In today's rapidly advancing digital landscape, malware analysis has become a critical component of cybersecurity strategies. With the increasing number of cyberattacks targeting computer systems, it is essential for European institutions to adopt advanced methods for analyzing and countering malware. European cybersecurity standards, such as the General Data Protection Regulation (GDPR) and the NIS Directive, require comprehensive measures for malware analysis and detection.

The European Malware Analysis course from The British Academy for Training and Development offers advanced techniques for analyzing malware in line with the latest European standards. In this course, participants will learn how to identify various types of malware, methods for detecting and analyzing them, and how to protect systems from future threats.

Who Should Attend?

• Cybersecurity specialists.
• Malware analysts.
• Network engineers.
• Information systems managers.
• Incident response professionals.
• Data protection and compliance specialists.

Knowledge and Benefits:

After completing the program, participants will be able to master the following:

• Understand the different types of malware and the methods used to analyze them.
• Learn about European tools and techniques for malware analysis.
• Understand how to apply GDPR and NIS Directive standards in dealing with malware.
• Gain the skills required to detect and protect systems from malware.
• Analyze malware using both dynamic and static methods.
• Develop effective response strategies for malware-related incidents.

• Understanding Malware and Its Types

  • Definition of malware and its impact on systems and networks.
  • Classifications of malware: viruses, worms, and Trojans.
  • Differences between traditional malware and advanced persistent threats (APT).

• The Importance of Malware Analysis in Cybersecurity

  • The role of malware analysis in preventing cyberattacks.
  • Long-term effects of malware attacks on systems.
  • The relationship between malware analysis and European cybersecurity standards.

• European Cybersecurity Standards for Malware

  • The impact of GDPR on data protection in malware cases.
  • How to apply NIS Directive in malware analysis.
  • Best practices followed in the EU for malware detection and prevention.

• Malware Analysis Tools

  • Static analysis tools: examining malware code without execution.
  • Dynamic analysis tools: analyzing malware behavior during execution.
  • Network analysis tools for detecting malware in data traffic.

• Advanced Diagnostic Techniques

  • Using sandboxing environments for malware analysis.
  • Behavioral analysis of malware.
  • Leveraging artificial intelligence for malware detection.

• Forensic Tools for Malware Investigation

  • Using forensic tools to analyze malware.
  • Recovering data post-attack and analyzing logs.
  • How to extract digital evidence in cyberattacks.

• Static Malware Analysis

  • Analyzing source code or binary code of malware.
  • Techniques for extracting malware signatures.
  • Tools for static analysis like IDA Pro and Ghidra.

• Dynamic Malware Analysis

  • Analyzing the behavior of malware during execution in an isolated environment.
  • Using virtual machines (VMs) to run malware for analysis.
  • Debugging techniques for examining malware code execution.

• Extracting Data from Malware

  • Extracting malicious files from infected systems.
  • Analyzing extracted data, such as stolen information or credentials.
  • Encryption techniques used in malware.

• Network-level Malware Prevention

  • Using firewalls to detect malware.
  • Deploying antivirus tools and early malware detection systems.
  • Identifying unusual patterns in network traffic to detect malware.

• Endpoint-level Malware Prevention

  • Securing individual devices from malware using intrusion detection systems.
  • Regular updates to operating systems and software to reduce vulnerabilities.
  • Managing user privileges to limit the impact of malware.

• Incident Response for Malware Detection

  • Rapid response strategies for detecting malware incidents.
  • Incident analysis and determining the root cause of malware infections.
  • Coordinating with cybersecurity teams to recover systems.

• Incident Investigation for Malware

  • Steps to investigate malware-related incidents.
  • Analyzing evidence to link the incident to specific malware.
  • Producing detailed technical reports for the incident.

• Compliance with Data Protection Laws in Malware Cases

  • Legal implications of malware on personal data.
  • Company obligations under GDPR in case of data breaches due to malware.
  • Data protection policies in response to cyberattacks.

• The Role of Security Teams in Malware Compliance and Protection

  • Coordination between cybersecurity and compliance teams to ensure data protection.
  • Developing mechanisms for rapid malware detection.
  • The importance of ongoing training in compliance with data protection laws.

• Artificial Intelligence in Malware Analysis

  • Using AI to detect new malware strains.
  • Integrating machine learning for behavior-based malware detection.
  • Automating malware analysis with advanced algorithms.

• Malware Analysis in Complex Environments

  • Analyzing malware in multi-system and network environments.
  • Handling malware that evades detection.
  • Techniques for uncovering hidden threats in complex setups.

• Future Directions in Malware Analysis

  • Emerging trends in tools and techniques for malware analysis.
  • Predictive analysis for future malware threats.
  • Future developments in European regulations concerning malware analysis.