My research examines how systems protect data, how security assumptions affect their design, and how privacy claims compare with observable behavior. My coauthored publications address security isolation in edge computing, quantum-resilient zero-trust architectures and context-aware blockchain validation.
Publications · Research support · Applied work · Google Scholar
Publications
The entries below include the author lists, publication venues and original publisher records.
Adaptive Fuzzy Logic Framework for Context-Aware Blockchain Security
Sooraj Sathyanarayanan and Varshitha Manjunath.
In Sameena Pathan, Shiva Raj Pokhrel, Gang Li, and Catarina Barata (eds.), Computational Intelligence and Soft Computing, CISCom 2025. Communications in Computer and Information Science, volume 2853, pp. 191–199. Springer, Singapore, 2026. First online March 24, 2026.
A framework that uses fuzzy logic to adapt blockchain transaction validation to contextual risk indicators.
Publisher record · DOI: 10.1007/978-981-95-7292-2_14
Quantum-Resilient Zero-Trust Architectures in Edge Computing Networks: Theoretical Foundations and Complexity Bounds
Varshitha Manjunath, Sooraj Sathyanarayanan, Rajesh Purushothaman, Arun Kumar Elengovan, Jeevan Shanbhag, and Rakesh Keshava.
2025 International Conference on Computer and Applications (ICCA). Conference held December 22–24, 2025; added to IEEE Xplore March 17, 2026.
Theoretical research into quantum-resilient zero-trust architectures for edge networks, including security assumptions, communication complexity, and privacy tradeoffs.
Publisher record · DOI: 10.1109/ICCA66035.2025.11430991
Lightweight Multi-Tenant Security Isolation for Resource-Constrained Edge Computing Platforms: A Theoretical Framework
Sooraj Sathyanarayanan and Varshitha Manjunath.
2025 IEEE 11th International Conference on Edge Computing and Scalable Cloud (EdgeCom). Conference held November 7–9, 2025; added to IEEE Xplore January 22, 2026.
Theoretical research into security isolation between tenants on edge computing platforms with limited resources.
Publisher record · DOI: 10.1109/EdgeCom66327.2025.00028
Research support
My research on the privacy of fitness wearables received grant support from the Ludlow Institute through Timechain Consulting, beginning in 2025.
Applied work
I also build tools and publish analysis that make security and privacy behavior easier to inspect.
- Site Behavior Lab records website behavior during automated browser visits and connects findings to the observed evidence and scan conditions.
- Trace applies known spyware indicators to iPhone diagnostic archives, with explicit coverage limits and incomplete-result handling.
- Independent coverage links to articles discussing my analysis of Microsoft Edge’s network privacy feature and X Chat’s security architecture.
The Projects page also includes open-source contribution records, release verification and security guides.