Dr. Sarah Wijaya, Ph.D.
Lead Security Researcher di dewalin 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
