Aruna Seneviratne

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About

Aruna Seneviratne is a leading researcher at the intersection of cybersecurity, privacy, and emerging mobile technologies. Her work critically examines the hidden vulnerabilities in next-generation systems, with a particular focus on spatial privacy risks in Mixed Reality (MR) and side-channel attacks using wireless signals. In her highly cited 2021 study, "Unravelling Spatial Privacy Risks of Mobile Mixed Reality Data" (20 citations), Seneviratne pioneered the analysis of how 3D spatial data—traditionally used for geospatial analysis or robot navigation—can be exploited to infer sensitive user information, exposing novel privacy threats in augmented reality environments. She further advanced the field of wireless sensing with her 2023 empirical study on keystroke recognition using WiFi Channel State Information (CSI), demonstrating how ubiquitous WiFi networks can be weaponized to detect physical events like keystrokes, gestures, and occupancy changes. This work highlights the robustness of such attacks, underscoring critical security implications for everyday users. Seneviratne’s contributions are foundational for developing privacy-preserving frameworks in immersive computing and IoT, making her a vital voice in the ongoing dialogue between technological innovation and user protection. Her research continues to shape how we understand and mitigate risks in our increasingly connected, spatial-digital world.