Bruhadeshwar Bezawada Data-verified
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Biography and Research Information
OverviewAI-generated summary
Bruhadeshwar Bezawada's research focuses on developing advanced computational methods for enhancing security and privacy in digital systems, with a particular emphasis on mobile and IoT environments. His work has addressed the detection of phishing attacks through adaptive and privacy-preserving techniques, as demonstrated in "X-Phish: Days of Future Past." Bezawada has also investigated methods for Android malware detection using multimodal deep learning frameworks, such as SHIELD, and explored techniques for verifying application capabilities and permissions in MapperDroid. Further research includes the study of video leakage in collaborative deep learning and the development of privacy-preserving IoT device-type fingerprinting using automatic behavior extraction and small datasets. His scholarship metrics include an h-index of 18, with over 1,240 citations across 60 publications.
Metrics
- h-index: 17
- Publications: 62
- Citations: 1,224
Selected Publications
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“Just a Patch”: Imperceptible Image Patch Generation for Adversarial Inference (2026)
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It's About Time!: Exploiting Timing Variance for IoT Device-Type Fingerprinting (2025)
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Images in Motion?: A First Look Into Video Leakage in Collaborative Deep Learning (2025)
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<i>"Bring your own device!":</i> Adaptive IoT Device-type Fingerprinting using Automatic Behavior Extraction [Work In Progress Paper] (2025)
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Jibber-Jabber!: Encoding the (Un-)Natural Language of Network Devices and Applications (2025)
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A Small World–Privacy Preserving IoT Device-Type Fingerprinting with Small Datasets (2024)
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