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Malware continues to thrive on the Internet. Besides automated mechanisms for detecting malware, the authors provide users with trust evidence information to enable them to make informed trust decisions. To scope the problem, they study the challenge of assisting users with judging the trustworthiness of software downloaded from the Internet. Through expert elicitation, they deduce indicators for trust evidence, then analyze these indicators with respect to scalability and robustness. They design OTO, a system for communicating these trust evidence indicators to users, and they demonstrate through a user study the effectiveness of OTO, even with respect to IE's SmartScreen Filter (SSF).
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