Malicious Files Identification via Machine Learning Models - Computer Science Assignment Help

Assignment Task

Product Development Grant

TOBORRM’s has received an industry grant to develop malware detection algorithms based on behaviours and file parameters. The software development team at TOBORRM wrote a file-download identifier that scoured the internet for downloadable content. The goal was to develop a data set that can be used to identify malware based on parameters such:

• Where the file came from
• How big the file was What type of file it is
• as well as many other characteristics (or features)

TASK

You are to train your selected supervised machine learning algorithms using the master dataset provided, and compare their performance to each other and to TOBORRM’s initial attempt to classify the samples

Write the appropriate code in R Studio to partition the data into training and test sets using an 30/70 split. Be sure to set the randomisation seed using your student ID. Export both the training and test datasets as csv files, and these will need to be submitted along with your code.

Evaluate the performance of each ML models on the test set. Provide the confusion matrices and report the following:

• Sensitivity (the detection rate for actual malicious samples)
• Specificity (the detection rate for actual non-malicious samples)
• Overall Accuracy

Provide a brief statement on your final recommended model and why you chose that model over the others. Parsimony, accuracy, and to a lesser extent, interpretability should be taken into account.

This Computer Science Assignment has been solved by our Computer Science experts at My Uni Paper. Our Assignment Writing Experts are efficient to provide a fresh solution to this question. We are serving more than 10000+ Students in Australia, UK & US by helping them to score HD in their academics. Our Experts are well trained to follow all marking rubrics & referencing style.
Be it a used or new solution, the quality of the work submitted by our assignment experts remains unhampered. You may continue to expect the same or even better quality with the used and new assignment solution files respectively. There’s one thing to be noticed that you could choose one between the two and acquire an HD either way. You could choose a new assignment solution file to get yourself an exclusive, plagiarism (with free Turnitin file), expert quality assignment or order an old solution file that was considered worthy of the highest distinction.