Malware Feature Extraction of Instruction Frequency

Q: Who conducted this research project?

Supervised by Dr. Junaid Akram at COMSATS University Islamabad, Lahore Campus with student researchers Wang Xiaowei.

Q: What technologies and frameworks were utilized?

Python, IDA Pro, Capstone Engine, Scikit-Learn

Dr. Junaid Akram; Wang Xiaowei

Back to Supervision Directory

Fall 2020·Dr. Junaid Akram

Supervised Student Project

CompletedFall 2020BS Software Engineering

Malware Feature Extraction of Instruction Frequency

Malware analysis project extracting assembly opcode instruction frequency patterns to classify binary malware variants.

Malware DetectionInstruction FrequencyDisassembly

Students

Wang Xiaowei

Supervision

Dr. Junaid AkramLead Supervisor

Institution

Malware ResearchXiamen University Malaysia

Supervised Projects Portfolio

Related Research & Supervised Projects

View all projects

Vulnerability & Security

Robust Android Malware Detector

Completed supervised project implementing static disassembly analysis, APK opcode feature vectors, and ensemble machine learning classifiers for resilient Android malware detection.

FA25SE28 Student GroupView Case Study

Vulnerability & Security

XSS Vulnerability Detection & Defense System

Completed web security capstone project delivering an automated Cross-Site Scripting (XSS) static code auditor and dynamic browser defense extension.

FA25CS21 Student GroupView Case Study

Vulnerability & Security

Vulnerability Management & Benchmarking System (VBS)

Completed software vulnerability management platform aggregating CVE repositories, automated severity scoring, and code vulnerability tracking across enterprise projects.

SP25SE17 Student GroupView Case Study