In the Spring 2019 we will be offering Cloud Computing (COMP 529) using AWS Cloud Computing Architect curriculum

As I am working through the AWS Academy Cloud Computing Architecture – Instructor Accreditation, we are going to offer COMP 529, our Cloud Computing course in the Computer Science masters program, using the AWS curriculum. This is a service offered through the AWS Academy. The students who complete the course will be ready to take the AWS Cloud Solutions Architect certification.

The first lecture will be on Thursday January 24, 2019, in Sierra Hall 1131 (the Computer Science Networking & Security Lab).

SEAKER presentation at CI on August 7 at 6pm in DEL NORTE 1530

seaker

“Storage Evaluator And Knowledge Extraction Reader”

On Monday August 7, at 6pm, in DEL NORTE 1530, the COMP 524 (Cybersecurity) students will present their final project, a technical solution for the SoCal High Technology Task Force in Ventura. This project implements a digital forensic tool with strict performance requirements.

We used GitHub as the software repository, Dropbox Paper for the documentation Wiki, and AWS S3 for distribution of the production version of the software.

You are cordially invited to attend; the presentation will take about two hours, and there will be snacks (Short link to this post: https://wp.me/p7D4ee-FJ).

Digital Forensics and Security Toolkit to be made available online

My student Mattias Huber presenting a tool for detecting Malware at the CSU Channel Islands Computer Science Capstone Showcase on May 11, 2017.

This tool can be used to upload a target file, directory, or URL to Virus Total, a website that scans the target with around 60 virus scanners from the industry. If the target is not already in the Virus Total database, the scan will be queued and completed shortly. As this is an asynchronous process, this tool is useful in uploading jobs, checking if jobs have completed, and displaying reports on completed jobs. The system also keeps track of all files uploaded, performs checks on already uploaded files to save bandwidth, saves all completed reports in a list, and all positive reports in a separate list.

Utilizing Amazon Web Services (AWS), Elastic Compute Cloud (EC2), and Simple Storage Service (S3), this system can be set up allow users to place files into a S3 bucket which will then be scanned automatically and user can be notified of any possible positives found.

  1. The User places a file they wish to scan into the S3 bucket, such as http://mybucket.s3.amazonaws.com
  2. A dedicated EC2 instance watches the bucket, detects the new file, and uploads the file to Virus Total.
  3. The EC2 instance waits until Virus Total returns a completed report.
  4. If any positives are found the instance notifies the user, otherwise the report is added to the completed list.

Virus total has a public API that is limited to 6 uploads per minute, but CSU Channel Islands was granted research API access which is limited to 600 uploads per minute.

Mattias is going to make this tool available for everyone through GitHub.

Capstone Showcase Spring 2017; see here for more details and here for more pictures. And click here for the presentation poster.

Running experiments on AWS

I can’t say how happy I am to have AWS. I just got the account set up, started my first instance, and run a simulation for a very interesting project that I am working on with Ryan McIntyre (a student in CS). What took about 15min on my Mac Pro quad core, took 1m40s on the AWS instance.

This is a brave new world! 🙂 . Here us the summary of the experiment:

~/EdgeGraph/EdgeGraph$ time python3 cover_vs_edges.py 
How many vertices? 7
Generating graphs...
Filtering isomorphisms...
Sorting graphs...
Checking up to 21 edges...
0 / 21 edges complete.
1 / 21 edges complete.
2 / 21 edges complete.
3 / 21 edges complete.
4 / 21 edges complete.
5 / 21 edges complete.
6 / 21 edges complete.
7 / 21 edges complete.
8 / 21 edges complete.
9 / 21 edges complete.
10 / 21 edges complete.
11 / 21 edges complete.
12 / 21 edges complete.
13 / 21 edges complete.
14 / 21 edges complete.
15 / 21 edges complete.
16 / 21 edges complete.
17 / 21 edges complete.
18 / 21 edges complete.
19 / 21 edges complete.
20 / 21 edges complete.
21 / 21 edges complete.
elapsed time: --- 96.4 seconds ---

real 1m40.000s
user 1m36.812s
sys 0m0.113s