Description: This textbook is a valuable resource for anyone interested in the subject of security, specifically in the areas of viruses and malware detection and attribution. The authors, Joshua Saxe and Hillary Sanders, provide a comprehensive guide to the field of malware data science, covering topics such as security networks, virus detection, and attribution. Published by No Starch Press, Incorporated in 2018, this trade paperback edition is 272 pages long and measures 9.2 inches in length, 7 inches in width, and 0.7 inches in height. The book is written in English and is an excellent addition to any security professional's library.
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Location: Rome, Georgia
End Time: 2024-11-03T19:59:35.000Z
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All returns accepted: ReturnsNotAccepted
Release Year: 2018
Book Title: Malware Data Science: Attack Detection and Attribution
Number of Pages: 272 Pages
Publication Name: Malware Data Science : Attack Detection and Attribution
Language: English
Publisher: No Starch Press, Incorporated
Publication Year: 2018
Subject: Security / Viruses & Malware, Security / General, Security / Networking
Item Height: 0.7 in
Item Weight: 21.9 Oz
Type: Textbook
Subject Area: Computers
Author: Joshua Saxe, Hillary Sanders
Item Length: 9.2 in
Item Width: 7 in
Format: Trade Paperback