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Mastering Machine Learning for Penetration Testing

You're reading from   Mastering Machine Learning for Penetration Testing Develop an extensive skill set to break self-learning systems using Python

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Product type Paperback
Published in Jun 2018
Publisher Packt
ISBN-13 9781788997409
Length 276 pages
Edition 1st Edition
Languages
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Author (1):
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Chiheb Chebbi Chiheb Chebbi
Author Profile Icon Chiheb Chebbi
Chiheb Chebbi
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Table of Contents (13) Chapters Close

Preface 1. Introduction to Machine Learning in Pentesting FREE CHAPTER 2. Phishing Domain Detection 3. Malware Detection with API Calls and PE Headers 4. Malware Detection with Deep Learning 5. Botnet Detection with Machine Learning 6. Machine Learning in Anomaly Detection Systems 7. Detecting Advanced Persistent Threats 8. Evading Intrusion Detection Systems 9. Bypassing Machine Learning Malware Detectors 10. Best Practices for Machine Learning and Feature Engineering 11. Assessments 12. Other Books You May Enjoy

Chapter 7 – Detecting Advanced Persistent Threats

  1. Which of the following is not a step in the cyber kill chain?

(a) Scanning

  1. Which of the following options is not a node of the diamond model of intrusion
    analysis?

(c) Procedures

  1. How many parts are needed in a Logstash configuration file?

(b) 3

  1. In ElasticSearch, what is indexing?

(a) The process of storing data in an index

  1. In Elasticsearch, what is a node?

(a) An instance of Elasticsearch

  1. In Elasticsearch, what is a shard?

(c) Shared resources (RAM, vCPU)

  1. Does Elasticsearch have a schema?

(a) Yes

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