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Stanislav Ponomarev

dblp:132/3910 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Internet of things and sensor networks › industrial network › industrial wireless networks
industrial control systems
0.212016
Industrial Control System Network Intrusion Detection by Telemetry Analysis · IEEE Trans. Dependable Secur. Comput. 2016
Network security › intrusion detection and prevention
intrusion detection
0.212016
Industrial Control System Network Intrusion Detection by Telemetry Analysis · IEEE Trans. Dependable Secur. Comput. 2016
Network management and operations › network monitoring
telemetry analysis
0.112016
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
YearPublicationVenuePosition
2016 Industrial Control System Network Intrusion Detection by Telemetry Analysis
abstract
Until 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