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- W2594748684 abstract "A Network Intrusion Detection System (NIDS) helps system administrators to detect network security breaches intheir organizations. However, many challenges arise whiledeveloping a flexible and efficient NIDS for unforeseen and unpredictable attacks. We propose a deep learning based approach for developing such an efficient and flexible NIDS.We use Self-taught Learning (STL), a deep learning based technique, on NSL-KDD - a benchmark dataset for networkintrusion. We present the performance of our approach and compare it with a few previous work. Compared metrics include accuracy, precision, recall, and f-measure values." @default.
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- W2594748684 date "2015-01-01" @default.
- W2594748684 modified "2023-09-24" @default.
- W2594748684 title "A Deep Learning Approach for Network Intrusion Detection System." @default.
- W2594748684 hasPublicationYear "2015" @default.
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