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: Computer Vision and Image Understanding Journal (Under Review)
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. Gathered and preprocessed the available dataset
ii. Continued with paper writing and literature surveys
Title 2: Under review
Title 6: Under review
Title 8: Under review
Title 9: Under review
Title 11:
i. Debug errors in code and complete FL simulation
ii. Design the system model
iii. Continue with paper writing
Development of a Blockchain-based Model for Medical IoT Surgical Robot
i. Surveyed more papers to get the limitations of existing systems
ii. Brainstormed with team members on model design
i. Complete and submit the project proposal
ii. Have a brainstorming session with the Blockchain team to arrive at a consensus for the acceleration of
the project
iii. Continue with literature survey
i. Achieve substantial success in my winter intensive (In progress)
ii. Become proficient in FL simulation
iii. Submit an article for KICS conference
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 (60%)
vi. Begin and excel on the journey to R programming (60%)
i. Submission of at least 4 journals (Achieved)
ii. Submit and get acceptance to all domestic and international conferences approved by professor
iii. Design a hybrid model for optimal drone detection:
Vision technique: (100% completed)
Sniffing technique: (20%) (paused)
iv. Become an AI expert in both ML and DL techniques (still progressing)