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.
Associate Professor
Also affiliated: Florida International University (2018–2022)
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Enes Erdin's research focuses on developing and evaluating frameworks for cybersecurity and decentralized systems. He has investigated blockchain technology for applications such as connected vehicles and electric vehicle charging networks, aiming to enhance transaction efficiency and privacy. Erdin also works on hardware-assisted security solutions, including threat detection for USB devices and insider threats, emphasizing operating system independence. His work has explored improving transaction success rates and reducing fees in cryptocurrency payment channel networks, with publications detailing scalable private networks offering privacy guarantees. Erdin's scholarship metrics include an h-index of 9, with 24 total publications and 547 citations.
Metrics
- h-index: 11
- Publications: 24
- Citations: 621
Positions
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Associate Professor publications 2020–2023University of Central Arkansas Institution web page
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
- Improving transaction success rate in cryptocurrency payment channel networks
- A scalable private Bitcoin payment channel network with privacy guarantees
- 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
Showing 5 of 11 shared publications
- Improving transaction success rate in cryptocurrency payment channel networks
- 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
Showing 5 of 9 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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