Malware Data Science: Attack Detection and Attribution
| Autor | Joshua Saxe, Hillary Sanders |
| 7698631851 | |
| Idioma | Germany - English |
| Terminal correspondiente | Android|iPhone|iPad|PC |
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- Identify malware campaigns, trends, and relationships through data visualization Whether you're a malware analyst looking to add skills to your existing arsenal, or a data scientist interested in attack detection and threat intelligence, Malware Data Science will help you stay ahead of the curve.
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Malware Data Science: Attack Detection and Attribution Joshua Saxe. Taschenbuch. EUR 30,99. The Hardware Hacking Handbook: Breaking Embedded Security with Hardware Attacks Jasper van Woudenberg. Taschenbuch. EUR 36,40. Attacking Network Protocols: A Hacker's Guide to Capture, Analysis, and Exploitation James Forshaw. 5,0 von 5 Sternen 1. Taschenbuch. EUR 30,99. The Hacker Playbook 3: Practical ...
Malware Data Science: Attack Detection and Attribution; PoC||GTFO, Volume 2; Practical Binary Analysis: Build Your Own Linux Tools for Binary Instrumentation, Analysis, and Disassembly; Die ...
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Zwischen einem und 15 Dollar müsst ihr dafür bezahlen. Ihr erhaltet unter anderem A Bug Hunter’s Diary: A Guided Tour Through the Wilds of Software Security, Attacking Network Protocols: A Hacker’s Guide to Capture, Analysis, and Exploitation und Malware Data Science: Attack Detection and Attribution. Das Bundle ist nur noch zwei Tage ...
Malware analysis is a cat-and-mouse game with rules that are constantly changing, so make sure you have the fundamentals. Whether you're tasked with securing one network or a thousand networks, or you're making a living as a malware analyst, you'll find what you need to succeed in Practical Malware Analysis.
APT-Gruppen sind vor allem für ihre oft professionell entwickelten Schadprogramme bekannt. Diese spielen bei Angriffen in der Tat eine zentrale Rolle. Allerdings bergen sie auch eine Fülle
Die Systematisierung dieser Überlegungen wird als ANOVA-Modell der Attribution bezeichnet. In diesem Modell wird zusätzlich die Attribution auf besondere Umstände berücksichtigt, die immer dann möglich wird, wenn ein Ereignis im zeitlichen Verlauf unregelmäßig auftritt. Das ANOVA-Modell berücksichtigt gleichzeitig mehrere ...
Zusammenfassung. Cybersicherheit ist die Basis für eine erfolgreiche Digitalisierung und für Innovationen in allen Branchen, z. B. in der digitalen Produktion (Industrie 4.0), der smarten Energieversorgung, in der Logistik und Mobilität, der Gesundheitsversorgung, der öffentlichen Verwaltung oder auch in Cloud-basierten Dienstleistungen.
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Getting started with Security Center’s Fileless Attack Detection. Fileless Attack Detection supports both Azure IaaS VMs and virtual machines that run on other clouds or on-premises. Supported operating systems include: Windows Server 2008 R2 and higher, and Windows 7 client and higher.
