Enes Erdin
This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.
Researcher
Also affiliated: Florida International University (2018–2020); Conway School of Landscape Design (2020–2023)
Faculty Researcher
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Enes Erdin's research focuses on the application of blockchain technology, specifically Bitcoin's Lightning Network, to facilitate micro-payments within the Internet of Things (IoT) ecosystem. His work investigates the development and evaluation of scalable and secure payment channel networks designed for IoT devices. Erdin has published research on systems like LNGate and LNGate2, which aim to enable bidirectional micro-transactions using threshold cryptography to enhance privacy and security. His publications explore the privacy implications of cryptocurrency payment channel networks and propose solutions for enabling micropayments in consumer IoT applications, addressing challenges related to transaction speed and cost.
Metrics
- h-index: 9
- Publications: 24
- Citations: 536
Selected Publications
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LNGate2: Secure Bidirectional IoT Micro-Payments Using Bitcoin's Lightning Network and Threshold Cryptography (2023)
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D-LNBot: A Scalable, Cost-Free and Covert Hybrid Botnet on Bitcoin's Lightning Network (2023)
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An evaluation of cryptocurrency payment channel networks and their privacy implications (2021)
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3-of-3 multisignature approach for enabling lightning network micro-payments on IoT devices (2021)
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LNGate (2021)
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LNGate: Powering IoT with Next Generation Lightning Micro-payments using Threshold Cryptography (2021)
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A scalable private Bitcoin payment channel network with privacy guarantees (2021)
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Cryptocurrency Solutions to Enable Micropayments in Consumer IoT (2021)
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An Evaluation of Cryptocurrency Payment Channel Networks and Their Privacy Implications (2021)
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Enabling Micro-payments on IoT Devices using Bitcoin Lightning Network (2021)
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Improving transaction success rate in cryptocurrency payment channel networks (2020)
Collaboration Network
Top Collaborators
- An evaluation of cryptocurrency payment channel networks and their privacy implications
- A scalable private Bitcoin payment channel network with privacy guarantees
- LNGate
- LNGate2: Secure Bidirectional IoT Micro-Payments Using Bitcoin's Lightning Network and Threshold Cryptography
- Cryptocurrency Solutions to Enable Micropayments in Consumer IoT
Showing 5 of 10 shared publications
- An evaluation of cryptocurrency payment channel networks and their privacy implications
- LNGate
- LNGate2: Secure Bidirectional IoT Micro-Payments Using Bitcoin's Lightning Network and Threshold Cryptography
- Cryptocurrency Solutions to Enable Micropayments in Consumer IoT
- Enabling Micro-payments on IoT Devices using Bitcoin Lightning Network
Showing 5 of 8 shared publications
- LNGate
- LNGate2: Secure Bidirectional IoT Micro-Payments Using Bitcoin's Lightning Network and Threshold Cryptography
- Cryptocurrency Solutions to Enable Micropayments in Consumer IoT
- Enabling Micro-payments on IoT Devices using Bitcoin Lightning Network
- LNGate: Powering IoT with Next Generation Lightning Micro-payments using Threshold Cryptography
Showing 5 of 6 shared publications
- LNGate
- LNGate2: Secure Bidirectional IoT Micro-Payments Using Bitcoin's Lightning Network and Threshold Cryptography
- LNGate: Powering IoT with Next Generation Lightning Micro-payments using Threshold Cryptography
- A scalable private Bitcoin payment channel network with privacy guarantees
- D-LNBot: A Scalable, Cost-Free and Covert Hybrid Botnet on Bitcoin's Lightning Network
- A scalable private Bitcoin payment channel network with privacy guarantees
- A scalable private Bitcoin payment channel network with privacy guarantees
- D-LNBot: A Scalable, Cost-Free and Covert Hybrid Botnet on Bitcoin's Lightning Network
- LNGate2: Secure Bidirectional IoT Micro-Payments Using Bitcoin's Lightning Network and Threshold Cryptography
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