TY - CHAP

T1 - Extensive and Intensive Models of Botnet Influence over Target Audience

AU - Василькова, Валерия Валентиновна

AU - Легостаева, Наталья Игоревна

AU - Радушевский, Владимир Борисович

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PY - 2019/5/26

Y1 - 2019/5/26

N2 - In the article, authors make an overview of existing approaches to typologization of bots and suggest their own approach for distinguishing botnets based on the influence of botnets over target audience. Using the logic of this approach, authors have performed a comparative analysis of two botnets found in the “VKontakte” social network, which revealed existence of two models of influence over target audience: extensive and intensive. Among the criteria for comparative analysis, botnets are characterized by “number of technological accounts in the botnet”, “intensity of publication activities”. Authors assume that the choice of one of these two models depends on thematic orientation of botnets, which involves different types of potential audiences.

AB - In the article, authors make an overview of existing approaches to typologization of bots and suggest their own approach for distinguishing botnets based on the influence of botnets over target audience. Using the logic of this approach, authors have performed a comparative analysis of two botnets found in the “VKontakte” social network, which revealed existence of two models of influence over target audience: extensive and intensive. Among the criteria for comparative analysis, botnets are characterized by “number of technological accounts in the botnet”, “intensity of publication activities”. Authors assume that the choice of one of these two models depends on thematic orientation of botnets, which involves different types of potential audiences.

KW - боты

KW - ботсети

KW - типология ботов

KW - методики выявления ботов

KW - экстенсивные и интенсивные модели

KW - bots

KW - botnets

KW - typology of bots

KW - botnet detection techniques

KW - intensive and extensive models

M3 - Article in an anthology

SP - 252

EP - 254

BT - Extensive and Intensive Models of Botnet Influence over Target Audience

CY - Paris, France

ER -