Demo Data from EDBT 2026 / reviewers in the wild / expert
Stanislav Ponomarev
dblp:132/3910
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2016
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 1 · 1 first-author
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 · 77% Network management and operations · 23% | |
| Network and information security
1 paper |
Network security · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Internet of things and sensor networks › industrial network › industrial wireless networks
industrial control systems |
0.2 | 1 | 2016 | Industrial Control System Network Intrusion Detection by Telemetry Analysis · IEEE Trans. Dependable Secur. Comput. 2016 |
Network security › intrusion detection and prevention
intrusion detection |
0.2 | 1 | 2016 | Industrial Control System Network Intrusion Detection by Telemetry Analysis · IEEE Trans. Dependable Secur. Comput. 2016 |
Network management and operations › network monitoring
telemetry analysis |
0.1 | 1 | 2016 | Industrial Control System Network Intrusion Detection by Telemetry Analysis · IEEE Trans. Dependable Secur. Comput. 2016 |
Methods — techniques the papers use, named apart from their topics
telemetry analysis · 0.5simulated PLC units · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | Industrial Control System Network Intrusion Detection by Telemetry AnalysisabstractUntil recently, industrial control systems (ICSs) used “air-gap” security measures, where every node of the ICS network was isolated from other networks, including the Internet, by a physical disconnect. Attaching ICS networks to the Internet benefits companies and engineers who use them. However, as these systems were designed for use in the air-gapped security environment, protocols used by ICSs contain little to no security features and are vulnerable to various attacks. This paper proposes an approach to detect the intrusions into network attached ICSs by measuring and verifying data that is transmitted through the network but is not inherently the data used by the transmission protocol-network telemetry. Using simulated PLC units, the developed IDS was able to achieve 94.3 percent accuracy when differentiating between machines of an attacker and engineer on the same network, and 99.5 percent accuracy when differentiating between attacker and engineer on the Internet. Stanislav Ponomarev, Travis Atkison |
IEEE Trans. Dependable Secur. Comput. | 1 |