Abstract
With the development and popularization of the Internet, Intrusion detection systems become indispensable. In view of the great achievements of deep neural network in many fields. In order to improve the validity and accuracy of network intrusion detection. A new intrusion detection method based on deep neural network is proposed to detect the characteristics of kdd99 dataset. This model adopts deep learning technology, including relu, full connection layer and cascade different level. The experiment on kdd99 data set shows that the model improves the performance of intrusion detection, reducing the training time and false alarm rate with an accuracy rate of 92.7%.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
