Chet Hosmer is the founder of Python Forensics, Inc., a nonprofit organization focused on the collaborative development of open source investigative technologies using the Python programming language. He has been researching and developing technology and training related to forensics, digital investigation, and steganography for over two decades. He has made numerous appearances to discuss emerging cyber threats, including National Public Radio's Kojo Nnamdi show, ABC's Primetime Thursday, NHK Japan, CrimeCrime TechTV, and ABC News Australia. He has been a frequent contributor to technical and news stories relating to cybersecurity and forensics and has been interviewed and quoted by IEEE, The New York Times, The Washington Post, Government Computer News, Salon.com, and Wired Magazine.
Chet has authored five books within the cybersecurity domain, ranging from data hiding to forensics. He serves as a visiting professor at Utica College in the cybersecurity graduate program. He is also an adjunct faculty member at Champlain College in the Digital Forensic Science masters program. He delivers keynote and plenary talks on various cybersecurity-related topics around the world each year.
Apply a methodology and practical solutions for monitoring the behavior of the Internet of Things (IoT), industrial control systems (ICS), and other critical network devices with the inexpensive Raspberry Pi. With this book, you will master passive monitoring and detection of aberrant behavior, and learn how to generate early indications and warning of attacks targeting IoT, ICS, and other critical network resources.
Defending IoT Infrastructures with the Raspberry Pi provides techniques and scripts for the discovery of dangerous data leakage events emanating from IoT devices. Using Raspbian Linux and specialized Python scripts, the book walks through the steps necessary to monitor, detect, and respond to attacks targeting IoT devices.
There are several books that cover IoT, IoT security, Raspberry Pi, and Python separately, but this book is the first of its kind to put them all together. It takes a practical approach, providing an entry point and level playing field for a wide range of individuals, small companies, researchers, academics, students, and hobbyists to participate.
What You’ll Learn:
Create a secure, operational Raspberry Pi IoT sensor
Configure and train the sensor using “normal” IoT behavior
Establish analytics for detecting aberrant activities
Generate real-time alerts to preempt attacks
Identify and report data-leakage events originating from IoT devices
Develop custom Python applications for cybersecurity