Malware Analysis

This module aims to equip students with the knowledge and skills to analyze and manage the malware analysis process by learning the methods, techniques and tools used.

Key Details

This module is delivered in hybrid format, as a combination of online, in-person and self-learning activities. The module uses innovative hybrid learning methods that combine live (synchronous) and self-paced (asynchronous) activities, with particular focus on practical activities and real-world scenarios connected to cybersecurity. Expert tutors guide students through the material, ensuring a comprehensive learning experience.

This module aims to equip students with the knowledge and skills to analyze and manage the malware analysis process by learning the methods, techniques and tools used. Toward this goal, the module employs continuous forms of evaluation throughout the semester.

Time commitment:

• Online activities: 14 hoursIn-person activities: 14 hours
• Self-learning: 28 hours
• Individual, team and guided projects and activities: 69 hours
• Total: 125 hours

Credit points: 5 ECTS

Grading:

• Continuous evaluation: 50%
• Exam: 50%

Subjects covered

Malware analysis introduction and fundamentals

Malware analysis methodologies

Malware analysis tools

Anti-Malware tools

Case studies: Malware scenarios

Malware crisis management

Malware analyst certification roadmap

Learning objectives

Plan and execute the process for malware analysis.

Analyse the structure and functionality of malware by dissecting code, identifying malicious behaviours, and determining potential damage or security risks.

Elaborate reports with the results of the malware analysis, for organizational levels

Evaluate and analyse types of anti-malware solutions according to their performance and know the main malware campaigns to apply preventive measures.

Manage the malware analysis process during critical time, helping the business resilience plan.

Develop results reports after malware analysis, for the management taking decision level.

Module leaders

Laura Dragomir is an Associate Professor in the Computer Science and Engineering Department at POLITEHNICA Bucharest. She holds a Ph.D. in Computer Science, with a specialization in the security of Wireless Sensor Networks (WSNs). Her current research focuses on Internet of Things (IoT), Mobile Operating Systems and cybersecurity.

She has extensive experience as a researcher on national and international projects. Her work in these projects spans various fields, including WSNs, IoT, networking, indoor localization, and cybersecurity.

She has collaborated with VirtualMetrix Inc. as a researcher, focusing on mobile malware detection. Additionally, she served as a researcher for the Academy of Romanian Scientists, contributing to the field of IoT.

For the past five years, she has been an academic ambassador in collaboration with Google/Fitbit, where she has organized summer schools and workshops, and mentored students on topics such as the IoT, embedded systems, and mobile operating systems.