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Defending IoT Infrastructures with the Raspberry Pi: Monitoring and Detecting Nefarious Behavior in Real Time
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About Defending IoT Infrastructures With The Raspberry
Product Description 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 LearnCreate a secure, operational Raspberry Pi IoT sensorConfigure and train the sensor using “normal” IoT behaviorEstablish analytics for detecting aberrant activitiesGenerate real-time alerts to preempt attacksIdentify and report data-leakage events originating from IoT devicesDevelop custom Python applications for cybersecurityWho 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 From the Back Cover 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 sensorConfigure and train the sensor using “normal” IoT behaviorEstablish analytics for detecting aberrant activitiesGenerate real-time alerts to preempt attacksIdentify and report data-leakage events originating from IoT devicesDevelop custom Python applications for cybersecurity About the Author 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
