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Digital Forensic Source Camera Identification with Efficient Feature Selection Using Filter, Wrapper and Hybrid Approaches.

, , and . ICISS, volume 10063 of Lecture Notes in Computer Science, page 409-425. Springer, (2016)

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Mitigating Adaptive PRNU Denoising in Camera Model Identification: An Anti-Counter Forensic Approach., , and . TENCON, page 903-907. IEEE, (2019)Source Camera Identification and Detection in Digital Videos through Blind Forensics., , , and . CoRR, (2023)Deep siamese network for limited labels classification in source camera identification., and . Multim. Tools Appl., 79 (37-38): 28079-28104 (2020)Digital Forensic Source Camera Identification with Efficient Feature Selection Using Filter, Wrapper and Hybrid Approaches., , and . ICISS, volume 10063 of Lecture Notes in Computer Science, page 409-425. Springer, (2016)Deep Learning Based Counter-Forensic Image Classification for Camera Model Identification., , , and . IWDW, volume 10431 of Lecture Notes in Computer Science, page 52-64. Springer, (2017)Blind Image Source Device Identification: Practicality and Challenges., and . Int. J. Inf. Secur. Priv., 12 (3): 84-99 (2018)Eliminating the effects of illumination condition in feature based camera model identification., and . J. Vis. Commun. Image Represent., (2018)Universal Wavelet Relative Distortion: A New Counter-Forensic Attack on Photo Response Non-Uniformity Based Source Camera Identification., and . ISPEC, volume 11125 of Lecture Notes in Computer Science, page 37-49. Springer, (2018)A Deep Learning Based Digital Forensic Solution to Blind Source Identification of Facebook Images., , and . ICISS, volume 11281 of Lecture Notes in Computer Science, page 291-303. Springer, (2018)K-unknown models detection through clustering in blind source camera identification., , and . IET Image Processing, 12 (7): 1204-1213 (2018)