CRDCSESep 23, 2019

Suspicious Transactions in Smart Spaces

arXiv:1909.10644v11 citations
Originality Synthesis-oriented
AI Analysis

This addresses security concerns in IoT systems for applications like smart homes or cities, but appears incremental as it builds on existing blockchain and contract concepts.

The paper tackles the problem of detecting suspicious transactions in IoT-enabled smart spaces by proposing a blockchain-based system model with iContracts (interactive contracts) that uses proof-of-provenance for contextual evaluation.

IoT systems have enabled ubiquitous communication in physical spaces, making them smart Nowadays, there is an emerging concern about evaluating suspicious transactions in smart spaces. Suspicious transactions might have a logical structure, but they are not correct under the present contextual information of smart spaces. This research reviews suspicious transactions in smart spaces and evaluates the characteristics of blockchain technology to manage them. Additionally, this research presents a blockchain-based system model with the novel idea of iContracts (interactive contracts) to enable contextual evaluation through proof-of-provenance to detect suspicious transactions in smart spaces.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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