000000323 001__ 323
000000323 005__ 20180214065449.0
000000323 037__ $$aLERSSE-REPORT-2018-001
000000323 100__ $$aHassan Halawa
000000323 245__ $$aForecasting Suspicious Account Activity at Large-Scale Online Service Providers
000000323 260__ $$c2018-01-25
000000323 300__ $$a11
000000323 520__ $$aIn 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. We advocate a fully automated approach based on machine learning: we develop an early warning system that harnesses account activity traces to predict which accounts are likely to be compromised in the future and generate suspicious activity. We hypothesize that this early warning is key for a more timely detection of compromised accounts and consequently faster remediation. We demonstrate the feasibility and applicability of the system through an experiment at a large-scale online service provider using four months of real-world production data encompassing hundreds of millions of users. We show that—even using only login data to derive features with low computational cost, and a basic model selection approach—our classifier can be tuned to achieve good classification precision when used for forecasting. Our system correctly identifies up to one month in advance the accounts later flagged as suspicious with precision, recall, and false positive rates that indicate the mechanism is likely to prove valuable in operational settings to support additional layers of defense.
000000323 700__ $$aMatei Ripeanu
000000323 700__ $$aKonstantin Beznosov
000000323 700__ $$aBaris Coskun
000000323 700__ $$aMeizhu Liu
000000323 8560_ $$flersse-it@ece.ubc.ca
000000323 8564_ $$uhttp://lersse-dl.ece.ubc.ca/record/323/files/halawa_2018.pdf
000000323 8564_ $$uhttp://lersse-dl.ece.ubc.ca/record/323/files/halawa_2018.pdf?subformat=pdfa$$xpdfa
000000323 909C4 $$pH. Halawa, M. Ripeanu, K. Beznosov, B. Coskun, and M. Liu "Forecasting Suspicious Account Activity at Large-Scale Online Service Providers", published in arXiv https://arxiv.org/abs/1801.08629v1
000000323 980__ $$aREPORT