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Ahmed E. Kosba

Researcher at University of Maryland, College Park

Publications -  29
Citations -  4892

Ahmed E. Kosba is an academic researcher from University of Maryland, College Park. The author has contributed to research in topics: Smart contract & Cryptocurrency. The author has an hindex of 19, co-authored 29 publications receiving 4070 citations. Previous affiliations of Ahmed E. Kosba include Alexandria University.

Papers
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Proceedings ArticleDOI

Hawk: The Blockchain Model of Cryptography and Privacy-Preserving Smart Contracts

TL;DR: In this article, the authors present Hawk, a decentralized smart contract system that does not store financial transactions in the clear on the blockchain, thus retaining transactional privacy from the public's view.
Book ChapterDOI

On Scaling Decentralized Blockchains

TL;DR: In this article, the authors analyze how fundamental and circumstantial bottlenecks in Bitcoin limit the ability of its current peer-to-peer overlay network to support substantially higher throughputs and lower latencies.
Posted Content

Step by Step Towards Creating a Safe Smart Contract: Lessons and Insights from a Cryptocurrency Lab.

TL;DR: This work documents the experiences in teaching smart contract programming to undergraduate students at the University of Maryland, the first pedagogical attempt of its kind.
Book ChapterDOI

Step by Step Towards Creating a Safe Smart Contract: Lessons and Insights from a Cryptocurrency Lab

TL;DR: In this paper, the authors document their experiences in teaching smart contract programming to undergraduate students at the University of Maryland, the first pedagogical attempt of its kind, where smart contracts deal directly with the movement of valuable currency units between contractual parties, security of a contract program is of paramount importance.
Journal ArticleDOI

Nuzzer: A Large-Scale Device-Free Passive Localization System for Wireless Environments

TL;DR: This paper presents the design, implementation, and analysis of Nuzzer, a large-scale DfP localization system, which tracks entities in real environments, rich in multipath, and gives an algorithm for estimating the number of entities in an area of interest and localizing them into coarse-grained zones to enhance the scalability of the system.