uCertify

Digital Forensics and Internet of Things

  Start your career in the in-demand field of cybersecurity! Enroll in the IoT Forensics course today and gain vital investigatory skills!

(DF-IOT.AE1) / ISBN : 979-8-90059-003-5
Lessons
Lab
AI Tutor (Add-on)
Get A Free Trial

About This Course

Are you prepared to embark on a learning journey that develops the skill set to guard our increasingly connected world? Our comprehensive IoT forensics course is designed to make you a working professional investigator. We go beyond theory and equip you with the IoT investigation methodologies to solve real-life issues.

This isn't just a course; it is the beginning of your path to a demanding career in digital forensics and cybersecurity!

Skills You’ll Get

  • Fundamentals of IoT Forensics: Take a deep dive into the core principles of IoT digital forensics. Understand the complex chain of custody and the unique challenges posed by diverse device types & data locations. 
  • Investing in Specific IoT Systems: Explore the real-world case studies in  multiple fields. Learn the forensic approaches, from analyzing data from smart healthcare monitoring systems to investigating evidence left by human-robot interaction, and understand the intricacies of forensic work in the Vehicular Ad Hoc Networks (VANETs).  
  • Sensor & Network Security: Explore how to secure data from IOT sensors and networks. Master cryptographic fundamentals, delve into cloud security for the IoT, and learn how to identify security weaknesses in network design & development. 
  • Advanced Forensic Techniques: Go beyond the basics with the specialized skills. Get hands-on with the forensic analytics of IoT devices for evidence, and learn how to use technologies like Xilinx FPGA & IP cores to combat digital crimes. 
Download Course Outline

1

Preface

2

Face Recognition

  • Introduction
  • Image Processing
  • Deep Learning
  • Methodology
  • Conclusion
3

Smart Healthcare Monitoring System: An IoT-Based Approach

  • Introduction
  • Healthcare at Clinics
  • Remote Healthcare
  • Technological Framework
  • Standard UIs, Shows, and User Requirements
  • Cloud-Based Health Monitoring Using IoT
  • Information Acquisition
  • The Processing of Cloud
  • IoT-Based Health Monitoring Using Raspberry Pi
  • IoT-Based Health Monitoring Using RFID
  • Arduino and IoT-Based Health Monitoring System
  • IoT-Based Health Monitoring System Using ECG Signal
  • IoT-Based Health Monitoring System Using Android App
  • Conclusion and Future Perspectives
4

Design of Gesture-Based Hand Gloves Using Arduino UNO: A Grace to Abled Mankind

  • Introduction
  • Result and Discussion
  • Conclusion
  • Future Scope
5

Playing With Genes: A Pragmatic Approach in Genetic Engineering

  • Introduction
  • Literature Review
  • Methodology
  • Food and Agriculture
  • Impact on Farmers
  • Diseases: Gene Editing and Curing
  • Conclusion
  • Future Scope
6

Digital Investigative Model in IoT: Forensic View

  • Introduction
  • Application of AI for Different Purposes in Forensic Science
  • Future of AI
  • Challenges While Implementing AI
  • Conclusion
7

Internet of Things Mobility Forensics

  • Introduction
  • Smart Device and IoT
  • Relation of Internet of Things with Mobility Forensics
  • Mobility Forensics IoT Investigation Model
  • Internet of Things Mobility Forensics: A Source of Information
  • Drawbacks in IoT Devices Data Extraction
  • Future Perspective of Internet of Things Mobility Forensics
  • Conclusion
8

A Generic Digital Scientific Examination System for Internet of Things

  • Introduction
  • Internet of Things
  • IoT Architecture
  • Characteristics of IoT
  • IoT Security Challenges and Factors of Threat
  • Role of Digital Forensics in Cybercrime Investigation for IoT
  • IoT Security Steps
  • Conclusion
9

IoT Sensors: Security in Network Forensics

  • Introduction
  • Cybersecurity Versus IoT Security and Cyber-Physical Systems
  • The IoT of the Future and the Need to Secure
  • Security Engineering for IoT Development
  • Building Security Into Design and Development
  • Security in Agile Developments
  • Focusing on the IoT Device in Operation
  • Cryptographic Fundamentals for IoT Security Engineering
  • Cloud Security for the IoT
  • Conclusion
10

