Title 1: Aerial Supervision of Drones and Other Flying Objects Using Convolutional Neural Networks
Target: ICAIIC 2022 Conference (Accepted)
Title 2: Enhanced Deep Learning Scheme Based On PANet for Real-Time Detection of Tomato Diseases.
Target: IEEE Intelligent Systems (Under Review)
Title 3: Hierarchical Intrusion Detection System for Secured Military Drone Network: A Perspicacious
Approach
Target: MILCOM 2022 (Accepted)
Title 4: VisioNET Dataset: An Aerial Dataset for Scenario-Based Multi-Drone Detection and Identification
Research (Anti-drone project)
Target: IEEE Transactions on Aerospace and Electronic Systems
Title 5: Scalable Out-of-Core Learning Model for Intrusion Detection System on the Internet of Drones
Target: KICS Summer 2022 (Accepted)
Title 6: Vision-Based Framework for Aerial Recognition of Drones and Birds in Ground-to-Air Networks
Target: IoT Elsevier (Submitted)
Title 7: Cyber Edge Intelligent Intrusion Detection Framework For UAV Network Based on Random Forest
Algorithm
Target: ICTC 2022 (Accepted)
Title 8: Efficient Intrusion Detection Model for Securing the Communication Links of Internet of Drone
Network (Summer Intensive)
Target: IEEE Internet of Things (Under review)
Title 9: RF-RSCV: Robust Security Framework Against Intrusions in the Internet of Drone Communication
Networks
Target: Journal of Communications and Networks (Under review)
Title 10: Mobility-Compliant Model in Drone-Based Sniffing Technique for Aerial Surveillance and Security
Target: KICS Fall 2022 (Accepted)
Title 11: Federated Learning-Based Intelligent Intrusion Detection Framework for Edge-Assisted UAV
Network (Winter Intensive)
Target: IEEE Access (Tentative)
Title 2: Under review
Title 6: Under review
Title 8: Under review
Title 9: Under review
Title 11:
i. Implemented the proposed averaging function
ii. Evaluated the performance of the proposed averaging function and compared it with existing algorithms
iii. Ascertained the efficiency of the proposed function in terms of timeliness to attack detection
iv. Run simulations for time complexity analysis
v. Continue with paper writing
Title 2: Under review
Title 6: Under review
Title 8: Under review
Title 9: Under review
Title 11:
i. Run more simulations to validate the impact of clients selection and model variability
ii. Evaluate the robustness of the proposed model in terms of scalability and discuss results
iii. Prepare PowerPoint for the last stage of the winter intensive
iv. Continue with paper writing
Development of a Blockchain-based Model for Medical IoT Surgical Robot
i. Researched on data privacy and preservation issues in medical records
ii. Researched on the limitations and challenges in the development of digital certificates
i. Begin paper writing regarding task allocation and project specification
i. Complete and submit my winter intensive to the review committee (In progress)
ii. Become proficient in FL simulations (70%)
iii. Begin my thesis
iv. Acquire in-depth knowledge of the various ML and DL algorithms (85% progress)
v. Full grasp of the concept and application of FL techniques (80%)
vi. Begin and excel on the journey to R programming for Big data analysis (60%)
i. Submission of at least 4 journals (Achieved)
ii. Acquire at least 2 journal publications (in the pipeline)
iii. Submit and get acceptance to all domestic and international conferences approved by professor
iv. Design a hybrid model for optimal drone detection:
Vision technique: (100% completed)
Sniffing technique: (20%) (paused)
v. Become an AI expert in both ML and DL techniques (still progressing)