PASSIVE PYTHON NETWORK MAPPING: P2NMAP

Python Passive Network Mapping: P2NMAP is the first book to reveal a revolutionary and open source method for exposing nefarious network activity.

The "Heartbleed" vulnerability has revealed significant weaknesses within enterprise environments related to the lack of a definitive mapping of network assets. In Python Passive Network Mapping, Chet Hosmer shows you how to effectively and definitively passively map networks. Active or probing methods to network mapping have traditionally been used, but they have many drawbacks - they can disrupt operations, crash systems, and - most importantly - miss critical nefarious activity. You require an accurate picture of the environments you protect and operate in order to rapidly investigate, mitigate, and then recover from these new attack vectors. This book gives you a deep understanding of new innovations to passive network mapping, while delivering open source Python-based tools that can be put into practice immediately.

Python Passive Network Mapping is for practitioners, forensic investigators, IT teams, and individuals who work together when performing incident response and investigating potential damage, or are examining the impacts of new malware threats. Those defending critical infrastructures will have a special interest in this book, as active or probing methods of network mapping are rarely used within these environments as any resulting impacts can be disastrous. Python Passive Network Mapping is ideally suited for use as a text in a variety of academic programs to expose and engage students in the art of passively mapping enterprise networks, with the added benefit of providing exposure to open source Python solutions.

• First book to show you how to use open source Python to conduct passive network mapping
• Provides a new method for conducting incident response and investigating the extent of potential damage to your systems
• Python code forensics toolkit for network mapping included on the companion website

Chet Hosmer is a retired Assistant Professor of Practice at the University of Arizona and now serves as a Designated Campus Colleague. He previously taught in the Cybersecurity Graduate Program at Utica College and is the founder of Python Forensics, a nonprofit research and educational institution dedicated to advancing investigative capabilities through innovative research and specialized Python tools.

A recognized authority on emerging cyber threats, Chet has been featured by NPR, ABC News, Forbes, IEEE, The New York Times, The Washington Post, Government Computer News, Salon, and Wired. He is the author of seven books published by Elsevier and Apress covering passive cyber defense for OT environments, Python and PowerShell for investigators, data hiding and steganography, and IoT security. He has also delivered Congressional testimony before the House Science Committee on cybersecurity education.