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- Vaibhavi Kalgutkar
- University of New Brunswick, NB, Canada
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- Ratinder Kaur
- University of New Brunswick, NB, Canada
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- Hugo Gonzalez
- University of New Brunswick, NB, Canada
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- Natalia Stakhanova
- University of New Brunswick, NB, Canada
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- Alina Matyukhina
- University of New Brunswick, NB, Canada
書誌事項
- タイトル別名
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- Methods and Challenges
説明
<jats:p>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. Code authorship attribution techniques can thus be utilized to identify and categorize the authors of malware. This information can help predict the types of tools and techniques that the author of a specific malware uses, as well as the manner in which the malware spreads and evolves. In this article, we present the first comprehensive review of research on code authorship attribution. The article summarizes various methods of authorship attribution and highlights challenges in the field.</jats:p>
収録刊行物
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- ACM Computing Surveys
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ACM Computing Surveys 52 (1), 1-36, 2019-02-13
Association for Computing Machinery (ACM)
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詳細情報 詳細情報について
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- CRID
- 1360294646615339136
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- DOI
- 10.1145/3292577
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- ISSN
- 15577341
- 03600300
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- データソース種別
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- Crossref