A COMPARATIVE BEHAVIOURAL STUDY OF MACHINE LEARNING AND DEEP LEARNING MODELS FOR NETWORK INTRUSION DETECTION ACROSS DATASETS OF DIFFERING STATISTICAL CHARACTER /
সংরক্ষণ করুন:
| প্রধান লেখক: | |
|---|---|
| সংস্থা লেখক: | |
| বিন্যাস: | গ্রন্থ |
| ভাষা: | ইংরেজি |
| প্রকাশিত: |
Dhaka :
EECE DEPT. MIST,
c2026.
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| বিষয়গুলি: | |
| ট্যাগগুলো: |
কোনো ট্যাগ নেই, প্রথমজন হিসাবে ট্যাগ করুন!
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অনুরূপ উপাদানগুলি: A COMPARATIVE BEHAVIOURAL STUDY OF MACHINE LEARNING AND DEEP LEARNING MODELS FOR NETWORK INTRUSION DETECTION ACROSS DATASETS OF DIFFERING STATISTICAL CHARACTER /
- AN ADVERSARIAL APPROACH FOR INTRUSION DETECTION USING DEEP LEARNING /
- DEEP LEARNING BASED MULTIPLE OBJECT DETECTION AND DISTANCE MANAGEMENT FROM CUSTOM-BUILT DATASET WITH HETEROGENIOUS TRAFFIC /
- Deep learning /
- ADAPTIVE AND AGGREGATED MODEL FUSION FOR FEDERATED INTRUSION DETECTION IN HETEROGENEOUS EDGE NETWORKS /
- A COMPREHENSIVE STUDY OF DEEP LEARNING, TEMPORAL ANALYSIS AND SEMANTIC-ANOMALY SUSION FOR IOT AND IIOT INTRUSION DETECTION /
- Deep learning with python /