Subhash Lakshminarayana | DeepAI

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∙ 07/17/2023

Uncovering Load-Altering Attacks Against N-1 Secure Power Grids: A Rare-Event Sampling Approach

Load-altering attacks targetting a large number of IoT-based high-wattag...

0 Maldon Patrice Goodridge, et al. ∙

∙ 06/10/2023

Analysis of Cascading Failures Due to Dynamic Load-Altering Attacks

Large-scale load-altering attacks (LAAs) are known to severely disrupt p...

0 Maldon Patrice Goodridge, et al. ∙

∙ 09/06/2022

Localizing Load-Altering Attacks Against Power Grids Using Deep Capsule Nets

Recent research has shown that the security of power grids can be seriou...

0 Hamidreza Jahangir, et al. ∙

∙ 01/25/2022

Load-Altering Attacks under COVID-19 Low-Inertia Conditions

The COVID-19 pandemic has impacted our society by forcing shutdowns and ...

0 Subhash Lakshminarayana, et al. ∙

∙ 11/09/2021

Reinforcement Learning for Security-Aware Computation Offloading in Satellite Networks

The rise of NewSpace provides a platform for small and medium businesses...

0 Saurav Sthapit, et al. ∙

∙ 10/21/2021

Attack Detection and Localization in Smart Grid with Image-based Deep Learning

Smart grid's objective is to enable electricity and information to flow ...

0 Mostafa Mohammadpourfard, et al. ∙

∙ 10/01/2021

Data-Driven Detection and Identification of IoT-Enabled Load-Altering Attacks in Power Grids

Advances in edge computing are powering the development and deployment o...

0 Subhash Lakshminarayana, et al. ∙

∙ 12/21/2020

A Meta-Learning Approach to the Optimal Power Flow Problem Under Topology Reconfigurations

Recently, there has been a surge of interest in adopting deep neural net...

0 Yexiang Chen, et al. ∙

∙ 09/28/2020

Analysis of IoT-Based Load Altering Attacks Against Power Grids Using the Theory of Second-Order Dynamical Systems

Recent research has shown that large-scale Internet of Things (IoT)-base...

0 Subhash Lakshminarayana, et al. ∙

∙ 06/13/2020

Moving-Target Defense Against Cyber-Physical Attacks in Power Grids via Game Theory

This work proposes a moving target defense (MTD) strategy to detect coor...

0 Subhash Lakshminarayana, et al. ∙

∙ 02/06/2020

Data-Driven False Data Injection Attacks Against Power Grid: A Random Matrix Approach

We address the problem of constructing false data injection (FDI) attack...

0 Subhash Lakshminarayana, et al. ∙

∙ 08/06/2019

Moving-Target Defense for Detecting Coordinated Cyber-Physical Attacks in Power Grids

This work proposes a moving target defense (MTD) strategy to detect coor...

0 Subhash Lakshminarayana, et al. ∙

∙ 04/20/2019

Performance and Resilience of Cyber-Physical Control Systems with Reactive Attack Mitigation

This paper studies the performance and resilience of a linear cyber-phys...

0 Subhash Lakshminarayana, et al. ∙

∙ 08/06/2018

Signal Jamming Attacks Against Communication-Based Train Control: Attack Impact and Countermeasure

We study the impact of signal jamming attacks against the communication ...

0 Subhash Lakshminarayana, et al. ∙

∙ 04/04/2018

Cost-Benefit Analysis of Moving-Target Defense in Power Grids

We study moving-target defense (MTD) that actively perturbs transmission...

0 Subhash Lakshminarayana, et al. ∙

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