Papers

Paper 1: Deep-Block: Blockchain-assisted Secure and Energy Efficient UAV-BS Deployment Using Deep Learning (Target: IEEE Transaction on Vehicular Technology)

Paper 2: Anti-Drone Design Techniques and Technology: Challenges, Oppurtunities, and Future Directions (Target: IEEE Journal on Selected Areas in Communications)

Paper 3: Blockchain Inspired Intruder UAV Localization Using Lightweight CNN for Internet of Battlefield Things (Target: MILCOM 2022 [Accepted])

Paper 4: Lightweight Blockchain Assisted Unauthorized UAV Access Prevention in the Internet of Military Things (Target: ICTC 2022 [Accepted])

Last Week's Progress

Paper 3:
* Accepted

Paper 4:
* Check the grammatical and typo errors and plagiarism
* Worked on the comment from reviewer number 2 and add to the paper
* Finalize the paper and submit the camera-ready version

This Week Todo's

Paper 3:
* Start working on the reviewers comments
* Complete the first reviewer's comment to improve the system model design

Paper 1:
* Try to finish the remaining simulation on blockchain part
* Start writing the performance evaluation part

Project Progress

Black Ice Detection

Last Week's Project

* Presented the progress report to prof. Jung-Hyeon Kim and Prof. Lee
* Collected a public dataset for different road surface
* Survey papers based on luminance based detection

This Week's Project

* Start pre-processing the dataset to craete a valid dataset for the model training
* Start working on the deep learning model trainingand development

Monthly Goals

* Finish working on the review comments of the MILCOM paper for final version
* Complete the camera ready copy of the ICTC paper and submit (Done)
* Finish the Intensive paper and submit before the end of this month

Annual Goals

* Get accepted at least two SCI journal and submit as many as possible

* Attend as many competetive international conferences

* Make sure to learn and gain depth knowledge about the anti-drone system