A large-scale study of file-system contents
SIGMETRICS '99 Proceedings of the 1999 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Proceedings of the 1st international conference on Forensic applications and techniques in telecommunications, information, and multimedia and workshop
CIS '11 Proceedings of the 2011 Seventh International Conference on Computational Intelligence and Security
Content based JPEG fragmentation point detection
ICME '11 Proceedings of the 2011 IEEE International Conference on Multimedia and Expo
Detecting file fragmentation point using sequential hypothesis testing
Digital Investigation: The International Journal of Digital Forensics & Incident Response
Automated reassembly of file fragmented images using greedy algorithms
IEEE Transactions on Image Processing
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In this paper, we propose a sector-wise JPEG fragment classification approach to classify normal and erroneous JPEG data fragments with the minimum size of 512 bytes per fragment. Our method is based on processing each read-in sector of 512 bytes with using the DCT coefficient analysis methods for extracting the features of visual inconsistencies. The classification is conducted before the inverse DCT and can be performed simultaneously with JPEG decoding. The contributions of this work are two-folds: (1) a sector-wise JPEG erroneous fragment classification approach is proposed (2) new DCT coefficient analysis methods are introduced for image content analysis. Testing results on a variety of erroneous fragmented and normal JPEG files prove the strength of this operator for the purpose of forensics analysis, data recovery and abnormal fragment inconsistencies classification and detection. Furthermore, the results also show that the proposed DCT coefficient analysis methods are efficient and practical in terms of classification accuracy. In our experiment, the proposed approach yields a false positive rate of 0.32% and a true positive rate of 96.1% in terms of erroneous JPEG fragment classification.