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IOT Security Learning Path

A IoT (Internet of Things) Security course focuses on securing connected devices and networks in the rapidly growing IoT ecosystem. It covers the risks and vulnerabilities specific to IoT devices, such as weak authentication and data privacy concerns. The course also explores best practices for securing IoT architectures, implementing encryption, and protecting against attacks targeting IoT systems.

Beginner
Intermediate
Expert

Introduction to IoT and Embedded Systems

Understand the basics of IoT, embedded systems, and their security challenges​

Networking & Wireless Technologies for IoT

Learn how IoT devices communicate over different networks and protocols​

Linux & Firmware Basics for IoT Security

Gain foundational Linux skills and understand IoT device firmware​

IoT Security Fundamentals

Understand key security principles related to IoT ecosystems.​

IoT Device Exploitation & Hardware Hacking

Learn how to test and exploit IoT devices at the hardware level​

Firmware Reverse Engineering & Exploitation

Understand how to analyze and exploit IoT firmware vulnerabilities​

Tool-Specific Tracks

Wireless Security & Exploiting IoT Communication Protocols

Master attacks on IoT network protocols and wireless technologies​

Cloud & Edge Security in IoT

Understand the role of cloud and edge computing in IoT security​

Certification Path:

Certified IoT Security Practitioner (CIoTSP)

GIAC Cloud Security Automation (GCSA)

IoT Pentesting & Red Teaming​

IoT Penetration Testing & Exploitation

Learn penetration testing methodologies for IoT devices

Red Teaming & Adversary Simulation for IoT

Simulate real-world adversarial attacks on IoT infrastructures

Certification Path

Certified IoT Security Expert (CIoTSE)

Offensive IoT Exploitation (OSEE-IoT)

Secure Development Practices for IoT

Learn how to design and implement secure IoT systems​

IoT Security Compliance & Standards

Understand regulatory and compliance requirements for IoT security​

Certification Path

Certified IoT Compliance Specialist (CIoTCS)​

Certified IoT Compliance Specialist (CIoTCS)​

Threat Modeling & Advanced IoT Attack Techniques

Learn how to model and assess threats against IoT environments.​

AI & Machine Learning Security in IoT

Understand how AI-driven IoT devices can be exploited and secured​

Certification Path

GIAC IoT Security (GIOT)

Certified AI Security Specialist (CAISS)​

Offensive Security IoT Specialist (OSIoT)

Hours Per Day

≈ 7-8 Months

≈ 6 Months

≈ 5 Months

System Administrator

Average Salary

$89,000 /year

What day-to-day looks like

  • System Monitoring and Maintenance
  • Design and Development
  • OS and Application Installation, Configuration, and Testing
  • Performance Monitoring
  • System Automation
  • Technical Support
  • Security and Backup
  • Continuous Improvement
  • Collaboration and Coordination

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FAQs

IoT Security protects connected devices from cyber threats.

  • Security professionals working with IoT systems.
  • Engineers developing smart devices and applications.
  • IoT attack vectors, security frameworks, and risk mitigation.
  • Securing smart home devices, industrial IoT, and medical devices.

Basic cybersecurity and networking knowledge.

  • Certified IoT Security Practitioner (CIoTSP)
  • GIAC IoT Security (GIOS)
  • IoT Security Engineer
  • Embedded Security Analyst
  • IoT Penetration Tester

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Understand the basics of IoT, embedded systems, and their security challenges.

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  • Topics Covered: What is IoT? IoT architecture, common IoT devices, IoT protocols, introduction to embedded systems.
  • Duration: 2 Weeks
  • Outcome: Gain fundamental knowledge of IoT ecosystems and embedded systems.

Learn how IoT devices communicate over different networks and protocols.

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  • Topics Covered: IoT communication protocols (MQTT, CoAP, AMQP), Bluetooth Low Energy (BLE), Zigbee, LoRaWAN, NFC, Wi-Fi security.
  • Duration: 3 Weeks
  • Outcome: Understand IoT communication layers and network security principles.

Gain foundational Linux skills and understand IoT device firmware.

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  • Topics Covered: Linux command line, firmware architecture, extracting and analyzing firmware, file system analysis.
  • Duration: 3 Weeks
  • Outcome: Develop a working knowledge of Linux and IoT firmware.

Understand key security principles related to IoT ecosystems.

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  • Topics Covered: IoT security challenges, attack surfaces in IoT, physical security threats, cloud and edge computing in IoT.
  • Duration: 4 Weeks
  • Outcome: Identify security threats and vulnerabilities in IoT devices.

Learn how to test and exploit IoT devices at the hardware level.

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  • Topics Covered: JTAG, UART, SPI, I2C, serial communication attacks, using Bus Pirate and JTAGulator, dumping firmware.
  • Duration: 4 Weeks
  • Outcome: Perform hardware-based attacks on IoT devices.

Understand how to analyze and exploit IoT firmware vulnerabilities.

