… layer solutions to detect the developed spoofing attacks. First, we propose a challenge-response
defense where the victim AV detects the spoofing attacks from … the spoofing attacks. Our …

… We examine different attacks launched in a layer-based approach. We conceptualize the
architecture of AVs in a four-layered model. Then, we survey security and privacy attacks and …

… Autonomous Vehicle has been transforming intelligent … , autonomous vehicles are getting
connected to each other and to infrastructures, forming Connected and Autonomous Vehicles (…

… The number of Connected and Autonomous Vehicles (CAVs) is increasing rapidly in … of
attacks, impacts of attacks, attack features, cyber-risk, defense methodologies against attacks, …

… In this survey, we analyzed previously conducted attack and defense studies described …
autonomous vehicles. We classified autonomous attacks into the three categories of autonomous …

… the vehicles as well as the roadside units. This article provides an overview of autonomous
vehicle communication layers… -specific attacks, in this section we only discuss attacks that are …

… of vehicles and the integration of AI features. The performance of the autonomous vehicle
(AV)-based applications is constrained by the DL models' susceptibility to adversarial attacks …

… issues with the traditional attacks based techniques in VANET. … traditional attacks on Connected
Autonomous Vehicles and … The second layer is also a 100 neuron LSTM layer, but it will …

… of autonomous vehicles is increasing, it is intuitive that it would bring along with more possible
attacks … in the input layer, two neurons in the hidden layer, and one neuron in the output …

… : 1) the attack’s impact on the driving safety of autonomous vehicles and the attack’s impact
on … 8, we show how the patch activation area propagates layer by layer in the Stereo R-CNN …