Malware Data Science: Attack Detection and Attribution by Joshua Saxe New Book
78.99 USD
Discover how machine learning and statistical methods dissect malicious code to trace its creators, revealing attack patterns, toolchains, and intent through data‑driven forensic insight.
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Catalist
| Brand | No Starch Press |
| ASIN | 1593278594 |
| MPN | 50442583 |
| EAN | 9781593278595 |
| ISBN | 9781593278595 |
| Height | 180 mm |
| Imprint | No Starch Press |
| ISBN | 9781593278595 |
| Languages | English |
| Number of pages | 1 |
| Publication date | 20 Sep 2018 |
| Publisher | Penguin Random House Group |
| Spine width | 22 mm |
| Weight | 604 g |
| Width | 235 mm |