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- W3176167046 abstract "AbstractIncreasingly, computer users throughout the world are faced with various types of cyberattacks that might originate anywhere. In many cases, for example with ransomware, the unsuspecting user might receive a message requesting a payment of funds lest some dire consequence occur. The nature of such a message may lead to an analysis of the origin of the attack, based on the use of language in the demand. For example, if the targeted user is English-speaking, the language in the attack might have been originated by a speaker of another language, who might use human translation or machine translation in the attack. In this paper, we explore the possibility of determining in part the source of an attack through linguistic analysis of sample test messages that might have been translated by human or machine methods, and from one of a range of human languages.KeywordsCybersecurityCyberattacksMachine translationHuman translationHuman factors" @default.
- W3176167046 created "2021-07-05" @default.
- W3176167046 creator A5055609901 @default.
- W3176167046 date "2021-01-01" @default.
- W3176167046 modified "2023-09-24" @default.
- W3176167046 title "Detecting Cyberattacks Using Linguistic Analysis" @default.
- W3176167046 cites W3001031570 @default.
- W3176167046 doi "https://doi.org/10.1007/978-3-030-79997-7_21" @default.
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