Paper 1: Evaluation of Machine Learning Algorithms for Intrusion Detection in Internet of Vehicles
Target: KICS SUMMER 2024 – Accepted and Presented
Paper 2: Blockchain-Enhanced Feature-Engineered Data Falsification Detection in 6G IoV Networks
Target: IEEE IoT - Under Review
Paper 3: Resource-Aware Adaptive Federated Learning for Enhanced DDoS Detection in Vehicular Ad Hoc Networks
Target: ICTC 2024 - Accepted and Presented
Paper 4: Paper 4: Homomorphic Encryption for Privacy-Preserving Misbehavior Detection in Distributed Vehicular Networks
Target: ICAIIC 2025 - Submitted
Paper 5: Blockchain-Enhanced Intrusion Detection System for Distributed Vehicular Networks Target: KICS FALL - Accepted
Paper 6: Few-Shot Synthetic Data Augmentation for Enhanced Steel Surface Defect Detection (From Poind Project – Co-working with Adnan)
Target: JCN
Paper 7: Blockchain-Assisted Privacy-Preserving Misbehavior Detection with Homomorphic Encryption in VANETs (Tentative)
Paper 6: Finished paper writing
Paper 7: Running homomorphic encryption experiments
Paper 6: Finish paper writing
Paper 7: Continue with Homomorphic Encryption Experiments
Paper writing
PurePet: Web application UI design
Poind: Data augmentation for steel image dataset.
PurePet: Studying about thymeleaf
Setting up Spring Boot project to work with thymeleaf in order to change web application UI
Poind: Data augmentation using stable diffusion model
Finished Paper 6 writing
PurePet: Converting current pure pet web application to Spring Boot using thymeleaf
Poind: Image generation with latent diffusion on company dataset
1. Complete paper 7
2. Present paper 5 at the KICS FALL Conference
3. Simulate V2V network using SUMO and OMNET++
1. Submit at least 2 journals. (1 submitted – IEEE IoT)
2. Submit and attend at least one NSL approved domestic conference. (Achieved – KICS SUMMER 2024)
3. Submit and attend one NSL approved international conference. (Achieved – ICTC 2024)