The Rise of Social Botnets: Attacks and Countermeasures

March 08, 2016 Β· Declared Dead Β· πŸ› IEEE Transactions on Dependable and Secure Computing

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Authors Jinxue Zhang, Rui Zhang, Yanchao Zhang, Guanhua Yan arXiv ID 1603.02714 Category cs.SI: Social & Info Networks Citations 82 Venue IEEE Transactions on Dependable and Secure Computing Last Checked 5 months ago
Abstract
Online social networks (OSNs) are increasingly threatened by social bots which are software-controlled OSN accounts that mimic human users with malicious intentions. A social botnet refers to a group of social bots under the control of a single botmaster, which collaborate to conduct malicious behavior while mimicking the interactions among normal OSN users to reduce their individual risk of being detected. We demonstrate the effectiveness and advantages of exploiting a social botnet for spam distribution and digital-influence manipulation through real experiments on Twitter and also trace-driven simulations. We also propose the corresponding countermeasures and evaluate their effectiveness. Our results can help understand the potentially detrimental effects of social botnets and help OSNs improve their bot(net) detection systems.
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