COSMOS: Collaborative, Seamless and Adaptive Sentinel for the Internet of Things.

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ID: 88134
2019
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Abstract
The Internet of Things (IoT) became established during the last decade as an emerging technology with considerable potentialities and applicability. Its paradigm of penetrated the real world, with smart devices located in several daily appliances. Such intelligent objects are able to communicate autonomously through already existing network infrastructures, thus generating a more concrete integration between real world and computer-based systems. On the downside, the great benefit carried by the IoT paradigm in our life brings simultaneously severe security issues, since the information exchanged among the objects frequently remains unprotected from malicious attackers. The paper at hand proposes COSMOS (Collaborative, Seamless and Adaptive Sentinel for the Internet of Things), a novel sentinel to protect smart environments from cyber threats. Our sentinel shields the IoT devices using multiple defensive rings, resulting in a more accurate and robust protection. Additionally, we discuss the current deployment of the sentinel on a commodity device (i.e., Raspberry Pi). Exhaustive experiments are conducted on the sentinel, demonstrating that it performs meticulously even in heavily stressing conditions. Each defensive layer is tested, reaching a remarkable performance, thus proving the applicability of COSMOS in a distributed and dynamic scenario such as IoT. With the aim of easing the enjoyment of the proposed sentinel, we further developed a friendly and ease-to-use COSMOS App, so that end-users can manage sentinel(s) directly using their own devices (e.g., smartphone).
Reference Key
nespoli2019cosmossensors Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Nespoli, Pantaleone;Useche Pelaez, David;Díaz López, Daniel;Gómez Mármol, Félix;
Journal sensors
Year 2019
DOI
E1492
URL
Keywords
Machine learning Internet of Things smart home intrusion detection system malware detection sentinel for the iot threat intelligence

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