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A novel academic recommendation algorithm, MTAR (multi-type academic recommendation), which integrates resource content and user behaviors, is proposed to process five types of academic resources at the same time, which can quickly and precisely recommend academic resources of interest to users. The MTAR algorithm profiles five kinds of academic resources from four features including resource type,...
Fuzz testing is an effective technique for finding security vulnerabilities in software. Traditionally fuzz testing tools use random inputs and watch the resulting values. In this paper, we present a model-based fuzz framework for systematic automated testing of a TCG trusted software stack implementation. This framework is based on blackbox fuzz testing methods, integrated with target profiling,...
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