Xilinx FPGA and Xilinx IP Cores: A Boon to Curb Digital Crime

  • Introduction
  • Literature Review
  • Proposed Work
  • Xilinx IP Core Square Root
  • RTL View of the 8-Bit Multiplier
  • RTL View of 8-Bit Down Counter
  • Up/Down Counter Simulation Results
  • Square Root Simulation Results
  • Hardware Device Utilization Reports of Binary Down Counter
  • Comparison of Proposed and Existing Work for Binary Up/Down Counter
  • Conclusion
11

Human-Robot Interaction: An Artificial Cognition-Based Study for Criminal Investigations

  • Introduction
  • Methodology
  • Architecture Models for Robots
  • Cognitive Architecture
  • Challenges in the Existing Social Robots and the Future Scopes
  • Conclusion
  • Robots in Future Pandemics
12

VANET: An IoT Forensic-Based Model for Maintaining Chain of Custody

  • Introduction
  • Cluster Performance Parameters
  • Routing Protocols in VANET
  • Internet of Vehicles
  • IoT Forensic in Vehicular Ad Hoc Networks
  • Conclusion
13

Cognitive Radio Networks: A Merit for Teleforensics

  • Introduction
  • Contribution of Work
  • Conclusion and Future Scope
  • Acknowledgement
14

Fingerprint Image Identification System: An Asset for Security of Bank Lockers

  • Introduction
  • Result and Discussion
  • Conclusion
  • Future Scope
15

IoT Forensics: Interconnection and Sensing Frameworks

  • Introduction
  • The Need for IoT Forensics
  • Various Types of Evidences Encountered
  • Protocols and Frameworks in IoT Forensics
  • IoT Forensics Process Model
  • Suggestive Solutions
  • Conclusion
16

IoT Forensics: A Pernicious Repercussions

  • Introduction: Challenges in IoT Forensics
  • Scope of the Compromise and Crime Scene Reconstruction
  • Device and Data Proliferation
  • Multiple Data Location and Jurisdiction Challenges
  • Device Type
  • Lack of Training and Weak Knowledge Management
  • Data Encryption
  • Heterogeneous Software and/or Hardware Specifications
  • Privacy and Ethical Considerations by Accessing Personal Data
  • Lack of a Common Forensic Model in IoT Devices
  • Securing the Chain of Custody
  • Lifespan Limitation
  • The Cloud Forensic Problem
  • The Minimum or Maximum Period in Which Data is Stored in the Cloud
  • Evidence Analysis and Correlation
  • Conclusion

1

Digital Investigative Model in IoT: Forensic View

  • Completing the Chain of Custody Form
  • Training an AI Model to Recognize Patterns
  • Creating a Chatbot or AI Assistant for Helping Forensic Teams
2

Internet of Things Mobility Forensics

  • Simulating Sensor-to-Processor Communication in a Smart Device
  • Simulating a MitM Attack on IoT Device Communication
  • Recreating a Forensic Case Study Using IoT Logs
  • Simulating Logical Data Extraction from a Smartphone
  • Capturing and Analyzing Communication From IoT Devices
3

A Generic Digital Scientific Examination System for Internet of Things

  • Identifying a Cyber Attack via Anomaly Detection
4

IoT Sensors: Security in Network Forensics

  • Detecting Log Tampering Using SHA-256
  • Securing IoT Data Using AES and RSA
  • Detecting Public S3 Buckets Storing IoT Data
5

Xilinx FPGA and Xilinx IP Cores: A Boon to Curb Digital Crime

  • Designing, Synthesizing, and Simulating an 8-bit Binary Multiplier using Verilog
  • Designing and Simulating an 8-bit Binary Multiplier Using Verilog

Any questions?
Check out the FAQs

  Want to Learn More?

Contact Us Now

  IOT digital forensics is a customized field of using established forensic methods to acquire, preserve & analyze digital evidence from an ever-growing number of connected devices.

As IoT devices become a central part of our daily lives, they are increasingly targeted in cyberattacks. Digital forensics in IoT is essential for uncovering how the attacks happen, identifying the core factors responsible, and securing the network against future threats.

This course is perfect for anyone who wants to make a career in Internet of Things security and forensics. Whether you are a cybersecurity professional or a law enforcement officer, this program provides the foundational and advanced knowledge.

No prior experience is needed! This course is designed to build your skills from the ground up. Get a strong foundation in digital forensics & cybersecurity principles to conduct effective forensic analysis of IoT devices. 

Related Courses

All Courses