A Deep Learning Approach for Network Intrusion Detection System
Ahmad Y. JavaidCollege Of Engineering The University of Toledo Toledo, OH-43606, USAQuamar NiyazCollege Of Engineering The University of Toledo Toledo, OH-43606, USAWeiqing SunCollege Of Engineering The University of Toledo Toledo, OH-43606, USAMansoor AlamCollege Of Engineering The University of Toledo Toledo, OH-43606, USA
2016en
ABI
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
Identifiers
Citations and references
Cited by 40 references