Defending IoT Infrastructures with the Raspberry Pi

Monitoring and Detecting Nefarious Behavior in Real Time

Chet Hosmer

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Naturwissenschaften, Medizin, Informatik, Technik / Informatik

Beschreibung

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 andlevel 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

Who This Book Is For

Cybersecurity specialists, professors teaching in undergraduate and graduate programs in cybersecurity, students in cybersecurity and computer science programs, software developers and engineers developing new cybersecurity defenses, incident response teams, software developers and engineers in general, and hobbyists wanting to expand the application of Raspberry Pi into both IoT and cybersecurity

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Schlagwörter

Data Leak Detection, Detection Sensors, Raspberry Pi Sensors, Python Cybersecurity Applications, IoT Attack Vectors, Network Monitoring, Python, Forensics, Raspberry Pi, Cybersecurity, Chet Hosmer, Internet of Things (IoT), Modelling IoT