# Exploring Spatial, Temporal, and Logical Attacks on the Bitcoin Network

## TL;DR

This paper investigates various attack vectors on the Bitcoin network, revealing spatial, temporal, and logical vulnerabilities that could compromise its decentralization and privacy, through comprehensive data-driven analysis.

## Contribution

It extends previous spatial analysis by exploring temporal and logical attack dimensions, providing a more complete understanding of Bitcoin network vulnerabilities.

## Key findings

- Bitcoin nodes are centralized across autonomous systems, risking BGP attacks.
- Nodes exhibit non-uniform consensus, enabling network partitioning.
- Diversity in Bitcoin software can lead to privacy breaches.

## Abstract

In this paper, we explore the partitioning attacks on the Bitcoin network, which is shown to exhibit spatial bias, and temporal and logical diversity. Through data-driven study we highlight: 1) the centralization of Bitcoin nodes across autonomous systems, indicating the possibility of BGP attacks, 2)the non-uniform consensus among nodes, that can be exploited to partition the network, and 3)the diversity in the Bitcoin software usage that can lead to privacy attacks. Atop the prior work, which focused on spatial partitioning, our work extends the analysis of the Bitcoin network to understand the temporal and logical effects on the robustness of the Bitcoin network.