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| Name | Comparative Analysis of Multilevel Attack Detection and Automotive Preventing Scheme using ML |
| Video Uploader | Video From Phdtopic. com |
| Upload Date | This Video Uploaded At 04-07-2024 07:49:41 |
| Video Discription | Title: - Digital twin-based multilevel attack detection and automotive preventing scheme using machine learning and deep learning approaches Implementation plan: Step 1: Initially, we construct a network consisting of 50-Sensor Nodes, 2- Gateways, 1-Server. Step 2: Then, we collect the wustl_iiot_2021 dataset and preprocess using the regression imputation and z-score normalization. Step 3: Next, we feature selection and extraction, using Decision tree and (PCA) Principal Component Analysis respectively. Step 4: Then, we implement SCADA authentication through Modbus IACS and Message Authentication Codes (MACs). Step 5: Next, we Classify the signature based attacks using CNN-NGBoost-NB with SPO algorithms. Step 6: Then, we implement the GAN-ANN (Generative Adversarial Neural networks with Autoencoder Neural Network ) for preventing the attacks efficiently. Step 7: Finally, we plot performance for the following metrics: 7.1: False alarm rate (%) vs. detection rate (%) 7.2: Access times vs. authentication rate (%) 7.3: Number of iterations vs. Accuracy (%) 7.4: Number of sensor vs. F-Measure (%) 7.5: Number of sensor vs. Precision (%) Software Requirement: -------------------------------- 1. Development Tool: Ns-3.35 with python 2. Operating System: Ubuntu- 22.04 Dataset: ------------ https://ieee-dataport.org/documents/wustl-iiot-2021 Note: --------- 1) If the above plan does not satisfy your requirement, please provide the processing details, like the above step-by-step. 2) Please note that this implementation plan does not include any further steps after it is put into implementation. 3) If the above plan satisfies your requirement please confirm with us. 4) We develop simulation based projects only, not in real time. We will implement an existing project: Reference 4 --- [Title: Deep Learning-based Intrusion Detection Approach for Securing Industrial Internet of Things] ------------------------------------------------------------------------- 1. #MultilevelAttackDetection 2. #AutomotivePreventingScheme 3. #MachineLearningSecurity 4. #CybersecurityAnalysis 5. #VehicleSafetyTech 6. #AIinAutomotiveSecurity 7. #IntrusionDetectionSystem 8. #SmartCarProtection 9. #DataSecurityAnalysis 10. #ArtificialIntelligenceDefense ------------------------------------------------------------------------------------- We are pleased to offer our assistance to research scholars in providing guidance on a wide range of topics and ideas for their research endeavours. In the above-mentioned video, we have provided support to our research scholars in their selection of PhD topics. mail us at : topicphd@gmail.com visit us at : https://phdtopic.com/ call us at : +91 900 344 6899 5AUn9Jk15q4 |
| Category | People & Blogs |
| Tags | MultilevelAttackDetection | AutomotivePreventingScheme | MachineLearningSecurity | CybersecurityAnalysis | VehicleSafetyTech | AIinAutomotiveSecurity | IntrusionDetectionSystem | SmartCarProtection | DataSecurityAnalysis | ArtificialIntelligenceDefense |
