A Comprehensive Literature Review of File Carving
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[1] Yoginder S. Dandass,et al. An Empirical Analysis of Disk Sector Hashes for Data Carving , 2008, J. Digit. Forensic Pract..
[2] Stefano Zanero,et al. File Block Classification by Support Vector Machine , 2011, 2011 Sixth International Conference on Availability, Reliability and Security.
[3] Doris L. Carver,et al. Weaving ontologies to support digital forensic analysis , 2009, 2009 IEEE International Conference on Intelligence and Security Informatics.
[4] Simson L. Garfinkel,et al. Using purpose-built functions and block hashes to enable small block and sub-file forensics , 2010, Digit. Investig..
[5] Ann Devitt,et al. Constructing Bayesian Networks Automatically using Ontologies , 2006 .
[6] Simon Tjoa,et al. Advanced File Carving Approaches for Multimedia Files , 2011, J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl..
[7] Roy H. Campbell,et al. Characterizing Data Structures for Volatile Forensics , 2011, 2011 Sixth IEEE International Workshop on Systematic Approaches to Digital Forensic Engineering.
[8] Simson L. Garfinkel,et al. Carving contiguous and fragmented files with fast object validation , 2007, Digit. Investig..
[9] Sergey Bratus,et al. Automated mapping of large binary objects using primitive fragment type classification , 2010, Digit. Investig..
[10] David Billard,et al. Making sense of unstructured flash-memory dumps , 2010, SAC '10.
[11] Tijs van der Storm,et al. Domain-Specific Optimization in Digital Forensics , 2012, ICMT@TOOLS.
[12] Xuxian Jiang,et al. SigGraph: Brute Force Scanning of Kernel Data Structure Instances Using Graph-based Signatures , 2011, NDSS.
[13] Simson L. Garfinkel,et al. Automating Disk Forensic Processing with SleuthKit, XML and Python , 2009, 2009 Fourth International IEEE Workshop on Systematic Approaches to Digital Forensic Engineering.
[14] N. Weir,et al. Measuring and Improving the Quality of Care , 2004, Practical Neurology.
[15] Jeroen van den Bos,et al. Towards an Engineering Approach to File Carver Construction , 2011, 2011 IEEE 35th Annual Computer Software and Applications Conference Workshops.
[16] Golden G. Richard,et al. Scalpel: A Frugal, High Performance File Carver , 2005, DFRWS.
[17] Abhilash Sajja. Forensic Reconstruction of Fragmented Variable Bitrate MP3 files , 2010 .
[18] N. Memon,et al. The evolution of file carving , 2009, IEEE Signal Processing Magazine.
[19] Simon Tjoa,et al. Forensics Investigations of Multimedia Data: A Review of the State-of-the-Art , 2011, 2011 Sixth International Conference on IT Security Incident Management and IT Forensics.
[20] Johan Garcia,et al. Retention of micro-fragments in cluster slack - A first model , 2009, 2009 First IEEE International Workshop on Information Forensics and Security (WIFS).
[21] Nasir Memon,et al. Identification and recovery of JPEG files with missing fragments , 2009, Digit. Investig..
[22] Cor J. Veenman. Statistical Disk Cluster Classification for File Carving , 2007, Third International Symposium on Information Assurance and Security.
[23] Mohsen Toorani,et al. A new approach to content-based file type detection , 2008, 2008 IEEE Symposium on Computers and Communications.
[25] Vrizlynn L. L. Thing,et al. Design of a Digital Forensics Evidence Reconstruction System for Complex and Obscure Fragmented File Carving , 2011, 2011 Seventh International Conference on Computational Intelligence and Security.
[26] Andrew Benedict Lewis,et al. Reconstructing compressed photo and video data , 2012 .
[27] Vrizlynn L. L. Thing,et al. A Novel Inequality-Based Fragmented File Carving Technique , 2010, e-Forensics.
[28] Thomas J. Holt. Crime On-line: Correlates, Causes, and Context , 2010 .
[29] Michael I. Cohen. Advanced carving techniques , 2007, Digit. Investig..
[30] Hyunjung Shin,et al. Fast file-type identification , 2010, SAC '10.
[31] Bhavani Thuraisingham,et al. Bin-Carver: Automatic recovery of binary executable files , 2012, Digit. Investig..
[32] Tijs van der Storm,et al. Bringing domain-specific languages to digital forensics , 2011, ICSE.
