Biblio
Filters: Author is Georgieva-Trifonova, Tsvetanka [Clear All Filters]
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2022. Research on Filtering Feature Selection Methods for E-Mail Spam Detection by Applying K-NN Classifier. 2022 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA). :1–4.
In the present paper, the application of filtering methods to select features when detecting email spam using the K-NN classifier is examined. The experiments include computation of the accuracy and F-measure of the e-mail texts classification with different methods for feature selection, different number of selected features and two ways to find the distance between dataset examples when executing K-NN classifier - Euclidean distance and cosine similarity. The obtained results are summarized and analyzed.
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2021. Solving IoT Security and Scalability Challenges with Blockchain. 2021 5th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT). :52–56.
Internet of Things (IoT) is one relatively new technology, which aims to make our lives easier by automating our daily processes. This article would aim to deliver an idea how to prevent the IoT technology, delivering maliciously and bad things and how to scale. The intention of this research is to explain how a specific implementation of a Blockchain network, enterprise-grade permissioned distributed ledger framework called Hyperledger Fabric, can be used to resolve the security and scalability issues in an IoT network.