suvosree chatterjee - Academia.edu (original) (raw)
Address: Kolkata, India
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Books by suvosree chatterjee
Florida Atlantic University, 2023
Cyber attack is a strong threat to the digital world. So, it’s very essential to keep the network... more Cyber attack is a strong threat to the digital world. So, it’s very essential
to keep the network safe. Network Intrusion Detection system is the system to address
this problem. Network Intrusion Detection system functions like a firewall, and
monitors incoming and outgoing traffic like ingress and egress filtering fire wall. Network
Intrusion Detection System does anomaly and hybrid detection for detecting
known and unknown attacks. My thesis discusses about the several network cyber
attacks we face nowadays and I created several Deep learning models to detect
accurately, I used NSL-KDD dataset which is a popular dataset, that contains
several network attacks. After experimenting with different deep learning models I
found some disparities in the training accuracy and validation accuracy, which is a
clear indication of overfitting. To reduce the overfitting I introduced regularization
and dropout in the models and experimented with different hyperparameters.
Florida Atlantic University, 2023
Cyber attack is a strong threat to the digital world. So, it’s very essential to keep the network... more Cyber attack is a strong threat to the digital world. So, it’s very essential
to keep the network safe. Network Intrusion Detection system is the system to address
this problem. Network Intrusion Detection system functions like a firewall, and
monitors incoming and outgoing traffic like ingress and egress filtering fire wall. Network
Intrusion Detection System does anomaly and hybrid detection for detecting
known and unknown attacks. My thesis discusses about the several network cyber
attacks we face nowadays and I created several Deep learning models to detect
accurately, I used NSL-KDD dataset which is a popular dataset, that contains
several network attacks. After experimenting with different deep learning models I
found some disparities in the training accuracy and validation accuracy, which is a
clear indication of overfitting. To reduce the overfitting I introduced regularization
and dropout in the models and experimented with different hyperparameters.