Dr. Sarah Wijaya, Ph.D.
🎓 Pendidikan
Dissertation: "Android Malware Detection using Machine Learning and Static Analysis"
Advisor: Prof. John Mitchell (Security Lab)
Research Focus: Mobile security, malware analysis, machine learning applications in cybersecurity
Thesis: "Permission-based Android App Security Analysis"
GPA: 3.95/4.0 (Summa Cum Laude)
Final Project: "Mobile Security Framework for Android Platform"
GPA: 3.92/4.0 (Summa Cum Laude)
Awards: Best Undergraduate Thesis Award 2008
💼 Pengalaman Profesional
Memimpin tim 31 security researchers dalam mengembangkan framework keamanan APK untuk ekosistem Android Indonesia.
Member Google Android Security Team yang bertanggung jawab atas security research dan vulnerability assessment.
Research internship di Kaspersky Lab Mobile Security Division focusing pada Android malware analysis.
📚 Publikasi & Research
Machine Learning-Based Android Malware Detection: A 5-Year Retrospective
Comprehensive analysis of ML-based Android malware detection approaches from 2018-2023. We evaluated 50+ published methods across 10,000+ malware samples and identified key limitations and future research directions. Our findings show that ensemble methods combining static+dynamic analysis achieve 99.2% detection rate with 0.3% false positive rate.
Read Paper →PermGuard: Permission-based Android Security Framework for Zero-day Threat Detection
We propose PermGuard, a novel permission-based security framework that analyzes Android app behavior patterns to detect zero-day threats. Evaluated on 50,000+ apps, PermGuard achieved 97.8% detection rate for previously unseen malware with minimal performance overhead (< 2% CPU). The framework has been deployed in production by 3 major Android OEMs.
Read Article →Breaking Android: Advanced Exploitation Techniques for Security Researchers
Live demonstration of advanced Android exploitation techniques including kernel exploitation, SELinux bypass, and persistent backdoor installation. Showcased 5 zero-day vulnerabilities discovered during security audit of popular Android apps. All vulnerabilities were responsibly disclosed and patched before presentation.
Watch Talk →Android Malware Evolution: A Comprehensive Study of 100,000 Samples (2015-2020)
Longitudinal study analyzing evolution of Android malware over 5 years. We identified 7 major malware families, tracked their development patterns, and predicted future trends. Dataset of 100,000+ malware samples made public for research community. Study cited 150+ times in security research papers.
Read Paper →
🏆 Sertifikasi Profesional
Certification ID: 123456
Comprehensive information security certification covering 8 domains of security knowledge.
Score: 95/100 points
Hands-on penetration testing certification. Successfully compromised 10/10 machines in 24-hour exam.
Ethical hacking certification covering 20 security domains dan 270+ attack technologies.
Specialized certification dalam mobile device security, focusing on iOS dan Android platforms.