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  • Topics Covered: Firmware extraction methods, reverse engineering tools (Binwalk, Ghidra, Radare2), buffer overflow in IoT devices, firmware patching.
  • Duration: 5 Weeks
  • Outcome: Extract, analyze, and exploit IoT firmware vulnerabilities.

Master attacks on IoT network protocols and wireless technologies.

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  • Topics Covered: Wi-Fi cracking, Bluetooth attacks, Zigbee and LoRaWAN security, replay attacks, packet sniffing with Wireshark.
  • Duration: 5 Weeks
  • Outcome: Conduct network and wireless penetration testing on IoT systems.

Understand the role of cloud and edge computing in IoT security.

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  • Topics Covered: Securing cloud-connected IoT devices, identity and access management (IAM) for IoT, API security, edge computing threats.
  • Duration: 4 Weeks
  • Outcome: Secure cloud and edge infrastructures for IoT deployments.

Learn penetration testing methodologies for IoT devices.

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  • Topics Covered: IoT attack surface analysis, exploiting insecure web interfaces, lateral movement in IoT networks, firmware vulnerabilities.
  • Duration: 5 Weeks
  • Outcome: Conduct full-scale IoT penetration testing engagements.

Simulate real-world adversarial attacks on IoT infrastructures.

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  • Topics Covered: Red team tactics for IoT, evading detection, exploiting IoT supply chain vulnerabilities, persistence techniques.
  • Duration: 4 Weeks
  • Outcome: Execute red team operations targeting IoT environments.

Learn how to design and implement secure IoT systems.

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  • Topics Covered: Secure coding for IoT, cryptography in IoT, secure boot mechanisms, firmware security best practices.
  • Duration: 5 Weeks
  • Outcome: Develop and deploy secure IoT devices and applications.

Understand regulatory and compliance requirements for IoT security.

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  • Topics Covered: NIST IoT security guidelines, OWASP IoT Top 10, GDPR and IoT privacy, IEC 62443 for industrial IoT.
    Duration: 4 Weeks
    Outcome: Implement compliance and governance frameworks for IoT security.

Learn how to model and assess threats against IoT environments.

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  • Topics Covered: IoT threat modeling frameworks, advanced exploitation techniques, IoT forensic analysis.
  • Duration: 6 Weeks
  • Outcome: Perform advanced threat assessments for IoT ecosystems.

Understand how AI-driven IoT devices can be exploited and secured.

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  • Topics Covered: AI-driven security threats, adversarial machine learning, securing smart IoT systems.
  • Duration: 6 Weeks
  • Outcome: Protect AI-driven IoT environments from security threats.

Get introduced to cloud-based IAM solutions and how they manage identities in modern IT environments.

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  • Topics Covered: AWS IAM, Azure Active Directory, Google Cloud Identity, cloud security best practices.
  • Duration: 4 Weeks
  • Outcome: Understand how cloud platforms implement IAM.
Unlock your potential in privileged access management with Wiseman Infosec.
  • Understand the challenges and risks associated with privileged accounts
  • Learn the architecture and components of CyberArk PAS.
  • Install, configure, and manage CyberArk solutions.
  • Implement policy configuration for password and session management.
  • Secure privileged sessions and monitor activities in real-time.
  • Perform troubleshooting and backup operations in CyberArk

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Master advanced Azure AD features like Conditional Access, Identity Protection, and integrations with third-party apps.

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  • Topics Covered: Conditional Access policies, MFA enforcement, integrating with SaaS applications, monitoring and reporting.
  • Duration: 4 Weeks
  • Outcome: Secure and optimize identity management in Azure environments.

Master advanced Azure AD features like Conditional Access, Identity Protection, and integrations with third-party apps.

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  • Topics Covered: Conditional Access policies, MFA enforcement, integrating with SaaS applications, monitoring and reporting.
  • Duration: 4 Weeks
  • Outcome: Secure and optimize identity management in Azure environments.

Learn how IAM policies are designed, implemented, and aligned with governance frameworks.

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  • Topics Covered: Access control models (RBAC, ABAC), identity lifecycle management, compliance requirements (GDPR, HIPAA).
  • Duration: 4 Weeks
  • Outcome: Build skills to manage IAM policies and governance processes.

Explore the fundamentals of IAM, including how organizations manage identities and secure access.

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  • Topics Covered: Authentication vs. Authorization, Single Sign-On (SSO), Multi-Factor Authentication (MFA), Role-Based Access Control (RBAC).
  • Duration: 3 Weeks
  • Outcome: Understand IAM’s role in cybersecurity and compliance.

Understand the core concepts of cybersecurity, focusing on protecting systems and data.

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  • Topics Covered: Threats and vulnerabilities, security frameworks (NIST, ISO 27001), risk management basics.
  • Duration: 3 Weeks
  • Outcome: Develop a foundational understanding of cybersecurity principles.