Titlebook: Detection of Intrusions and Malware, and Vulnerability Assessment; 13th International C Juan Caballero,Urko Zurutuza,Ricardo J. Rodríguez C

LEVER

Largess

Comprehensive Analysis and Detection of Flash-Based Malwaren empirical evaluation with 26,600 Flash samples collected over 12 consecutive weeks, . significantly outperforms related approaches when applied to samples shortly after their first occurrence in the wild, demonstrating its ability to provide timely protection for end users.

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Reviewer Integration and Performance Measurement for Malware Detectiontraining labels obtained at the same time training data is first seen with training labels obtained months later. We find that using training labels obtained well after samples appear, and thus unavailable in practice for current training data, inflates measured detection by almost 20?% points. We r

Conscientious

On the Lack of Consensus in Anti-Virus Decisions: Metrics and Insights on Building Ground Truths of s as a case study. Our analysis focuses not only on AV binary decision but also on the notoriously hard problem of . that AVs associate with suspicious files, and allows to highlight biases hidden in the collection of a malware ground truth—a foundation stone of any malware detection approach.

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Financial Lower Bounds of Online Advertising Abusebuse TDSS/TDL4 inflicted on the advertising ecosystem since 2010. Over its lifetime, less than 15?% of the botnet’s victims caused . in damages to advertisers due to impression fraud. TDSS/TDL4 abuse translates to an average US$340 thousand loss per day to advertisers, which is three times the ZeroA

Coterminous

Ondines-curse

Obscure

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