Cited by 165Smart Grid Security and ResilienceSoftware-Defined Networks and 5GSmart Grid and Power Systems

Software-Defined Networking for Smart Grid Resilience: Opportunities and Challenges

Dong, Xinshu, Lin, Hui, Tan, Rui, Iyer, Ravishankar K., Kalbarczyk, Zbigniew·2015·Proceedings of the 1st ACM Workshop on Cyber-Physical System Security

Abstract

Software-defined networking (SDN) is an emerging networking paradigm that provides unprecedented flexibility in dynamically reconfiguring an IP network. It enables various applications such as network management, quality of service (QoS) optimization, and system resilience enhancement. Pilot studies have investigated the possibilities of applying SDN on smart grid communications, while the specific benefits and risks that SDN may bring to the resilience of smart grids against accidental failures and malicious attacks remain largely unexplored. Without a systematic understanding of these issues and convincing validations of proposed solutions, the power industry will be unlikely to embrace SDN, since resilience is always a key consideration for critical infrastructures like power grids. In this position paper, we aim to provide an initial understanding of these issues, by investigating (1) how SDN can enhance the resilience of typical smart grids to malicious attacks, (2) additional risks introduced by SDN and how to manage them, and (3) how to validate and evaluate SDN-based resilience solutions. Our goal is also to trigger more profound discussions on applying SDN to smart grids and inspire innovative SDN-based solutions for enhancing smart grid resilience.

Integrity signals

Registry

Crossref · 10.1145/2732198.2732203

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • With an understanding of the process and the protocol, an attacker can maliciously alter process control by injecting valid control commands and responses.

    “With an understanding of the process and the protocol, an attacker can maliciously alter the process control by injecting valid control commands and responses with malicious intent [13], [22].”
  • The methodology by Genge and Siaterlis applied on the Tennessee-Eastman chemical process using two attack scenarios on PLCs using Modbus protocol can be used for defence against Stuxnet like attacks.

    “The methodology was applied on the Tennessee-Eastman chemical process using two attack scenarios on PLCs using Modbus protocol and the results show that it can be used for defence against Stuxnet like attacks.”

Cited by

Sorted by citations

Authors
Dong, X., Lin, H., Tan, R., Iyer, R. K., & Kalbarczyk, Z.
Affiliations
  • Advanced Digital Sciences Center (SG)
  • University of Illinois Urbana-Champaign (US)
Venue
Proceedings of the 1st ACM Workshop on Cyber-Physical System Security
Publisher
ACM
Published
2015-04-14
Pages
61-68
OpenAlex
W2050588177
Cited by
165
References
0
Citations by year
2026: 5 · 2025: 11 · 2024: 5 · 2023: 11 · 2022: 7 · 2021: 14 · 2020: 16 · 2019: 23 · 2018: 30 · 2017: 19 · 2016: 17 · 2015: 7
FWCI
34.09
Type
conference paper
Language
en
Open access
closed
Locations
ACM Workshop on Cyber-Physical System Security (CPSS) (publishedVersion)
Funders
  • National Science Foundation (OCI-1032889)
  • Agency for Science, Technology and Research (A*STAR), Singapore (Human-centered Cyber-physical Systems Programme)
Topics
  • Physical Sciences › Engineering › Control and Systems Engineering › Smart Grid Security and Resilience
  • Physical Sciences › Computer Science › Computer Networks and Communications › Software-Defined Networks and 5G
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid and Power Systems
Keywords
software-defined networking, smart grid resilience, smart grid communication, malicious attacks, critical infrastructure security, power grid cybersecurity

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review