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The OpenDSA Project seeks to provide complete instructional materials for data structures and algorithms (DSA) courses. Our vision for a highly interactive eTextbook involves the use of many algorithm visualizations (AVs) and a wide range of interactive exercises with automated assessment. To realize this vision we require a mix of third-party and custom software components that make up a client/server-based...
Counterfeit Integrated Circuits (ICs) have become an important security issue in recent years, in which counterfeit ICs that perform incorrectly or sub-par to the expected can lead to catastrophic consequences in safety and/or mission-critical applications, in addition to the tremendous economic toll they incur to the semiconductor industry. In this paper, we propose two novel methods to validate...
This research examines the utility of Markov switching models in assessing trust and trustworthiness of a heterogeneous network, e.g. distributed sensor networks. As an unsupervised machine learning method, hidden Markov models (HMM) is independent of the assumptions commonly used in modeling trust in complex systems. A relevant time series that switches regimes from trusted to untrusted periods of...
Trust and trustworthiness are significant measurements of a distributed sensing system or a heterogeneous network comprised of sources of information, knowledge, hardware and software. In an effort to design a unified trust model that can be made adaptable to changing application environments, we present fundamental features and rules extracted from literature pertaining to wireless sensor networks,...
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