Detecting Cyberattacks Using Linguistic Analysis

Autor:	Wayne Patterson
Rok vydání:	2021
Předmět:	Machine translation Computer science media_common.quotation_subject Sample (statistics) Computer security computer.software_genre Computer users Payment Test (assessment) Linguistic analysis Ransomware computer Range (computer programming) media_common
Zdroj:	Advances in Human Factors in Robots, Unmanned Systems and Cybersecurity ISBN: 9783030799960 AHFE (10)
DOI:	10.1007/978-3-030-79997-7_21
Popis:	Increasingly, 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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::145d958f783316dce48c23de856059d2 https://doi.org/10.1007/978-3-030-79997-7_21 Zobrazit plný text záznamu