Implementation is enhancing security against cyberattacks by utilizing hybrid optimization (ABC+SCA) to optimize a CNLSTM neural network for intrusion detection. Strengthen IoT device protection and address the increasing sophistication of cyber threats. Dynamic LoadBalancing Algo is using Q-learning, & DL models aid in identifying attacks.
-
Notifications
You must be signed in to change notification settings - Fork 0
Implementation is enhancing security against cyberattacks by utilizing hybrid optimization (ABC+SCA) to optimize a CNLSTM neural network for intrusion detection. Strengthen IoT device protection and address the increasing sophistication of cyber threats. Dynamic LoadBalancing Algo is using Q-learning, & DL models aid in identifying attacks.
dhruvsh1997/DeepLearning-Approach-of-Intrusion_Detection_against_IoT_Attacks-using-Optimized-DeepLearningModel
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Implementation is enhancing security against cyberattacks by utilizing hybrid optimization (ABC+SCA) to optimize a CNLSTM neural network for intrusion detection. Strengthen IoT device protection and address the increasing sophistication of cyber threats. Dynamic LoadBalancing Algo is using Q-learning, & DL models aid in identifying attacks.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published