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A Deep Learning Approach for Network Intrusion Detection System
Ahmad Y. Javaid (University of Toledo), Quamar Niyaz (University of Toledo), Weiqing Sun (University of Toledo), Mansoor Alam (University of Toledo)
DOI: 10.4108/eai.3-12-2015.2262516 (Computer Science)
License: CC BY
Abstract: A Network Intrusion Detection System (NIDS) helps system administrators to detect network security breaches in their organizations. However, many challenges arise while developing a flexible and efficient NIDS for unforeseen and unpredictable attacks. We propose a deep learning based approach for
Published on 01 Jan. 2016