SoK: Security Evaluation of Home-Based IoT Deployments
By Omar Alrawi, Chaz Lever, Manos Antonakakis, Fabian Monrose. IEEE Symposium on Security and Privacy, 2019
420 citations recorded by the source corpus.
Home-based IoT devices have a bleak reputation regarding their security practices. On the surface, the insecurities of IoT devices seem to be caused by integration problems that may be addressed by simple measures, but this work finds that to be a naive assumption. The truth is, IoT deployments, at their core, utilize traditional compute systems, such as embedded, mobile, and network. These components have many unexplored challenges such as the effect of over-privileged mobile applications on embedded devices. Our work proposes a methodology that researchers and practitioners could employ to analyze security properties for home-based IoT devices. We systematize the literature for home-based IoT using this methodology in order to understand attack techniques, mitigations, and stakeholders. Further, we evaluate \numDevices devices to augment the systematized literature in order to identify neglected research areas. To make this analysis transparent and easier to adapt by the community, we provide a public portal to share our evaluation data and invite the community to contribute their independent findings.
Subfields: Artificial Intelligence, Computer Networks and Communications, Signal Processing
View Paper: https://www.semanticscholar.org/paper/c7737579b08914a7d589af550336cca41a602d65
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In Artificial Intelligence
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Citations in the corpus
- Security of the Internet of Things: Vulnerabilities, Attacks, and Countermeasures (2019, background): “Their results have shown that the same security issues and vulnerabilities discussed in the literature indeed exist in today’s IoT systems [162].”