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1.
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Forecasting Suspicious Account Activity at Large-Scale Online Service Providers
/ Hassan Halawa ; Konstantin Beznosov ; Baris Coskun ; Meizhu Liu ; et al
[LERSSE-RefConfPaper-2018-003]
In the face of large-scale automated social engineering attacks to large online services, fast detection and remediation of compromised accounts are crucial to limit the spread of the attack and to mitigate the overall damage to users, companies, and the public at large. [...]
Published in In the proceedings of Twenty-Third International Conference on Financial Cryptography and Data Security (FC'19), St. Kitts, 2019:
Fulltext: Final-verson -  PDF; FC19-1-CameraReady-a - PDF PDF (PDFA);
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2.
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Forecasting Suspicious Account Activity at Large-Scale Online Service Providers
/ Hassan Halawa ; Matei Ripeanu ; Konstantin Beznosov ; Baris Coskun ; et al
[LERSSE-REPORT-2018-001]
In the face of large-scale automated social engineering attacks to large online services, fast detection and remediation of compromised accounts are crucial to limit the spread of new attacks and to mitigate the overall damage to users, companies, and the public at large. [...]
Published in H. Halawa, M. Ripeanu, K. Beznosov, B. Coskun, and M. Liu "Forecasting Suspicious Account Activity at Large-Scale Online Service Providers", published in arXiv https://arxiv.org/abs/1801.08629v1:
Fulltext: PDF PDF (PDFA);
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3.
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Harvesting the Low-hanging Fruits: Defending Against Automated Large-Scale Cyber-Intrusions by Focusing on the Vulnerable Populations
/ Hassan Halawa ; Konstantin Beznosov ; Yazan Boshmaf ; Baris Coskun ; et al
[LERSSE-RefConfPaper-2016-003]
The orthodox paradigm to defend against automated social-engineering attacks in large-scale socio-technical systems is reactive and victim-agnostic [...]
Published in In Proceedings of the New Security Paradigms Workshop (NSPW), September 26-29, 2016, Granby, CO, USA.:
Fulltext: PDF PDF (PDFA);
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