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Understanding Network Hacks [electronic resource] : Attack and Defense with Python 3 /

By: Contributor(s): Material type: TextTextPublisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2021Edition: 2nd ed. 2021Description: XV, 220 p. 37 illus. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783662621578
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 004 23
LOC classification:
  • QA75.5-76.95
Online resources:
Contents:
Installation -- Networks 4 newbies -- Python Basics -- Layer 2 attacks -- TCP / IP Tricks -- WHO IS DNS? -- HTTP Hacks -- Wifi fun -- Feeling Bluetooth on the Tooth -- Bargain Box Kung Fu -- Scapy Reference -- Secondary Links -- Index.
In: Springer Nature eBookSummary: This book explains how to see one's own network through the eyes of an attacker, to understand their techniques and effectively protect against them. Through Python code samples the reader learns to code tools on subjects such as password sniffing, ARP poisoning, DNS spoofing, SQL injection, Google harvesting, Bluetooth and Wifi hacking. Furthermore the reader will be introduced to defense methods such as intrusion detection and prevention systems and log file analysis by diving into code. This book addresses interested Python programmers who want to learn about network coding and to administrators, who want to actively check the security of their systems and networks. The content should also be useful for white, gray and black hat hackers, who prefer Python for coding. You neither need deep knowledge on how computer networks are build up nor in programming.
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Installation -- Networks 4 newbies -- Python Basics -- Layer 2 attacks -- TCP / IP Tricks -- WHO IS DNS? -- HTTP Hacks -- Wifi fun -- Feeling Bluetooth on the Tooth -- Bargain Box Kung Fu -- Scapy Reference -- Secondary Links -- Index.

This book explains how to see one's own network through the eyes of an attacker, to understand their techniques and effectively protect against them. Through Python code samples the reader learns to code tools on subjects such as password sniffing, ARP poisoning, DNS spoofing, SQL injection, Google harvesting, Bluetooth and Wifi hacking. Furthermore the reader will be introduced to defense methods such as intrusion detection and prevention systems and log file analysis by diving into code. This book addresses interested Python programmers who want to learn about network coding and to administrators, who want to actively check the security of their systems and networks. The content should also be useful for white, gray and black hat hackers, who prefer Python for coding. You neither need deep knowledge on how computer networks are build up nor in programming.

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