Special Topics in Cybersecurity.
Session
Regular Academic Session
Class Number
11608
Career
Graduate
Units
3 units
Grading
Graded
Topic
Advanced Malware Analysis
Description
Courses on specialized or emerging cybersecurity topics offered on a timely or as-needed basis. This course can be repeated for credit. The description of the actual topic I list in the "note section" in the Schedule of Classes.
Enrollment Requirements
You must have completed CYBR 620 with a grade of C or better.
Class Attributes
Cybersecurity
Notes
WILL MEET SYNCHRONOUSLY AT THE DAY/TIME LISTED Advanced Malware Analysis introduces students to the world of malware analysis, but from a data science perspective. Instead of looking at specific malware samples, we will look at collections of malware and goodware to see where we may find differences. We will look at how to extract useful features from collections of goodware and malware, and how to leverage machine learning algorithms to create models to differentiate between the two. Since this is a unique problem domain, traditional approaches which are useful for natural language processing or image analysis don't translate well to the malware problem. Students will learn about new ways of thinking about binary sequences, and how this joint perspective of cyber security and data science may work together to improve the skillsets of practitioners in both fields. Topics covered: Executable file formats, assembly, disassemblers, machine learning algorithms, malware analysis. Requirements: Cybersecurity students: CYBER 620 Data Science students: DATA601 and DATA602. All students: Must have a laptop with 8 GB RAM (16GB or more preferred) and able to run virtual machines; must be proficient with Python; must have a basic understanding of computer security to prevent accidental execution of live malware samples. Students outside of the CYBR program, both graduate and undergraduate, wishing to take this course must request permission via this Google form: cyberia.umbc.edu
Class Actions
Book Store
Similar Classes
Class Details
Instructor(s)
Richard Zak
Meets
TBA
Dates
01/26/2021 - 05/12/2021
Room
TBA
Instruction Mode
Online
Campus
Main Campus
Location
Univ of MD, Baltimore County
Components
Lecture Required
Class Availability
Status
Closed
Seats Taken
0
Seats Open
25
Class Capacity
25
Wait List Total
0
Wait List Capacity
0