R
Raghava Rao Mukkamala
Researcher at Copenhagen Business School
Publications - 89
Citations - 1871
Raghava Rao Mukkamala is an academic researcher from Copenhagen Business School. The author has contributed to research in topics: Social media & Computer science. The author has an hindex of 19, co-authored 77 publications receiving 1247 citations. Previous affiliations of Raghava Rao Mukkamala include Westerdals Oslo School of Arts, Communication and Technology & IT University of Copenhagen.
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Proceedings ArticleDOI
Blockchain-based Personal Health Data Sharing System Using Cloud Storage
TL;DR: This research work proposes a conceptual design for sharing personal continuous-dynamic health data using blockchain technology supplemented by cloud storage to share the health-related information in a secure and transparent manner and introduces a data quality inspection module based on machine learning techniques to have control over data quality.
Journal ArticleDOI
Regulating Cryptocurrencies: A Supervised Machine Learning Approach to De-Anonymizing the Bitcoin Blockchain
Haohua Sun Yin,Klaus Christian Langenheldt,Mikkel Alexander Harlev,Raghava Rao Mukkamala,Ravikiran Vatrapu +4 more
TL;DR: A novel approach for de-anonymizing the Bitcoin Blockchain by using Supervised Machine Learning to predict the type of yet-unidentified entities, and discusses the potential applications of the method for organizational regulation and compliance.
Proceedings ArticleDOI
Breaking Bad: De-Anonymising Entity Types on the Bitcoin Blockchain Using Supervised Machine Learning
Mikkel Alexander Harlev,Haohua Sun Yin,Klaus Christian Langenheldt,Raghava Rao Mukkamala,Ravi Vatrapu +4 more
TL;DR: This paper presents a novel approach for reducing the anonymity of the Bitcoin Blockchain by using Supervised Machine Learning to predict the type of yet-unidentified entities, and finds that it can indeed predict thetype of a yet- unidentified entity.
Journal ArticleDOI
Declarative Event-Based Workflow as Distributed Dynamic Condition Response Graphs
TL;DR: In this article, a dynamic condition response graph (DCRG) is presented as a declarative, event-based process model inspired by the workflow language employed by an industrial partner and conservatively generalizing prime event structures.
Proceedings ArticleDOI
BPDIMS:A Blockchain-based Personal Data and Identity Management System
TL;DR: This work proposes a conceptual design and high-level architecture for a Blockchain-based Personal Data and Identity Management System (BPDIMS), a human-centric and GDPR-compliant personal data and identity management system based on the blockchain technology and describes how BPDIMs’s architecture utilizes blockchain technology to provide a high- level of security, trust and transparency.