Malware Analysis
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Malware Analysis Syllabus — Unit-wise Content
The official GTU curriculum for Malware Analysis (subject code 3154803) as prescribed for CS-Cyber · Semester 5 divides the course into 7 units, covering 42 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.
Download the official syllabus PDF (3154803)Unit 1 Introduction to Malware Analysis
- Introduction to malware
- OS security concepts
- malware threats
- Terminologies related to Malware Analysis
- Need of Malware Analysis
Unit 2 Virtual Machines and Emulators
- Benefits of virtualization
- Oracle Virtual Box, SANS malware analysis OS/platform
- VMware Player
- Virtual PC, Open-source Alternatives: Bochs
- QEMU, KVM
Unit 3 Static Analysis
- Static Analysis-Determining the File Type
- Fingerprinting the Malware
- Multiple Anti-Virus Scanning
- Extracting Strings
- Determining File Obfuscation
- Inspecting PE Header Information
- Comparing and Classifying the Malware
Unit 4 Dynamic Analysis
- Dynamic Analysis-Lab Environment Overview
- System and Network Monitoring
- Dynamic Analysis (Monitoring) Tools
- Dynamic Analysis Steps
- putting it All Together: Analyzing a Malware Executable
- Dynamic-Link Library (DLL) Analysis. 7 15 GUJARAT TECHNOLOGICAL UNIVERSITY Bachelor of Engineering Syllabus Subject Code : 3154803 Subject Name : Malware Analysis https://syllabus.gtu.ac.in/ Page 2
Unit 5 Malware Functionality
- Credential Stealers
- Persistence Mechanisms
- Privilege Escalation
- Covert malware launching- Launchers
- Process Injection
- Process Replacement
- Hook Injection
- APC injection
Unit 6 Malware Detection Techniques
- Signature-based techniques: malware signatures
- packed malware signature
- metamorphic and polymorphic malware signature
- non- signature-based techniques: similarity-based techniques
- machine- learning methods
- invariant inferences
Unit 7 Latest trends in Malware Analysis
- Latest trends and challenges in malware analysis like ransomware detection and mitigation
- AI based malware attacks
- MITRE ATT&CK Framework
- Tactics ID, Techniques ID, Enterprise Level Matrix
- Case study of Malware attacks
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