[33] Nasir D. Memon,et al. Automated reassembly of file fragmented images using greedy algorithms , 2006, IEEE Transactions on Image Processing.
[34] Chao Wu,et al. Discovering Semantic Data of Interest from Un-mappable Memory with Confidence , 2012, NDSS.
[35] Golden G. Richard,et al. In-Place File Carving , 2007, IFIP Int. Conf. Digital Forensics.
[36] Sjouke Mauw,et al. mCarve: Carving Attributed Dump Sets , 2011, USENIX Security Symposium.
[37] Martin Karresand. Completing the Picture Fragments and Back Again , 2008 .
[38] Mohammad Hossain Heydari,et al. Content based file type detection algorithms , 2003, 36th Annual Hawaii International Conference on System Sciences, 2003. Proceedings of the.
[39] Simon Tjoa,et al. Roadmap to Approaches for Carving of Fragmented Multimedia Files , 2011, 2011 Sixth International Conference on Availability, Reliability and Security.
[40] Tijs van der Storm,et al. Domain-Specific Languages for Better Forensic Software , 2012, ERCIM News.
[41] Robert F. Erbacher,et al. SÁDI - Statistical Analysis for Data Type Identification , 2008, 2008 Third International Workshop on Systematic Approaches to Digital Forensic Engineering.
[42] Brian D. Carrier,et al. File System Forensic Analysis , 2005 .
[43] Sergey Bratus,et al. A Visual Study of Primitive Binary Fragment Types , 2010 .
[44] Thijs Holleboom,et al. Fragment retention characteristics in slack space — Analysis and measurements , 2010, 2010 2nd International Workshop on Security and Communication Networks (IWSCN).
[45] Issa Traoré,et al. Method ontology for intelligent network forensics analysis , 2010, 2010 Eighth International Conference on Privacy, Security and Trust.
[46] Nasir Memon,et al. Automatic Reassembly of Document Fragments via Data Compression , 2002 .
[47] Nasir D. Memon,et al. Automated reassembly of fragmented images , 2003, 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698).
[48] James R. Beniger. The Control Revolution: Technological and Economic Origins of the Information Society , 1986 .
[49] Qiming Li,et al. Searching and Extracting Digital Image Evidence , 2013 .
[50] A. Debons,et al. The control revolution: Technological and economic origins of the information society , 1990, J. Am. Soc. Inf. Sci..
[51] Simson L. Garfinkel,et al. File Fragment Classification-The Case for Specialized Approaches , 2009, 2009 Fourth International IEEE Workshop on Systematic Approaches to Digital Forensic Engineering.
[52] Stefan Axelsson. Using Normalized Compression Distance for Classifying File Fragments , 2010, 2010 International Conference on Availability, Reliability and Security.
[53] Ye Xu,et al. An adaptive method to identify disk cluster size based on block content , 2010, Digit. Investig..
[54] Drue Coles,et al. Predicting the types of file fragments , 2008, Digit. Investig..
[55] Nahid Shahmehri,et al. Oscar - File Type Identification of Binary Data in Disk Clusters and RAM Pages , 2006, SEC.
[56] N. F. Noy,et al. Ontology Development 101: A Guide to Creating Your First Ontology , 2001 .
[57] Nasir D. Memon,et al. Automatic reassembly of document fragments via context based statistical models , 2003, 19th Annual Computer Security Applications Conference, 2003. Proceedings..
[58] Ke Wang,et al. Fileprints: identifying file types by n-gram analysis , 2005, Proceedings from the Sixth Annual IEEE SMC Information Assurance Workshop.
[59] Stefano Zanero,et al. Context-Based File Block Classification , 2012, IFIP Int. Conf. Digital Forensics.
[61] Husrev T. Sencar,et al. Detecting file fragmentation point using sequential hypothesis testing , 2008, Digit. Investig..
[62] Simson L. Garfinkel,et al. Digital forensics research: The next 10 years , 2010, Digit. Investig..
[63] M. Chatterjee,et al. Secure E-Commerce Protocol for Purchase of e-Goods - Using Smart Card , 2007 .
[64] Michael I. Cohen,et al. Advanced JPEG carving , 2008, e-Forensics '08.
[65] Felix C. Freiling,et al. The Forensic Image Generator Generator (Forensig2) , 2009, 2009 Fifth International Conference on IT Security Incident Management and IT Forensics.