[HTML][HTML] NFStream: A flexible network data analysis framework
Network traffic analytics have increased in relevance as researchers promoted machine
learning techniques to tackle several traffic management challenges. Over the past decade …
learning techniques to tackle several traffic management challenges. Over the past decade …
The Missing Link in Network Intrusion Detection: Taking AI/ML Research Efforts to Users
K Dietz, M Mühlhauser, J Kögel, S Schwinger… - IEEE …, 2024 - ieeexplore.ieee.org
Intrusion Detection Systems (IDS) tackle the challenging task of detecting network attacks as
fast as possible. As this is getting more complex in modern enterprise networks, Artificial …
fast as possible. As this is getting more complex in modern enterprise networks, Artificial …
Malware detection using convolutional neural network, a deep learning framework: Comparative analysis
Malware detection is a quintessential task for every security for securing work stations,
mobile devices, servers etc. This detection is mainly used for identifying malware that are …
mobile devices, servers etc. This detection is mainly used for identifying malware that are …
[PDF][PDF] The Missing Link in Network Intrusion Detection: Taking AI/ML Research Efforts to Users
J KÖGEL, S SCHWINGER, M SICHERMANN - 2024 - opus.bibliothek.uni-augsburg.de
ABSTRACT Intrusion Detection Systems (IDS) tackle the challenging task of detecting
network attacks as fast as possible. As this is getting more complex in modern enterprise …
network attacks as fast as possible. As this is getting more complex in modern enterprise …
Study and Comparison of Malware Detection Using Deep Learning Techniques
GG Behera, AK Mishra - Computing, Communication and …, 2025 - taylorfrancis.com
Improvements in computer technology have resulted in increasing virtual living, shifting the
focus of cybercriminals to the online realm. Committing crimes online is easier, leading to …
focus of cybercriminals to the online realm. Committing crimes online is easier, leading to …