SSA Research GroupSSA Research LabJunaid Akram
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Spring 2026·Dr. Junaid Akram

Supervised Student Project

CompletedSpring 2026BS Software Engineering

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.

Android MalwareApktool DisassemblyRandom Forest Classifier
Students

FA25SE28 Student GroupFA25SE28

Supervision

Dr. Junaid AkramLead Supervisor

Institution

Malware ResearchCOMSATS University Islamabad, Lahore Campus

Implementation evidence & interfaces

Interactive Visual Showcase

Use slideshow controls, arrows, or thumbnails to explore architecture and UI layers.

Slide 1 of 1Robust Android Malware Detector Research Poster
Robust Android Malware Detector Research Poster

Supervised Projects Portfolio

Related Research & Supervised Projects

View all projects
Vulnerability & Security

Malware Feature Extraction of Instruction Frequency

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

Wang XiaoweiView Case Study
AI & Machine Learning

Malware Feature Extraction via Machine Learning Algorithm

Supervised research evaluating feature selection techniques for automated malware detection across PE executable headers.

Eilsen Law Yi ShengView Case Study
Vulnerability & Security

Detection and Defense of Vulnerability in OpenSSL

Static and dynamic security analysis project auditing OpenSSL memory safety vulnerabilities and buffer overflow defenses.

Du GuangRuiView Case Study