dc.contributor.author | Ghanavati, M | |
dc.contributor.author | Chakravarthy, A | |
dc.contributor.author | Menon, PP | |
dc.date.accessioned | 2017-10-05T14:47:33Z | |
dc.date.issued | 2017-10-09 | |
dc.description.abstract | This paper considers scenarios wherein a group of
malicious vehicles on a highway perform a cooperative attack
with the motive of creating undesirable wave effects among other
vehicles on the highway. The two species of vehicles - malicious
vehicles and normal vehicles, and their associated interaction
effects, are modeled using Partial Differential Equations (PDEs).
The malicious vehicles, which may be arbitrarily distributed on
the highway, perform a sequence of velocity changes with the
objective of making the density/velocity profile on the highway,
track a reference profile. This reference profile (chosen by the
malicious vehicles) has the property that once generated, it
spontaneously evolves into a shock wave that propagates along
the highway. Analytical expressions governing the velocity inputs
of the malicious vehicles with which they can generate such waves
are determined, for perfect as well as imperfect information
scenarios. Simulation results are presented to validate the theory | en_GB |
dc.description.sponsorship | The first two authors would like to acknowledge support from the National Science Foundation. This material is based upon work supported by the National Science Foundation under Grant IIS-1351677. | en_GB |
dc.identifier.citation | Published online 9 October 2017 | en_GB |
dc.identifier.doi | 10.1109/TCNS.2017.2760865 | |
dc.identifier.uri | http://hdl.handle.net/10871/29700 | |
dc.language.iso | en | en_GB |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_GB |
dc.rights | Copyright © 2017 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. | |
dc.subject | Mathematical model | |
dc.subject | Road transportation | |
dc.subject | Automobiles | |
dc.subject | Analytical models | |
dc.subject | Artificial neural networks | |
dc.subject | Manganese | |
dc.subject | Control systems | |
dc.title | Analysis of Automotive Cyber-Attacks on Highways using Partial Differential Equation Models | en_GB |
dc.type | Article | en_GB |
dc.identifier.issn | 2325-5870 | |
dc.description | This is the author accepted manuscript. | en_GB |
dc.identifier.journal | IEEE Transactions on Control of Network Systems | en_GB |