Malware Data Science: Attack Detection and Attribution - Info and Reading Options
By Joshua Saxe and Hillary Sanders
"Malware Data Science: Attack Detection and Attribution" is published by No Starch Press in Sep 25, 2018 and it has 272 pages.
“Malware Data Science: Attack Detection and Attribution” Metadata:
- Title: ➤ Malware Data Science: Attack Detection and Attribution
- Authors: Joshua SaxeHillary Sanders
- Number of Pages: 272
- Publisher: No Starch Press
- Publish Date: Sep 25, 2018
“Malware Data Science: Attack Detection and Attribution” Subjects and Themes:
- Subjects: Computer viruses - Malware (Computer software) - Debugging in computer science - Computer security - Malware (computer software)
Edition Identifiers:
- The Open Library ID: OL26835116M - OL19544478W
- ISBN-13: 9781593278595
- ISBN-10: 1593278594
- All ISBNs: 1593278594 - 9781593278595
AI-generated Review of “Malware Data Science: Attack Detection and Attribution”:
Read “Malware Data Science: Attack Detection and Attribution”:
Read “Malware Data Science: Attack Detection and Attribution” by choosing from the options below.
Search for “Malware Data Science: Attack Detection and Attribution” downloads:
Visit our Downloads Search page to see if downloads are available.
Find “Malware Data Science: Attack Detection and Attribution” in Libraries Near You:
Read or borrow “Malware Data Science: Attack Detection and Attribution” from your local library.
- The WorldCat Libraries Catalog: Find a copy of “Malware Data Science: Attack Detection and Attribution” at a library near you.
Buy “Malware Data Science: Attack Detection and Attribution” online:
Shop for “Malware Data Science: Attack Detection and Attribution” on popular online marketplaces.
- Ebay: New and used books.