Results 111 to 120 of about 21,052 (160)
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ACM Computing Surveys, 2019
Code authorship attribution is the process of identifying the author of a given code. With increasing numbers of malware and advanced mutation techniques, the authors of malware are creating a large number of malware variants. To better deal with this problem, methods for examining the authorship of malicious code are necessary.
Vaibhavi Kalgutkar +4 more
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Code authorship attribution is the process of identifying the author of a given code. With increasing numbers of malware and advanced mutation techniques, the authors of malware are creating a large number of malware variants. To better deal with this problem, methods for examining the authorship of malicious code are necessary.
Vaibhavi Kalgutkar +4 more
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ACM Transactions on Asian and Low-Resource Language Information Processing, 2018
Law enforcement faces problems in tracing the true identity of offenders in cybercrime investigations. Most offenders mask their true identity, impersonate people of high authority, or use identity deception and obfuscation tactics to avoid detection and traceability.
Malik H. Altakrori +4 more
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Law enforcement faces problems in tracing the true identity of offenders in cybercrime investigations. Most offenders mask their true identity, impersonate people of high authority, or use identity deception and obfuscation tactics to avoid detection and traceability.
Malik H. Altakrori +4 more
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Deception in authorship attribution
2021In digital forensics, questions often arise about the authors of documents: their identity, demographic background, and whether they can be linked to other documents. The field of stylometry uses linguistic features and machine learning techniques to answer these questions.
Sadia Afroz, Rachel Greenstadt
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Selecting syntactic attributes for authorship attribution
The 2011 International Joint Conference on Neural Networks, 2011In this work we present a methodology to select syntactic attributes for authorship attribution. The approach takes into account a multi-objective genetic algorithm and a Support Vector Machine classifier and it operates in a wrapper mode. Through a series of comprehensive experiments on a database composed of 3000 short articles written in Portuguese ...
Paulo Varela +2 more
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Authorship Attribution and Pastiche
Computers and the Humanities, 2003This paper considers the question of authorship attribution techniques whenfaced with a pastiche. We ask whether the techniques can distinguish the real thing from the fake, or can the author fool the computer? If the latter, is this because the pastiche is good, or because the technique is faulty?
Harold Somers, Fiona Tweedie
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2017
A new effective system for identification and verification of text authorship has been developed. The system is created on the basis of machine learning. The originality of the model is caused by a suggested unique profile of the author’s style features.
Oleksandr Marchenko +4 more
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A new effective system for identification and verification of text authorship has been developed. The system is created on the basis of machine learning. The originality of the model is caused by a suggested unique profile of the author’s style features.
Oleksandr Marchenko +4 more
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2019
Email correspondence is regularly manhandled for directing social designing assaults including spamming, phishing, data fraud, and circulating malware. This is to a great extent credited to the issue of obscurity intrinsic. Finding the authorship of email which can be stated as attribution problem is contemplated as content classification issue where ...
Suman Patil +2 more
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Email correspondence is regularly manhandled for directing social designing assaults including spamming, phishing, data fraud, and circulating malware. This is to a great extent credited to the issue of obscurity intrinsic. Finding the authorship of email which can be stated as attribution problem is contemplated as content classification issue where ...
Suman Patil +2 more
openaire +1 more source
2002
Recent literary scholarship has seen a shift of interest away from questions of attribution. Yet these questions remain urgent and important for any historical study of writing, and have been given a powerful new impetus by advances in statistical studies of language and the coming on line of large databases of texts in machine-searchable form.
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Recent literary scholarship has seen a shift of interest away from questions of attribution. Yet these questions remain urgent and important for any historical study of writing, and have been given a powerful new impetus by advances in statistical studies of language and the coming on line of large databases of texts in machine-searchable form.
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Authorship attribution deals with identifying the authors of anonymous texts. This project considers the problem of authorship attribution for two types of text: online reviews and court judgments.
Zukerman, Ingrid +4 more
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Zukerman, Ingrid +4 more
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Authorship Attribution Using Entropy
Journal of Quantitative Linguistics, 2013Abstract We propose a new methodology for testing the authorship of a relatively small work compared with the large body of an author’s cannon. Our approach is based on comparing the entropy of the two samples. The difficulty lies in the fact that known estimators of entropy tend to have a large bias even when the sample size is fairly large.
M. Grabchak, Z. Zhang, D. T. Zhang
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