Weekly Timeline

Week 1

• RCR Training

• Lectures on Research from REU faculty

• Project Selection

• Meet with Faculty Advisors about the specific project tasks

Week 2

• 5/24/2021 (Day 1)

  • Read relevant research articles and current events related to our specific project

    • • 2021 Pipeline Ransomware Attack

      • 2017 Wannacry Ransomware Attack

      • Read Dissertation paper by Abdulrahman Alzahrani

• 5/25/2021 (Day 2)

  • Found four surveys and tutorials to read to give us a big picture view of the project

  • Read Ransomware in The Windows and Android Platforms by Abdulrahman Alzahrani

• 5/26/2021 (Day 3)

  • Continued Reading of surveys and tutorials

• 5/27/2021 (Day 4)

  • Construction of the abstract and the website for the project.

• 5/28/2021 (Day 5)

  • Watched and studied the fundamental topics of cybersecurity

Week 3

• 6/1/2021 (Day 1)

  • Presented Week 2 Report

  • Read Abdul's dissertation paper again

• 6/2/2021 (Day 2)

  • Read the dissertation again as a group

  • Read through ransomware survey paper as a group

  • Took individual notes on the papers

• 6/3/2021 (Day 3)

  • Read the assigned pdf Android files that included books, papers, tools

• 6/4/2021 (Day 4)

  • Read about Android Security design and architecture and Android application communication

Week 4

• 6/7/2021 (Day 1)

  • Read the dissertation again and looked for possible areas of research

  • Read about deep learning research papers

• 6/8/2021 (Day 2)

  • Read individual papers on the related works of dissertation

• 6/9/2021 (Day 3)

  • Started learning machine learning algorithms from Abdul's dissertation

• 6/10/2021 (Day 4)

  • Continued with machine learning algorithms from Abdul's dissertation

• 6/11/2021 (Day 5)

  • Reviewed Python and installed machine learning tools: Anaconda, Jupyter Notebook, and scikit learn library

Week 5

• 6/14/2021 (Day 1)

  • Tried to obtain the dataset but encountered problems.

  • Reworked our plan for this week

• 6/15/2021 (Day 2)

  • Researched and finished our case study poster of Colonial pipeline ransomware attack

• 6/16/2021 (Day 3)

  • Performed more technical research on the colonial pipeline attack.

  • Encountered more issues so we worked on our slides for presentation until problems and questions are solved

• 6/17/2021 (Day 4)

  • Got our dataset from Abdul.

  • Learned KNN and implemented the dataset on jupyterlab

  • Fixed our presentation slides

• 6/18/2021 (Day 5)

  • Reviewed everything we have done so far and prepared for the midterm presentation

Week 6

• 6/21/2021 (Day 1)

  • Midterm presentation

  • Looked up how to root specific android devices

  • Listed the tools used in the RanDetector framework

• 6/22/2021 (Day 2)

  • Continued with the tasks from Day 1

• 6/23/2021 (Day 3)

  • Picked up Android device.

  • Continued research on installing RanDetector tools

• 6/24/2021 (Day 4) and 6/25/2021 (Day 5)

  • Continued research and looked for ways to safely setup the RanDetector framework.

  • Keep working and playing with machine learning algorithms

Week 7

• 6/28/2021 (Day 1)

  • Started studying Naive Bayes algorithm

• 6/29/2021 (Day 2)

  • Studied and implemented Naive Bayes algorithm as a group using anaconda

• 6/30/2021 (Day 3)

  • Started researching what an SMO is and how to implement it

  • Found a python code online that implements SVM with SMO

• 7/1/2021 (Day 4)

  • Continued with yesterday's work and tried to implement it with Abdul's dataset

• 7/2/2021 (Day 5)

  • Started looking at feature selection algorithms to reduce the dataset for Naive Bayes and SMO