Digital Fingerprinting

Ryan M. Gerdes

ISBN 10: 1493965999 / ISBN 13: 9781493965991

Published by Springer, 2016

About this Item

Druck auf Anfrage Neuware - Printed after ordering - This is the first book on digital fingerprinting that comprehensively covers the major areas of study in a range of information security areas including authentication schemes, intrusion detection, forensic analysis and more. Available techniques for assurance are limited and authentication schemes are potentially vulnerable to the theft of digital tokens or secrets. Intrusion detection can be thwarted by spoofing or impersonating devices, and forensic analysis is incapable of demonstrably tying a particular device to specific digital evidence. This book presents an innovative and effective approach that addresses these concerns. This book introduces the origins and scientific underpinnings of digital fingerprinting. It also proposes a unified framework for digital fingerprinting, evaluates methodologies and includes examples and case studies. The last chapter of this book covers the future directions of digital fingerprinting.This book is designed for practitioners and researchers working in the security field and military. Advanced-level students focused on computer science and engineering will find this book beneficial as secondary textbook or reference.

Seller Inventory # 9781493965991

Bibliographic Details

• Title: Digital Fingerprinting
• Publisher: Springer
• Publication Date: 2016
• Language: English
• ISBN 10: 1493965999
• ISBN 13: 9781493965991
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 17D millimeters 241 millimeters width by 160 millimeters height by 17 millimeters depth
• Weight: 471 grams

About this title

Synopsis

This is the first book on digital fingerprinting that comprehensively covers the major areas of study in a range of information security areas including authentication schemes, intrusion detection, forensic analysis and more.  Available techniques for assurance are limited and authentication schemes are potentially vulnerable to the theft of digital tokens or secrets.  Intrusion detection can be thwarted by spoofing or impersonating devices, and forensic analysis is incapable of demonstrably tying a particular device to specific digital evidence.  This book presents an innovative and effective approach that addresses these concerns.  

This book introduces the origins and scientific underpinnings of digital fingerprinting. It also proposes a unified framework for digital fingerprinting, evaluates methodologies and includes examples and case studies. The last chapter of this book covers the future directions of digital fingerprinting. 

This book is designed for practitioners and researchers working in the security field and military. Advanced-level students focused on computer science and engineering will find this book beneficial as secondary textbook or reference. 

About the Author

Ryan M. Gerdes is an assistant professor of Electrical and Computer Engineering at Virginia Polytechnic Institute. His interests include signal and data authentication, hardware and device security, computer and network security, transportation security, and applied electromagnetics.

Yong Guan is an associate professor at Iowa State University. His research and teaching are in computer networks and distributed systems, with focuses on security issues, including computer and network forensics, wireless and sensor network security, privacy-enhancing technologies for the Internet, and secure real-time computing and communication.

Sneha Kumar Kasera is a professor in the School of Computing at the University of Utah. Before joining the University of Utah, he spent four years in the Mobile Networking Research Department at Bell Labs, Lucent Technologies. Earlier, I obtained a Ph.D. in Computer Science from the Advanced Networks ResearchGroup at the University of Massachusetts in Amherst. 

Cliff Wang is the program director at US Army Research Office, managing a large portfolio of university research. He is also appointed as an adjunct professor at North Carolina State University. Dr. Wang is a fellow of IEEE.