Attacking the DLMS/COSEM Advanced Metering Infrastructure

The Device Language Message Specification / Companion Specification for Energy Metering (DLMS/COSEM) constitutes the de-facto communications backbone of contemporary Advanced Metering Infrastructure. As deployment density grows, so too does the protocol’s exposed attack surface, warranting systematic scrutiny. This paper contributes a structured catalogue of DLMS/COSEM-specific cyber-attacks. After presenting the protocol stack and the AMI architecture, we develop a threat model spanning edge meters, field-area networks, and utility head-ends. We then describe 6 attacks, grouped into three attack classes: (i) False-Data Injection, (ii) Connection Disruption and Session Hijacking, (iii) Denial-of-Service at the application and network layers. The paper concludes by outlining research directions for detecting and mitigating these threats.

Authors

Institutions

Publication Details

Published
2025-08-04
DOI
https://doi.org/10.1109/csr64739.2025.11130169
Primary Topic
Smart Grid Security and Resilience
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Attacking the DLMS/COSEM Advanced Metering Infrastructure

Athanasios Arvanitis, Christos Dalamagkas, Nikolaos Nikoloudakis, Dimitris Merkouris et al.
Smart Grid Security and Resilience
article

Attacking the DLMS/COSEM Advanced Metering Infrastructure

Athanasios Arvanitis, Christos Dalamagkas, Nikolaos Nikoloudakis, Dimitris Merkouris, Ioannis Papadopoulos
article en

Abstract

The Device Language Message Specification / Companion Specification for Energy Metering (DLMS/COSEM) constitutes the de-facto communications backbone of contemporary Advanced Metering Infrastructure. As deployment density grows, so too does the protocol’s exposed attack surface, warranting systematic scrutiny. This paper contributes a structured catalogue of DLMS/COSEM-specific cyber-attacks. After presenting the protocol stack and the AMI architecture, we develop a threat model spanning edge meters, field-area networks, and utility head-ends. We then describe 6 attacks, grouped into three attack classes: (i) False-Data Injection, (ii) Connection Disruption and Session Hijacking, (iii) Denial-of-Service at the application and network layers. The paper concludes by outlining research directions for detecting and mitigating these threats.

Public Power Corporation (Greece) (GR)
Industry, innovation and infrastructure
Openalex Percentile: Top 73%
Smart Grid Security and Resilience
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.