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Sökning: WFRF:(Lindemer Samuel)

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1.
  • Höglund, Joel, et al. (författare)
  • PKI4IoT : Towards public key infrastructure for the Internet of Things
  • 2020
  • Ingår i: Computers & security (Print). - : Elsevier BV. - 0167-4048 .- 1872-6208. ; 89
  • Tidskriftsartikel (refereegranskat)abstract
    • Public Key Infrastructure is the state-of-the-art credential management solution on the Internet. However, the millions of constrained devices that make of the Internet of Things currently lack a centralized, scalable system for managing keys and identities. Modern PKI is built on a set of protocols which were not designed for constrained environments, and as a result many small, battery-powered IoT devices lack the required computing resources. In this paper, we develop an automated certificate enrollment protocol light enough for highly constrained devices, which provides end-to-end security between certificate authorities (CA) and the recipient IoT devices. We also design a lightweight profile for X.509 digital certificates with CBOR encoding, called XIOT. Existing CAs can now issue traditional X.509 to IoT devices. These are converted to and from the XIOT format by edge devices on constrained networks. This procedure preserves the integrity of the original CA signature, so the edge device performing certificate conversion need not be trusted. We implement these protocols within the Contiki embedded operating system and evaluate their performance on an ARM Cortex-M3 platform. Our evaluation demonstrates reductions in energy expenditure and communication latency. The RAM and ROM required to implement these protocols are on par with the other lightweight protocols in Contiki’s network stack.
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3.
  • Mohan, Naveen, et al. (författare)
  • Vector Mapping for Autoware Open Planner
  • 2023
  • Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
    • This repository contains code for the AD-EYE testbed for Automated Driving and Intelligent Transportation Systems, located at KTH Campus Valhallavägen, designed and developed by Naveen Mohan and others.The specific contents of this repository enable the extraction of road and lane network definitions from a PreScan compatible .pex format, and output it into CSV files that comply with the format used by Autoware's Vector maps.The code in this repository was first created as part of a Embedded Systems capstone course at KTH in 2018.
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