Edge Chaining Framework for Black Ice Road Fingerprinting

Abstract

Detecting and reacting efficiently to road condition hazards are challenging given practical restrictions such as limited data availability and lack of infrastructure support. In this paper, we present an edge-cloud chaining solution that bridges the cloud and road infrastructures to enhance road safety. We exploit the roadside infrastructure (e.g., smart lampposts) to form a processing chain at the edge nodes and transmit the essential context to approaching vehicles providing what we refer as road fingerprinting. We approach the problem from two angles: first we focus on semantically defining how an execution pipeline spanning edge and cloud is composed, then we design, implement and evaluate a working prototype based on our assumptions. In addition, we present experimental insights and outline open challenges for next steps. CCS Concepts • Computer systems organization → Distributed architectures; Embedded and cyber-physical systems.

UIDS: Unikernel-based Intrusion Detection System for the Internet of Things

“…Its modularity enabled easier code updates and opened the door to composable, on-demand security with unikernels. In our future work, we plan on exploring the tradeoffs of extending UIDS to anomaly-based detectors and simplifying its setup by using the IncludeOS configuration language NaCl and integrating UIDS with our edge-cloud deployment and chaining framework [7] to orchestrate a network of UIDS and fully exploit its modularity for service composition.…”

What the Fog? Edge Computing Revisited: Promises, Applications and Future Challenges

“…In the latter use case, time criticality clearly becomes more important. This is also the case for the detection of immediate road hazards, e.g., as shown in [201]*.…”

“…The type of data and its importance varies in such networks [210], from simple information services (e.g., information about current traffic conditions) to critical, safety-related events (e.g., warnings about emergency situations or sudden breaking of cars ahead). An example of the latter is the work of Cozzolino et al [201]* that uses an edge infrastructure for black ice road fingerprinting. Liu et al [211] have demonstrated that complex tasks, such as recognizing attacks in ridesharing can even be done with little energy impact on the end device.…”