Subtitled "Know Your Network", the idea behind this book, now in its third edition, is to show you how to assess network security by attacking it yourself. Author Chris McNab shows you the tools and techniques that professional security analysts use to identify and assess risks in government, military, and commercial networks.
<ASIN:149191095X>
Using the techniques in the book, you can work to create environments that are hardened and more immune from unauthorized use and attack. McNab demonstrates how determined adversaries map attack surface and exploit security weaknesses at both the network and application level.
The third edition has been completely overhauled to include details of the latest hacking techniques used to attack enterprise networks.
Author: Chris McNab Publisher: O'Reilly Date: December 2016 Pages: 456 ISBN: 978-1491910955 Print: 149191095X Kindle: B01N6E0BG2 Audience: Network analysts Level: Intermediate Category: Security
Tests are shown for system components including:
- Common services such as SSH, FTP, Kerberos, SNMP, and LDAP
- Microsoft services, including NetBIOS, SMB, RPC, and RDP
- SMTP, POP3, and IMAP email services
- IPsec and PPTP services that provide secure network access
- TLS protocols and features providing transport security
- Web server software, including Microsoft IIS, Apache, and Nginx
- Frameworks including Rails, Django, Microsoft ASP.NET, and PHP
- Database servers, storage protocols, and distributed key-value stores
Follow @bookwatchiprog on Twitter or subscribe to I Programmer's Books RSS feed for each day's new addition to Book Watch and for new reviews.
To have new titles included in Book Watch contact BookWatch@i-programmer.info
Pro Database Migration to Azure
Author: Kevin Kline et al Publisher: Apress Pages: 352 ISBN: 978-1484282298 Print: 1484282299 Kindle: B0B924H21P Audience: Managers & architects Rating: 4 Reviewer: Ian Stirk
This book aims to give you a holistic approach to migrating on-premise databases to Azure, how does it fare?
|
Foundational Python For Data Science
Author: Kennedy Behrman Publisher: Pearson Pages:256 ISBN: 978-0136624356 Print: 0136624359 Kindle: B095Y6G2QV Audience: Data scientists Rating: 4.5 Reviewer: Kay Ewbank
This book sets out to be a simple introduction to Python, specifically how to use it to work with data.
| More Reviews |
|