Networks and Systems Security Lab

Privacy Preserving Technologies

As digital systems become deeply embedded in everyday life—from personal smartphones and IoT devices to critical 5G infrastructure and AI applications—ensuring user privacy and data protection has become a foundational challenge. With increasing regulatory scrutiny and heightened public awareness, there is a growing need for security mechanisms that not only protect sensitive information but also respect user autonomy and system transparency.

Our group's research in Privacy-Preserving Technologies focuses on developing lightweight, scalable, and practical solutions that enable secure data processing without compromising user privacy. We tackle the unique constraints of diverse environments such as resource-constrained IoT devices, mobile operating systems, and cloud-deployed network functions. Our work bridges advanced cryptographic techniques, secure system design, and hardware-assisted privacy solutions to build systems that are resilient to leakage, tampering, and surveillance.

A key emphasis in our research is on privacy without compromise—designing systems that achieve high fidelity in their core functionality while simultaneously offering strong privacy guarantees. This includes the use of function secret sharing, hardware-enforced enclaves, and transparent debugging techniques that avoid detection by malicious software. We also explore decentralized architectures and tamper-proof logging to ensure data provenance and integrity in distributed and adversarial settings.

Our innovations not only address the immediate technical challenges of data confidentiality, secure computation, and integrity verification but also pave the way for trustworthy platforms in critical domains like mobile firmware, location services, 5G networks, and malware analysis. These contributions are influencing both academic research trajectories and the privacy standards of next-generation systems in industry.

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