Deep Learning Methods for Intrusion Detection System

Autor:	Tushar Bhosale, Yash Agrawal, Deepak Kshirsagar, Hrishikesh Chavan
Rok vydání:	2021
Předmět:	Artificial neural network business.industry Computer science Deep learning The Internet Denial-of-service attack Artificial intelligence Intrusion detection system business Convolutional neural network Computer network
Zdroj:	Data Science and Security ISBN: 9789811644856
DOI:	10.1007/978-981-16-4486-3_4
Popis:	With ever increasing use and the number of users on the internet, data has become vulnerable to attacks. One such attack is Denial of Service (DoS) attack. This attack is meant to temporarily or indefinitely make unavailable a machine or network resources thereby making the system inaccessible. In this paper, an intrusion detection system is built using Deep Learning approaches Deep neural network and Convolutional Neural Network to detect DoS attacks. CICIDS2017 dataset is used to train the model and test the performance of the model. The experimental trials show that the proposed model outperforms all the previously implemented models.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::a09b6f26a9243e5674fce036082e6596 https://doi.org/10.1007/978-981-16-4486-3_4 Zobrazit plný text záznamu