Digital Fingerprinting
Cliff Wang · Ryan M. Gerdes · Yong Guan · Sneha Kumar Kasera
2016 urr. · Springer
Liburu elektronikoa
189
orri
reportBalorazioak eta iritziak ez daude egiaztatuta Lortu informazio gehiago
Liburu elektroniko honi buruz
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.
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.
Egileari buruz
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 Research Group 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.
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 Research Group 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.
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