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Record Nr. |
UNINA9910300757203321 |
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Autore |
Hosmer Chet |
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Titolo |
Defending IoT Infrastructures with the Raspberry Pi : Monitoring and Detecting Nefarious Behavior in Real Time / / by Chet Hosmer |
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Pubbl/distr/stampa |
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Berkeley, CA : , : Apress : , : Imprint : Apress, , 2018 |
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ISBN |
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Edizione |
[1st ed. 2018.] |
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Descrizione fisica |
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1 online resource (XV, 178 p. 68 illus.) |
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Disciplina |
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Soggetti |
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Data protection |
Python (Computer program language) |
Computer input-output equipment |
Security |
Python |
Hardware and Maker |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di contenuto |
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Chapter 1: IoT Vulnerabilities -- Chapter 2: Classifying and Modeling IoT Behavior -- Chapter 3: Raspberry Pi Configuration and PackerRecorder.py Enhancements -- Chapter 4: Raspberry Pi as a Sensor -- Chapter 5: Operating the Raspberry Pi Sensor -- Chapter 6: Adding Finishing Touches -- Chapter 7: Future Considerations -- Appendix: Obtaining the Python Source Code -- Glossary -- . |
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Sommario/riassunto |
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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 |
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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. |
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