ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2211.01845
  4. Cited By
Reinforcement Learning based Cyberattack Model for Adaptive Traffic
  Signal Controller in Connected Transportation Systems

Reinforcement Learning based Cyberattack Model for Adaptive Traffic Signal Controller in Connected Transportation Systems

31 October 2022
M. Irfan
Mizanur Rahman
T. Atkison
Sagar Dasgupta
A. Hainen
    AAML
ArXiv (abs)PDFHTML

Papers citing "Reinforcement Learning based Cyberattack Model for Adaptive Traffic Signal Controller in Connected Transportation Systems"

4 / 4 papers shown
Title
Vehicular Communication Security: Multi-Channel and Multi-Factor Authentication
Vehicular Communication Security: Multi-Channel and Multi-Factor Authentication
Marco De Vincenzi
Siyang Song
Chen Bo Calvin Zhang
Manuel Garcia
Shaozu Ding
Chiara Bodei
Ilaria Matteucci
Dajiang Suo
Dajiang Suo
115
0
0
01 May 2025
Attacking Deep Reinforcement Learning-Based Traffic Signal Control
  Systems with Colluding Vehicles
Attacking Deep Reinforcement Learning-Based Traffic Signal Control Systems with Colluding Vehicles
Ao Qu
Yihong Tang
Wei-Ying Ma
32
9
0
04 Nov 2021
An Innovative Attack Modelling and Attack Detection Approach for a
  Waiting Time-based Adaptive Traffic Signal Controller
An Innovative Attack Modelling and Attack Detection Approach for a Waiting Time-based Adaptive Traffic Signal Controller
Sagar Dasgupta
Courtland Hollis
Mizanur Rahman
T. Atkison
46
4
0
19 Aug 2021
Playing Atari with Deep Reinforcement Learning
Playing Atari with Deep Reinforcement Learning
Volodymyr Mnih
Koray Kavukcuoglu
David Silver
Alex Graves
Ioannis Antonoglou
Daan Wierstra
Martin Riedmiller
132
12,272
0
19 Dec 2013
1