Securing Iot - Build Secure Iot Solutions: 2-In-1

Master the techniques and methodologies of building secure and robust Internet of Things (IoT) systems

What you'll learn

Build secure Internet of Things (IoT) systems.

Learn from common IoT use cases across Industries for connected vehicles, microgrids and enterprise drone systems

Adopt a real-world threat model for IoT systems and identify top priority risks

In-depth coverage of privacy challenges and mitigations for the IoT

Integrate cryptographic modules in IoT systems

Explore securing connecting to the cloud, processing and storing data in the cloud, and integrating cloud security services for your IoT system

Requirements

No prior knowledge of IoT required.

Familiarity with the concept of IoT will be beneficial.

Description

The internet of things (IoT) is a rapidly growing technology which aims at connecting all devices to the existing internet infrastructure. It is the network of items, which enables various objects to collect and exchange data with the help of internet. As IoT creeps into every aspect of our existence, many security risks arise and the network that may just connect the home could pose a threat to the user if compromised. To protect your IoT systems and the security of your users, you'll need to know some solid IoT security best practices.
This comprehensive 2-in-1 course takes a detailed, step-by-step approach to security engineering for IoT through cryptographic solutions, identity, access management solutions and key management solutions for IoT systems. You’ll learn through practical demonstrations of case studies, clear explanations, and interesting real-world applications. It will give you a versatile range of IoT skills, which you will put to work in building and securing your own Internet of Things (IoT) systems.
This training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible.
The first course, Fundamentals of IoT Security, starts off with covering the fundamentals of IoT. You will then review use cases across various industries and understand common IoT components and technologies to provide a baseline understanding of the systems and devices that you need to protect. You will also review common security architectures that can be applied to IoT systems, and learn regulations and standards that apply to securing IoT systems. Next, you will explore IOT components such as the IoT (hardware, real-time operating systems (RTOS), Application Programming Interfaces (APIs), messaging and communication protocols, and backend services. You will understand threats to IoT systems, attack vectors, current security regulations and standards, and common security architectures. Further, you will examine Privacy by Design (PbD) principles and walk through an example on Privacy Impact Assessment (PIA).
The second course, Security Engineering for the IoT, starts off with explaining approaches for securely designing and hardening IoT endpoints and systems. You will then learn how to implement a secure system design methodology within an organization. You will also examine what is required to securely design an IoT device, how to integrate your existing security services to protect an IoT system, how to select technologies that support your security endeavors, and negotiating security agreements with the IoT providers. Next, you will gain in-depth knowledge of the approaches for applying cryptographic solutions, identity and access management solutions, and key management solutions to the IoT systems. You will explore a case study on the connected vehicle market to identify its management approach and understand how biometrics play an interesting role in securing IoT devices. Finally, you will learn how to securely connect to the cloud, process and store data in the cloud, and integrate cloud security services for your IoT system.
By the end of this Learning Path, you will learn to identify threats of your organization's data and your own IoT systems and will secure them with the help of design techniques, applied cryptography, and secure cloud connectivity.

Meet Your Expert(s):

We have the best work of the following esteemed author(s) to ensure that your learning journey is smooth:
Brian Russell is a chief engineer focused on cyber security solutions for Leidos. He oversees the design and development of security solutions and the implementation of privacy and trust controls for customers, with a focus on securing Internet of Things (IoT). He leads efforts that include security engineering for Unmanned Aircraft Systems (UAS) and connected vehicles and development security systems, including high assurance cryptographic key management systems. He has 16 years of information security experience. He serves as chair of the Cloud Security Alliance (CSA) Internet of Things (IoT) Working Group, and as a member of the Federal Communications Commission (FCC) Technological Advisory Council (TAC) Cybersecurity Working Group. Brian also volunteers in support of the Center for Internet Security (CIS) 20 Critical Security Controls Editorial Panel and the Securing Smart Cities (SSC) Initiative.

Overview

Section 1: Fundamentals of IoT Security

Lecture 1 The Course Overview

Lecture 2 Case Study: Connected and Self-driving Vehicles

Lecture 3 Case Study: Microgrids

Lecture 4 Case Study: Smart City Drone Systems

Lecture 5 IoT Hardware and Software

Lecture 6 IoT Communication and Messaging Protocols

Lecture 7 IoT Interfaces and Services

Lecture 8 Threats, Vulnerabilities and Risks

Lecture 9 Case Study: The Mirai Botnet Opens up Pandora's Box

Lecture 10 Today's Attack Vectors

Lecture 11 Current IoT Security Regulations

Lecture 12 Current IoT Privacy Regulations

Lecture 13 An Introduction to IoT Security Architectures

Lecture 14 What is Threat Modeling

Lecture 15 Identifying Assets

Lecture 16 Creating a System Architecture

Lecture 17 Documenting Threats

Lecture 18 Rating Threats

Lecture 19 IoT Privacy Concerns

Lecture 20 Privacy by Design (PbD)

Lecture 21 Conducting a Privacy Impact Assessment (PIA)

Lecture 22 Case Study: The Connected Barbie

Section 2: Security Engineering for the IoT

Lecture 23 The Course Overview

Lecture 24 Secure IoT System Design

Lecture 25 Security System Integration for the IoT

Lecture 26 Integrating Safety into the Design Process

Lecture 27 Processes and Agreements

Lecture 28 Technology Selection

Lecture 29 Fundamentals of Cryptography

Lecture 30 Cryptographic Modules

Lecture 31 Cryptographic Key Management

Lecture 32 Implementing Cryptography Within the IoT

Lecture 33 Case Study: New Approaches – Blockchain for the IoT

Lecture 34 The Device Identity Lifecycle

Lecture 35 In Depth: The Bootstrap Process

Lecture 36 Case Study: Connected Vehicles

Lecture 37 IAM Infrastructure

Lecture 38 Authorization and Access Control

Lecture 39 New Approaches: Applying Biometrics

Lecture 40 Introduction to Cloud Services for the IoT

Lecture 41 Cloud Security Architecture – Microsoft Azure

Lecture 42 Cloud Security Architecture – Amazon Web Services

Lecture 43 Cloud Security Architecture – IBM Watson IoT Platform

Lecture 44 Hands-on: Connect an IoT Device to Amazon Web Services

This Learning Path is for IoT product designers, for IOT product managers, IT security professionals and security engineers who would like to ensure the security of their organizations data and IoT systems through design techniques, applied cryptography and secure cloud connectivity.