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etc have made use of such techniques as XOR, hashes, and biometric analysis. These techniques often rely on finding similar documents or files based on machine learning (ML) techniques[@b1]. Traditional search methodologies to search for files are based on keywords or file content. It was assumed that the majority of stolen documents would contain some of the same keywords in their titles, or that they would be similar in content[@b2]. However, this assumption is not valid for many documents containing legal information, such as highly detailed pricing tables. These are often stored in encrypted form in a single XML file, containing thousands of files. Recovering these files by content-based methods becomes increasingly difficult. This makes these types of files less accessible to conventional techniques.
Here we present a technique using XOR cipher and hash algorithms to generate a unique fingerprint for each document and for each file within a document. This fingerprint can be used to identify individual or groups of files, as well as extract information such as the original file name or a portion of the file name and content, from any type of document. By generating fingerprints for different files and for different documents in a single XML file, we are able to identify the original, unaltered file.
While this technique is quite robust, the potential for falsifying fingerprints and the need for expert cryptanalysis to detect this makes it a unique form of digital forensic method, with no known countermeasures. The XOR ciphering algorithm has been used for various applications, ranging from data encryption for the military, through the introduction of random keys for stronger cryptography, to the creation of a new form of digital signature[@b3][@b4][@b5][@b6][@b7]. We show that the output from the XOR algorithm contains a significant amount of information and we present an algorithm to extract this data. The utility of the algorithm is shown by generating fingerprints for a group of known files and files based on the XOR value of the file header and generating fingerprints for several other documents that are within the same file. The fingerprints for a group of file and the fingerprints for a group of documents within the same file are found to be unique.
Data and Results
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XOR and its Application
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The XOR (exclusive OR) function, also referred to as the bitwise exclusive OR function, is a Boolean function used to produce an exclusive (unlike AND or OR) or non-exclusive logical OR of the
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