Corpus ID: 231418844

SHARKS: Smart Hacking Approaches for RisK Scanning in Internet-of-Things and Cyber-Physical Systems based on Machine Learning

@article{Saha2021SHARKSSH,
  title={SHARKS: Smart Hacking Approaches for RisK Scanning in Internet-of-Things and Cyber-Physical Systems based on Machine Learning},
  author={Tanujay Saha and N. Aaraj and Neel Ajjarapu and N. Jha},
  journal={ArXiv},
  year={2021},
  volume={abs/2101.02780}
}
  • Tanujay Saha, N. Aaraj, +1 author N. Jha
  • Published 2021
  • Computer Science
  • ArXiv
  • Cyber-physical systems (CPS) and Internet-of-Things (IoT) devices are increasingly being deployed across multiple functionalities, ranging from healthcare devices and wearables to critical infrastructures, e.g., nuclear power plants, autonomous vehicles, smart cities, and smart homes. These devices are inherently not secure across their comprehensive software, hardware, and network stacks, thus presenting a large attack surface that can be exploited by hackers. In this article, we present an… CONTINUE READING

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