Multi-transaction and carbon-aware strategies for profit-oriented FDIAs on electricity trading systems

Abstract

The integration of information systems in energy
markets enhances operational efficiency. However, this integration
introduces cybersecurity risks, particularly profit-orientedfalse-
data-injection-attacks (FDIAs), which aim to cause economic
losses by manipulating energy prices. This paper identifies
two underexplored aspects of profit-oriented FDIA research.
First, existing attack models focus on single virtual transactions
with fixed trading volumes, overlooking the potential of attackers
engaging in a multi-transaction with adjustable volumes. Second,
the transition towards a carbon-aware Locational-Marginal-Price
(LMP) mechanism, driven by low-carbon initiatives, remains
uninvestigated in profit-oriented-FDIA contexts. This paper proposes
a strategic FDIA model to explore attack strategies across
multiple transactions and evaluate the impact of carbon-aware
LMP on FDIA effectiveness. The proposed attack model, evaluated
using the PJM 5-bus system, demonstrates its potential
to cause both economic losses and unintended carbon emissions.
This highlights the urgency of enhancing cybersecurity measures
in the integrated electricity and carbon markets, given evolving
carbon emission regulations.

More information

Identifiers

ORCID for Leonardo Aniello: orcid.org/0000-0003-2886-8445

Catalogue record

Export record