He earned his graduate degree in computer science from the Indian Statistical Institute, Kolkata, India, and undergraduate degree in electronics and telecommunications engineering from Jadavpur University, Kolkata, India. He has implemented various network protocol stacks including TCP/IP and played different organizational roles including that of a technical architect and technical delivery manager apart from his current involvement in the behavioral and leadership development field. He has a special interest in the research areas of cryptology.
SUBHAMOY MAITRA is Senior Professor at the Applied Statistics Unit of the Indian Statistical Institute, Kolkata, India. He earned his Ph.D. and graduate degree in computer science from the Indian Statistical Institute, Kolkata, India, and undergraduate degree in electronics and telecommunications engineering from Jadavpur University, Kolkata, India. Post working in the domain of hardware and software engineering for a few years, Prof. Maitra joined the Indian Statistical Institute, Kolkata, as a faculty in 1997. Having around 6000 citations to his name, Prof. Maitra has authored several books and around 200 research papers in the area of cryptology and quantum information.
MRIDUL NANDI is Professor at the Applied Statistics Unit of the Indian Statistical Institute, Kolkata, India. Earlier, he worked for the National Institute of Standards and Technology (NIST), USA, as one of the technical members in the selection process of the SHA3 hash function. His research areas focus on different aspects of cryptography, including hash functions, MAC, authenticated encryption, identity (or attribute) based encryption, IoT, hardware implementation and lightweight cryptography. He is the co-designer of COLM (authenticated encryption), selected as a winner in the security category of CAESAR portfolio. Algorithms ofhis designed 10 lightweight ciphers were selected for the second round of NIST lightweight standard process. He actively publishes papers in top tier conferences like Eurocrypt, Crypto, Asiacrypt, FSE and renowned journals.
SUPRITA TALNIKAR is Senior Research Fellow at the Applied Statistics Unit of the Indian Statistical Institute, Kolkata, India. She is pursuing her Ph.D. in Computer Science, under the supervision of Prof. Mridul Nandi. She completed her M.Sc. in Mathematics from Visvesvaraya National Institute of Technology, Nagpur, India, with a gold medal, and her B.Sc. in Physics, Computer Science and Mathematics from Rashtrasant Tukadoji Maharaj Nagpur University, Nagpur, India. Her research focuses on various areas of cryptography, with particular interest in provable security and cryptanalysis in symmetric key cryptography.
Bibliographic Information
Book Title: Contact Tracing in Post-Covid World
Book Subtitle: A Cryptologic Approach
Authors: Pranab Chakraborty, Subhamoy Maitra, Mridul Nandi, Suprita Talnikar
Series Title: Indian Statistical Institute Series
DOI: https://doi.org/10.1007/978-981-15-9727-5
Publisher: Springer Singapore
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2020
Hardcover ISBN: 978-981-15-9726-8Published: 17 November 2020
Softcover ISBN: 978-981-15-9729-9Published: 17 November 2021
eBook ISBN: 978-981-15-9727-5Published: 16 November 2020
Series ISSN: 2523-3114
Series E-ISSN: 2523-3122
Edition Number: 1
Number of Pages: XVI, 135
Number of Illustrations: 4 b/w illustrations
Topics: Computer Science, general, Cryptology, Public Health, Health Care Management