Demo Data from EDBT 2026 / reviewers in the wild / expert
Catherine Blackadar Nelson
dblp:22/10789
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer networks
1 paper |
Internet of things and sensor networks · 100% | |
| Network and information security
1 paper |
Authentication and access control · 77% Cyber-physical and IoT security · 23% |
Topics — the 3 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Internet of things and sensor networks
industrial iot |
0.2 | 1 | 2016 | Using Smart Edge IoT Devices for Safer, Rapid Response With Industry IoT Control Operations · Proc. IEEE 2016 |
Authentication and access control › user authentication
challenge-response authentication |
0.2 | 1 | 2016 | Using Smart Edge IoT Devices for Safer, Rapid Response With Industry IoT Control Operations · Proc. IEEE 2016 |
Internet of things and sensor networks › iot networks › iot communication
iot gateway |
0.1 | 1 | 2016 | Using Smart Edge IoT Devices for Safer, Rapid Response With Industry IoT Control Operations · Proc. IEEE 2016 |
Methods — techniques the papers use, named apart from their topics
signal processing · 0.5image processing · 0.5cryptography · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | Using Smart Edge IoT Devices for Safer, Rapid Response With Industry IoT Control OperationsabstractThe Internet of Things (IoT) offers the user seamless interoperability and connectivity between devices, systems, services, disparate networks, and in particular control systems. End users expect to connect quickly and transparently via any endpoint device, be it a phone, tablet, wearable, TV, car, or other system that is Internet enabled. Smart IoT devices can serve as versatile control system interfaces, allowing for rapid response and potentially ubiquitous access. However, these devices can present significant security challenges. Using these technologies for user access control at IoT endpoints is vulnerable to replay, man-in-the-middle, and denial-of-service attacks. This paper presents a model that combines the capabilities of smart IoT devices with control system gateways using real-time challenge response for secure control operations. The proposed solution using both endpoint and gateway devices employs a mix of compute, cryptography, signal/image processing, and communication capabilities for authentication and authorization functions. We propose a model that is more secure, scalable, and resilient with real-time performance as compared to traditional approaches. We also provide an example IoT architecture, by showing an overview of Intel's IoT framework for control system gateways currently deployed in control, manufacturing, transportation, and retail tracking environments. Michael W. Condry, Catherine Blackadar Nelson |
Proc. IEEE | 2 |