Dr. Sarah Wijaya, Ph.D.
Lead Security Researcher di 56r dengan Ph.D. in Computer Science dari Stanford University. Spesialisasi dalam Android security, malware detection using machine learning, dan mobile threat analysis. 12+ tahun pengalaman di Google Android Security Team, kontributor AOSP, dan published researcher di konferensi internasional (BlackHat, DEF CON, OWASP AppSec).
🎓 Pendidikan
Doctor of Philosophy (Ph.D.) in Computer Science
Master of Science (M.Sc.) in Information Security
Bachelor of Science (B.Sc.) in Computer Science
💼 Pengalaman Profesional
Lead Security Researcher
- Developed 5-layer security framework yang melindungi 500.000+ users
- Led ISO 27001:2022 certification process dan compliance implementation
- Published 15+ security advisories untuk vulnerabilities critical
- Established partnership dengan OWASP, BSSN, dan international security orgs
- Built automated malware detection system dengan 99.8% accuracy rate
Senior Security Engineer
- Discovered 50+ critical vulnerabilities dalam Android framework (CVE-2015-XXXX series)
- Contributed to Google Play Protect malware detection algorithms
- Led security review untuk 100+ pre-installed apps di Android devices
- Collaborated dengan OEMs (Samsung, Xiaomi, Huawei) untuk security hardening
- Published Android Security Bulletins dan coordinated disclosure dengan vendors
Security Research Intern
- Analyzed 500+ Android malware samples untuk behavior patterns
- Developed static analysis tools untuk automated malware detection
- Contributed to Kaspersky Mobile Antivirus detection signatures
📚 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
CISSP - Certified Information Systems Security Professional
OSCP - Offensive Security Certified Professional
CEH - Certified Ethical Hacker
GMOB - GIAC Mobile Device Security Analyst
