Bruhadeshwar Bezawada
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Researcher
Also affiliated: International Institute of Information Technology (2007–2011); Nanjing University of Science and Technology (2014–2016); Indian Institute of Technology Jammu (2021–2022); Mahindra University (2016–2021); International Institute of Information Technology, Hyderabad (2007–2013); Indian Institute of Technology Hyderabad (2014); Malaviya National Institute of Technology Jaipur (2021); Michigan State University (2003–2017); Koneru Lakshmaiah Education Foundation (2016); Nanjing University (2014–2017); Colorado State University (2018–2019)
Faculty Researcher
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Bruhadeshwar Bezawada's research focuses on developing advanced techniques for cybersecurity and privacy, particularly within mobile and IoT environments. His work addresses the detection of malicious activities such as phishing and malware, employing methods like deep learning and adversarial sampling. Bezawada has investigated privacy-preserving methods for fingerprinting IoT devices and protecting personal image data from automated attacks. His publications also explore the verification of application capabilities and the imperceptible generation of image patches for adversarial inference. Bezawada's scholarship metrics include an h-index of 17, with 64 total publications and 1,230 total citations.
Metrics
- h-index: 17
- Publications: 65
- Citations: 1,245
Selected Publications
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“Room for More?": Behavior Adaptive IoT Device-type Fingerprinting (2026)
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Privacy in Federated Learning Models for Intrusion Detection Systems (2026)
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Searchable encryption scheme for static Hamming distance range queries (2026)
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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)
Collaboration Network
Top Collaborators
- A Small World–Privacy Preserving IoT Device-Type Fingerprinting with Small Datasets
- Jibber-Jabber!: Encoding the (Un-)Natural Language of Network Devices and Applications
- <i>"Bring your own device!":</i> Adaptive IoT Device-type Fingerprinting using Automatic Behavior Extraction [Work In Progress Paper]
- It's About Time!: Exploiting Timing Variance for IoT Device-Type Fingerprinting
- A Small World–Privacy Preserving IoT Device-Type Fingerprinting with Small Datasets
- Jibber-Jabber!: Encoding the (Un-)Natural Language of Network Devices and Applications
- <i>"Bring your own device!":</i> Adaptive IoT Device-type Fingerprinting using Automatic Behavior Extraction [Work In Progress Paper]
- It's About Time!: Exploiting Timing Variance for IoT Device-Type Fingerprinting
- A Small World–Privacy Preserving IoT Device-Type Fingerprinting with Small Datasets
- Jibber-Jabber!: Encoding the (Un-)Natural Language of Network Devices and Applications
- <i>"Bring your own device!":</i> Adaptive IoT Device-type Fingerprinting using Automatic Behavior Extraction [Work In Progress Paper]
- Images in Motion?: A First Look Into Video Leakage in Collaborative Deep Learning
- It's About Time!: Exploiting Timing Variance for IoT Device-Type Fingerprinting
- Jibber-Jabber!: Encoding the (Un-)Natural Language of Network Devices and Applications
- Jibber-Jabber!: Encoding the (Un-)Natural Language of Network Devices and Applications
- <i>"Bring your own device!":</i> Adaptive IoT Device-type Fingerprinting using Automatic Behavior Extraction [Work In Progress Paper]
- Images in Motion?: A First Look Into Video Leakage in Collaborative Deep Learning
- Images in Motion?: A First Look Into Video Leakage in Collaborative Deep Learning
- It's About Time!: Exploiting Timing Variance for IoT Device-Type Fingerprinting
- “Just a Patch”: Imperceptible Image Patch Generation for Adversarial Inference
- “Just a Patch”: Imperceptible Image Patch Generation for Adversarial Inference
- “Just a Patch”: Imperceptible Image Patch Generation for Adversarial Inference
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