Decentralized Contact Tracing Protocols

Digital Contact Tracing (DCT) protocols and systems usually rely upon close-range communication between handheld devices (like smartphones or tablets), primarily using the Bluetooth Low Energy (BLE) interface and a client-server mode of communication betw

  • PDF / 1,780,959 Bytes
  • 149 Pages / 453.543 x 683.15 pts Page_size
  • 80 Downloads / 202 Views

DOWNLOAD

REPORT


Pranab Chakraborty Subhamoy Maitra Mridul Nandi Suprita Talnikar

Contact Tracing in Post-Covid World A Cryptologic Approach

Indian Statistical Institute Series Editors-in-Chief Ayanendranath Basu, Indian Statistical Institute, Kolkata, India B. V. Rajarama Bhat, Indian Statistical Institute, Bengaluru, India Abhay G. Bhatt, Indian Statistical Institute, New Delhi, India Joydeb Chattopadhyay, Indian Statistical Institute, Kolkata, India S. Ponnusamy, Indian Institute of Technology Madras, Chennai, India Associate Editors Atanu Biswas, Indian Statistical Institute, Kolkata, India Arijit Chaudhuri, Indian Statistical Institute, Kolkata, India B. S. Daya Sagar, Indian Statistical Institute, Bengaluru, India Mohan Delampady, Indian Statistical Institute, Bengaluru, India Ashish Ghosh

, Indian Statistical Institute, Kolkata, India

S. K. Neogy, Indian Statistical Institute, New Delhi, India C. R. E. Raja, Indian Statistical Institute, Bengaluru, India T. S. S. R. K. Rao, Indian Statistical Institute, Bengaluru, India Rituparna Sen, Indian Statistical Institute, Chennai, India B. Sury, Indian Statistical Institute, Bengaluru, India

The Indian Statistical Institute Series publishes high-quality content in the domain of mathematical sciences, bio-mathematics, financial mathematics, pure and applied mathematics, operations research, applied statistics and computer science and applications with primary focus on mathematics and statistics. Editorial board comprises of active researchers from major centres of Indian Statistical Institute. Launched at the 125th birth Anniversary of P.C. Mahalanobis, the series will publish high-quality content in the form of textbooks, monographs, lecture notes and contributed volumes. Literature in this series are peer-reviewed by global experts in their respective fields, and will appeal to a wide audience of students, researchers, educators, and professionals across mathematics, statistics and computer science disciplines. More information about this series at http://www.springer.com/series/15910

Pranab Chakraborty Subhamoy Maitra Mridul Nandi Suprita Talnikar •



Contact Tracing in Post-Covid World A Cryptologic Approach

123



Pranab Chakraborty Learning and Development Wipro Limited Bengaluru, Karnataka, India

Subhamoy Maitra Applied Statistics Unit Indian Statistical Institute Kolkata, West Bengal, India

Mridul Nandi Applied Statistics Unit Indian Statistical Institute Kolkata, West Bengal, India

Suprita Talnikar Applied Statistics Unit Indian Statistical Institute Kolkata, West Bengal, India

ISSN 2523-3114 ISSN 2523-3122 (electronic) Indian Statistical Institute Series ISBN 978-981-15-9726-8 ISBN 978-981-15-9727-5 (eBook) https://doi.org/10.1007/978-981-15-9727-5 Mathematics Subject Classification: 94A60, 68P25, 06E30, 94C10 © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2020 This work is subject to copyright. All rights are solely and exclusively licensed by the Publisher, whether the whole or part of the ma