- Mastering Machine Learning for Penetration Testing
- Chiheb Chebbi
- 246字
- 2021-06-25 21:02:58
版權信息
Mastering Machine Learning for Penetration Testing
Develop an extensive skill set to break self-learning systems using Python
BIRMINGHAM - MUMBAI
Mastering Machine Learning for Penetration Testing
Copyright ? 2018 Packt Publishing
All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.
Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing or its dealers and distributors, will be held liable for any damages caused or alleged to have been caused directly or indirectly by this book.
Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.
Commissioning Editor: Vijin Boricha
Acquisition Editor: Heramb Bhavsar
Content Development Editor: Nithin George Varghese
Technical Editor: Komal Karne
Copy Editor: Safis Editing
Project Coordinator: Virginia Dias
Proofreader: Safis Editing
Indexer: Tejal Daruwale Soni
Graphics: Tom Scaria
Production Coordinator: Aparna Bhagat
First published: June 2018
Production reference: 1260618
Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham
B3 2PB, UK.
ISBN 978-1-78899-740-9
- 高校網絡道德教育研究
- Web Application Development with R Using Shiny
- Proxmox High Availability
- Getting Started with WebRTC
- SSL VPN : Understanding, evaluating and planning secure, web/based remote access
- 計算機網絡與通信(第2版)
- 電力物聯網工程技術原理與應用
- TD-LTE無線網絡規劃與設計
- Android UI Design
- 設備監控技術詳解
- 一本書讀懂TCP/IP
- 中國互聯網發展報告2021
- 網絡安全之道
- 物聯網與智慧廣電
- ReasonML Quick Start Guide