Side-Channel Security Analysis of Connected Vehicle Communications Using Hidden Markov Models-Reference-Cited by-同舟云学术

Side-Channel Security Analysis of Connected Vehicle Communications Using Hidden Markov Models

Published:2022-10 Issue:10 Volume:23 Page:17562-17574
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Sun Fei¹,Brooks Richard R.¹^ORCID,Comert Gurcan²^ORCID,Tusing Nathan¹^ORCID

Affiliation:

1. Holcombe Department of Electrical and Computer Engineering, Clemson, SC, USA

2. Department of Computer Science, Physics, and Engineering, Benedict College, Columbia, SC, USA

Funder

U.S. Department of Transportation (USDOT), Center for Connected Multimodal Mobility (C2M2) (Tier 1 University Transportation Center), Clemson University, Clemson, SC, USA

U.S. Department of Energy-National Nuclear Security Administration (NNSA) PuMP, MSIPP IAM-EMPOWEREd, MSIPP, Department of Education MSEIP Programs

NASA ULI, University of South Carolina-Lead

NSF

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

https://ieeexplore.ieee.org/ielam/6979/9916643/9756659-aam.pdf

Reference36 articles.

1. A Hybrid Statistical Technique for Modeling Recurrent Tracks in a Compact Set

2. Inferring Statistically Significant Hidden Markov Models

3. An Intelligent DDoS Attack Detection System Using Packet Analysis and Support Vector Machine

4. A normalized statistical metric space for hidden Markov models;lu;IEEE Trans Cybern,2013

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