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Internal network monitoring with DNN and network tomography for in-vehicle networks

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conference contribution
posted on 2023-06-10, 04:59 authored by Amani Mohammad A IbraheemAmani Mohammad A Ibraheem, Zhengguo ShengZhengguo Sheng, George ParisisGeorge Parisis, Jianshan Zhou, Daxin Tian
With the advancements in Internet-of-Things (IoTs), particularly in Internet-of-Vehicles (IoVs), the vehicle becomes more vulnerable to more attack types caused by connecting the vehicle to the outside world. Moreover, the shift towards automotive Ethernet exposes the vehicle to IP-based attacks similar to attacks on computer networks. Most of such attacks tamper with the internal network components in order to gain control or disable some (or all) of the vehicle’s functions. To this end, in this work, we study two in-vehicle network monitoring approaches based on network tomography. The first approach relies purely on deep neural network (DNN) and we call it DNN-based tomography approach, while the second was proposed in a previous work and it uses algebraic network tomography with deep neural network, we call this one DNN-based algebraic approach. We evaluated the inference performance of both approaches using simulations and found that the DNNbased algebraic tomography approach outperforms DNN-based tomography approach with less inference error of about 4.5µs.

History

Publication status

  • Published

File Version

  • Accepted version

Journal

IEEE International Conference on Unmanned Systems

ISSN

2771-7372

Publisher

IEEE

Event name

2022 5th IEEE International Conference on Unmanned Systems

Event location

Guangzhou, China

Event type

conference

Event date

October 28-30 2022

ISBN

9781665484565

Department affiliated with

  • Informatics Publications

Notes

© 20XX IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works

Full text available

  • Yes

Peer reviewed?

  • Yes

Legacy Posted Date

2022-10-03

First Open Access (FOA) Date

2022-10-03

First Compliant Deposit (FCD) Date

2022-10-03

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