Training Course on Smart TV and Streaming Device Forensics

Course Title: Training Course on Smart TV and Streaming Device Forensics

Executive Summary

This two-week intensive course provides participants with a comprehensive understanding of forensic techniques applicable to smart TVs and streaming devices. Participants will learn to identify, acquire, and analyze digital evidence from these increasingly prevalent devices. The curriculum covers topics ranging from device architecture and operating systems to network communication and application analysis. Hands-on labs and case studies provide practical experience in extracting and interpreting critical data. The course equips digital forensic investigators, law enforcement professionals, and cybersecurity experts with the specialized knowledge and skills necessary to conduct thorough and effective investigations involving smart TVs and streaming devices, ensuring admissibility of evidence in legal proceedings. Participants will gain proficiency in using industry-standard forensic tools and methodologies tailored for these unique devices.

Introduction

Smart TVs and streaming devices have become ubiquitous in modern households, presenting new challenges for digital forensic investigators. These devices store a wealth of personal data, including browsing history, streaming activity, user credentials, and even potentially sensitive communications. As such, they are increasingly relevant in criminal investigations, civil litigation, and incident response scenarios. Traditional forensic techniques are often insufficient for analyzing these complex systems. This course provides a specialized approach to smart TV and streaming device forensics, equipping participants with the knowledge and skills necessary to overcome these challenges. It covers device architecture, operating systems, network protocols, application analysis, and forensic methodologies specifically tailored for these devices. Participants will learn to acquire, analyze, and interpret digital evidence from a variety of smart TVs and streaming devices, ensuring admissibility in legal proceedings.

Course Outcomes

• Understand the architecture and functionality of smart TVs and streaming devices.
• Identify and acquire digital evidence from smart TVs and streaming devices using appropriate forensic tools and techniques.
• Analyze operating systems, file systems, and applications on smart TVs and streaming devices.
• Extract and interpret user data, including browsing history, streaming activity, and user credentials.
• Analyze network communication and identify potential security vulnerabilities.
• Document forensic findings and prepare reports for legal proceedings.
• Apply best practices for maintaining chain of custody and ensuring data integrity.

Training Methodologies

• Expert-led lectures and presentations.
• Hands-on laboratory exercises using industry-standard forensic tools.
• Case study analysis of real-world investigations.
• Group discussions and knowledge sharing.
• Live demonstrations of forensic techniques.
• Simulated forensic investigations.
• Q&A sessions with experienced digital forensic examiners.

Benefits to Participants

• Gain specialized knowledge and skills in smart TV and streaming device forensics.
• Enhance career prospects in digital forensics and cybersecurity.
• Improve ability to conduct thorough and effective investigations involving these devices.
• Learn to use industry-standard forensic tools and methodologies.
• Develop skills in data acquisition, analysis, and reporting.
• Improve understanding of legal and ethical considerations in digital forensics.
• Earn a certificate of completion recognizing expertise in this specialized area.

Benefits to Sending Organization

• Enhance organizational capabilities in digital forensics and incident response.
• Improve ability to investigate crimes and security incidents involving smart TVs and streaming devices.
• Reduce risk of data breaches and security compromises.
• Increase efficiency in digital forensic investigations.
• Improve compliance with legal and regulatory requirements.
• Enhance reputation as a leader in cybersecurity and digital forensics.
• Provide employees with valuable professional development opportunities.

Target Participants

• Digital forensic investigators
• Law enforcement professionals
• Cybersecurity analysts
• Incident response team members
• IT security professionals
• Legal professionals involved in digital evidence cases
• Consultants providing digital forensic services

WEEK 1: Foundations and Device Acquisition

Module 1: Introduction to Smart TV and Streaming Device Forensics

1. Overview of smart TVs and streaming devices: market trends, functionalities, and security considerations.
2. Legal and ethical considerations in digital forensics.
3. Digital evidence: types, sources, and admissibility.
4. Forensic process: identification, collection, preservation, analysis, and reporting.
5. Chain of custody: maintaining integrity of digital evidence.
6. Introduction to forensic tools and techniques.
7. Setting up a forensic workstation.

