Work

LOBO

Year: 2018

Type: conference-paper

Abstract: Botnets in online social networks are increasingly often affecting the regular flow of discussion, attacking regular users and their posts, spamming them with irrelevant or offensive content, and even manipulating the popularity of messages and accounts. Researchers and cybercriminals are involved in an arms race, and new and updated botnets designed to defeat current detection systems are constantly developed, rendering such detection systems obsolete.

Source: Annual Computer Security Applications Conference

DOI: 10.1145/3274694.3274738

Authors: Juan Echeverrï£¡a, Emiliano De Cristofaro, Nicolas Kourtellis, Ilias Leontiadis, Gianluca Stringhini, Shi Zhou

Institutions: University College London, Telefonica Research and Development, Boston University

Language: English

Topic: Spam and Phishing Detection

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Peace, justice, and strong institutions

Open Access status: green

Funder: European Commission