Paper Info
Title
Device temporal forensics: An information theoretic approach
Abstract
By formulating the problem of ordering the outputs observed from a device over time, we pose a new problem in forensics and propose a framework for addressing this problem of device temporal forensics. Our proposed framework is based on a two-stage approach wherein time-dependent device parameters are first estimated from observed outputs and the resulting estimates are then temporally ordered by employing a Markov model for the temporal evolution of device parameters and exploiting the data processing inequality in information theory. We demonstrate and evaluate a simple realization of the framework for digital camera forensics based on photo-response non-uniformity. Results obtained over a database of online images indicate that the method provides accurate temporal ordering.
Year
DOI
Venue
2009
10.1109/ICIP.2009.5414612
ICIP
Keywords
Field
DocType
device parameter,new problem,data processing inequality,temporal evolution,image processing,proposed framework,markov model,time-dependent device parameter,device parameters temporal evolution,device temporal forensics,prnu(photo-response nonuniformity noise),computer forensics,temporal ordering,information theory,accurate temporal ordering,information services,temporal databases,photo response non uniformity,time dependent device parameters,information theoretic approach,online image database,observed output,markov processes,digital camera forensics,data processing,mutual information,forensics,correlation,noise
Information theory,Data mining,Computer vision,Markov process,Computer forensics,Markov model,Computer science,Image processing,Temporal database,Digital camera,Artificial intelligence,Mutual information
Conference
ISSN
ISBN
Citations 
1522-4880 E-ISBN : 978-1-4244-5655-0
978-1-4244-5655-0
3
PageRank 
References 
Authors
0.51
10
4
Name
Order
Citations
PageRank
Junwen Mao130.51
Orhan Bulan212212.94
Gaurav Sharma364056.64
Suprakash Datta417916.29