Abstract | ||
---|---|---|
Image forensics with the presence of an adversary, such as the interplay between the sensor-based camera source identification (CSI) and the fingerprint-copy attack, has attracted increasing attention recently. In this paper, we propose a framework of CSI game with both complete information and incomplete information. A noise level-based counter anti-forensic method is presented to detect the pote... |
Year | DOI | Venue |
---|---|---|
2017 | 10.1109/TCYB.2016.2557802 | IEEE Transactions on Cybernetics |
Keywords | Field | DocType |
Games,Forensics,Bayes methods,Noise level,Nash equilibrium,Cameras,Radiation detectors | Data mining,Information asymmetry,Computer science,Computer security,Artificial intelligence,Bayesian game,Complete information,Countermeasure,Adversary,Nash equilibrium,Machine learning,Stochastic game,Bayesian probability | Journal |
Volume | Issue | ISSN |
47 | 7 | 2168-2267 |
Citations | PageRank | References |
2 | 0.36 | 20 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Hui Zeng | 1 | 51 | 6.23 |
Jingxian Liu | 2 | 60 | 14.29 |
jingjing yu | 3 | 5 | 3.34 |
Xiangui Kang | 4 | 424 | 37.76 |
Yun Q. Shi | 5 | 2918 | 199.53 |
Z. Jane Wang | 6 | 30 | 3.98 |