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A Hands-On Lab for Macro Malware Detection using Machine Learning on Virtual Machines

Published: 26 February 2020 Publication History

Abstract

We developed a hands-on lab for students to learn macro malware detection using decision trees on an open sourced data analytics software, HPCC, running on a virtual machine. The labware along with required software and documents are freely available at our project website. Our design is low cost, customizable and can be easily replicated to other institutions. Our experience shows that students have difficulties in configuring software environment for the lab. The virtual machine approach allows pre-configurations for datasets and required software installations and setting to facilitate students' learning and instructors' teaching. Since students are working on malware, the virtual machine provides an isolated network environment for testing without affecting normal operating network. This lab design can also be integrated into online courses by simply downloading and installing the customized virtual machine.

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cover image ACM Conferences
SIGCSE '20: Proceedings of the 51st ACM Technical Symposium on Computer Science Education
February 2020
1502 pages
ISBN:9781450367936
DOI:10.1145/3328778
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 February 2020

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Author Tags

  1. computer science education
  2. cybersecurity
  3. information security
  4. virtual machines
  5. virtualization

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SIGCSE '20
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Overall Acceptance Rate 1,595 of 4,542 submissions, 35%

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SIGCSE TS 2025
The 56th ACM Technical Symposium on Computer Science Education
February 26 - March 1, 2025
Pittsburgh , PA , USA

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