| Autor: |
Tushar Bhosale, Yash Agrawal, Deepak Kshirsagar, Hrishikesh Chavan |
| Rok vydání: |
2021 |
| Předmět: |
|
| Zdroj: |
Data Science and Security ISBN: 9789811644856 |
| 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: |
|