Module 2: Device Architecture and Operating Systems

1. Hardware components of smart TVs and streaming devices: processors, memory, storage.
2. Operating systems used in smart TVs and streaming devices: Android TV, Roku OS, Fire OS, webOS, Tizen.
3. File systems: EXT4, FAT32, NTFS.
4. Boot process and firmware analysis.
5. Security features: sandboxing, encryption, DRM.
6. Virtualization and containerization technologies.
7. Hands-on: Exploring device architecture using ADB and shell commands.

Module 3: Network Communication and Protocols

1. Network protocols used by smart TVs and streaming devices: HTTP, HTTPS, TCP/IP, UDP.
2. Wireless communication: Wi-Fi, Bluetooth.
3. Network traffic analysis: capturing and analyzing network packets.
4. Man-in-the-middle attacks and security vulnerabilities.
5. DNS and DHCP analysis.
6. VPNs and proxy servers.
7. Hands-on: Capturing and analyzing network traffic using Wireshark.

Module 4: Data Acquisition Techniques

1. Live acquisition vs. dead box acquisition.
2. Physical acquisition vs. logical acquisition.
3. Imaging techniques: creating forensic images using dd, FTK Imager, and EnCase.
4. Data carving: recovering deleted files and data fragments.
5. Bypassing security features: rooting and jailbreaking.
6. Acquiring data from volatile memory.
7. Hands-on: Performing a forensic image of a streaming device.

Module 5: File System Analysis

1. File system structure and metadata.
2. Analyzing file allocation tables and inodes.
3. Timeline analysis: reconstructing events based on file timestamps.
4. Registry analysis: extracting configuration settings and user preferences.
5. Log file analysis: identifying system events and user activities.
6. Artifact analysis: identifying traces of specific applications and activities.
7. Hands-on: Analyzing a file system image using Autopsy.

WEEK 2: Application Analysis and Advanced Techniques

Module 6: Application Analysis

1. Application architecture and components: APK files, executables, libraries.
2. Static analysis: examining application code and resources.
3. Dynamic analysis: running applications in a controlled environment and monitoring their behavior.
4. Identifying application permissions and security vulnerabilities.
5. Analyzing application data: databases, configuration files, and cached data.
6. Reverse engineering techniques.
7. Hands-on: Analyzing an Android TV application using APKTool and Frida.

Module 7: User Data Extraction and Analysis

1. Browsing history: Chrome, Firefox, and other browsers.
2. Streaming activity: Netflix, Hulu, Amazon Prime Video, and other streaming services.
3. User credentials: usernames, passwords, and API keys.
4. Social media activity: Facebook, Twitter, and other social media platforms.
5. Location data: GPS coordinates and Wi-Fi network information.
6. Personal data: contacts, calendars, and messages.
7. Hands-on: Extracting and analyzing user data from a smart TV.

Module 8: Malware Analysis

1. Malware threats targeting smart TVs and streaming devices: ransomware, botnets, spyware.
2. Identifying and analyzing malicious applications.
3. Reverse engineering malware code.
4. Analyzing malware network communication.
5. Removing malware from infected devices.
6. Preventing malware infections.
7. Case study: Analyzing a real-world malware sample targeting smart TVs.

Module 9: Reporting and Documentation

1. Creating forensic reports: documenting findings and methodologies.
2. Presenting digital evidence in court.
3. Maintaining chain of custody documentation.
4. Writing expert witness reports.
5. Using reporting tools: CaseLogistix, i2 Analyst’s Notebook.
6. Best practices for documentation and reporting.
7. Mock court exercise: Presenting digital evidence to a judge and jury.

Module 10: Advanced Forensic Techniques and Future Trends

1. Advanced data carving techniques.
2. Steganography and data hiding.
3. Cloud forensics: acquiring data from cloud-based services.
4. IoT forensics: analyzing data from other connected devices.
5. Artificial intelligence and machine learning in digital forensics.
6. Future trends in smart TV and streaming device forensics.
7. Course wrap-up and Q&A session.

Action Plan for Implementation

1. Establish a dedicated digital forensic workstation with necessary hardware and software.
2. Develop standard operating procedures (SOPs) for smart TV and streaming device forensics.
3. Create a library of forensic images and data samples for training and research.
4. Establish partnerships with law enforcement agencies and other organizations.
5. Conduct regular training and awareness programs for employees.
6. Stay up-to-date with the latest trends and technologies in smart TV and streaming device forensics.
7. Continuously improve forensic methodologies and techniques based on new findings and experiences.