False data injection attack detection for secure distributed demand response in smart grids

T Dayaratne, M Salehi, C Rudolph… - 2022 52nd Annual …, 2022 - ieeexplore.ieee.org
Distributed demand response (DR) schemes for smart energy networks rely on data from
various sources, many of them outside the network operator's perimeter. Therefore …

Distributed security state estimation-based carbon emissions and economic cost analysis for cyber–physical power systems under hybrid attacks

D Du, M Zhu, D Wu, X Li, M Fei, Y Hu, K Li - Applied Energy, 2024 - Elsevier
Sustainable cyber–physical power systems (CPPSs) significantly reduce carbon emissions
due to climate change. However, when the data exchange in CPPSs suffers from hybrid …

A defensive approach against pricing false data injection attacks based on incentive-based demand response and network reconfiguration

M Ghaedi, N Eslaminia, H Delkhosh… - 2022 12th Smart …, 2022 - ieeexplore.ieee.org
Nowadays, the possibility of cyber attacks is increased due to the vulnerability of two-way
communication pathways and the low security of smart meters. Hence, designing proper …

Enhancing Peak Shaving through Nonlinear Incentive‐Based Demand Response: A Consumer‐Centric Utility Optimization Approach

N Eslaminia, HR Mashhadi - International Transactions on …, 2023 - Wiley Online Library
This paper presents a comparative study on the implementation of incentive‐based demand
response programs in power grid management, comparing the results obtained from linear …

Guarding the Grid: Enhancing Resilience in Automated Residential Demand Response Against False Data Injection Attacks

T Dayaratne, C Rudolph, A Liebman… - arXiv preprint arXiv …, 2023 - arxiv.org
Utility companies are increasingly leveraging residential demand flexibility and the
proliferation of smart/IoT devices to enhance the effectiveness of residential demand …

Resilient Automated Distributed Device Scheduling in Smart Grids under False Data Injection Attacks

T Dayaratne, C Rudolph, M Salehi… - … for Smart Grids …, 2024 - ieeexplore.ieee.org
Utility companies are expected to leverage the flexibility in residential demand and the
penetration of smart/IoT devices to implement efficient and effective residential demand …

False data injection attacks on distributed demand response: I'm paying less: A targeted false data injection attack against distributed device scheduling

TT Dayaratne, C Rudolph, A Liebman… - … Frameworks for Future …, 2022 - Elsevier
Effective demand response (DR) schemes are expected to increase the efficiency of smart
grids with peak demand contraction while diminishing consumers' electricity expenses and …

[PDF][PDF] Research Article Enhancing Peak Shaving through Nonlinear Incentive-Based Demand Response: A Consumer-Centric Utility Optimization Approach

N Eslaminia, HR Mashhadi - 2023 - academia.edu
Tis paper presents a comparative study on the implementation of incentive• based demand
response programs in power grid management, comparing the results obtained from linear …

I'm paying less: A targeted false data injection attack against distributed device scheduling

TT Dayaratne, C Rudolph, A Liebman… - … Frameworks for Future …, 2022 - books.google.com
Nomenclature ah, i Ah adp dh, i esh, i H k lfh, i osh, i P p ith appliance of household h
Number of appliances in hth household Aggregated demand value of pth pricing slot …