114 citations · 229 across the 38 of their papers we have counts for
41 papers
Technical Report on Resilient and Secure Large-Scale Energy Internet Systems
Ioannis Zografopoulos, Karen Largman, Isaac Ortega Romero +11
This IEEE PES Task Force report examines the security and resilience of large-scale Energy Internet (EI) systems, in which electricity, information, and market layers are tightly c…
Load-Altering Attacks Against Power Grids: A Case Study Using the GB-36 Bus System Open Dataset
Syed Irtiza Maksud, Subhash Lakshminarayana
The growing digitalization and the rapid adoption of high-powered Internet-of-Things (IoT)-enabled devices (e.g., EV charging stations) have increased the vulnerability of power gr…
VAE-GAN Based Price Manipulation in Coordinated Local Energy Markets
Biswarup Mukherjee, Li Zhou, S. Gokul Krishnan +3
This paper introduces a model for coordinating prosumers with heterogeneous distributed energy resources (DERs), participating in the local energy market (LEM) that interacts with…
Cybersecurity Issues in Local Energy Markets
Al Hussein Dabashi, Sajjad Maleki, Biswarup Mukherjee +4
Local Energy Markets (LEMs), though pivotal to the energy transition, face growing cybersecurity threats due to their reliance on smart grid communication standards and vulnerable…
A Distributed Local Energy Market Clearing Framework Using a Two-Loop ADMM Method
Milad Kabirifar, Biswarup Mukherjee, S. Gokul Krishnan +2
The diversity of prosumers' resources in energy communities can provide significant technical and economic benefits to both prosumers and the distribution system operator (DSO). To…
Moving Target Defense Against Adversarial False Data Injection Attacks In Power Grids
Yexiang Chen, Subhash Lakshminarayana, H. Vincent Poor
Machine learning (ML)-based detectors have been shown to be effective in detecting stealthy false data injection attacks (FDIAs) that can bypass conventional bad data detectors (BD…
A Cyber Insurance Policy for Hedging Against Load-Altering Attacks and Extreme Load Variations in Distribution Grids
Shijie Pan, Zaint A. Alexakis, S Subhash Lakshminarayana +1
Uncertainties in renewable energy resources (RES) and load variations can lead to elevated system operational costs. Moreover, the emergence of large-scale distributed threats, suc…
Survey of Load-Altering Attacks Against Power Grids: Attack Impact, Detection and Mitigation
Sajjad Maleki, Shijie Pan, Subhash Lakshminarayana +1
The growing penetration of IoT devices in power grids despite its benefits, raises cybersecurity concerns. In particular, load-altering attacks (LAAs) targeting high-wattage IoT-co…
Survey of Moving Target Defense in Power Grids: Design Principles, Tradeoffs, and Future Directions
Subhash Lakshminarayana, Yexiang Chen, Charalambos Konstantinou +2
Moving target defense (MTD) in power grids is an emerging defense technique that has gained prominence in the recent past. It aims to solve the long-standing problem of securing th…
Distribution System Reconfiguration to Mitigate Load Altering Attacks via Stackelberg Games
Sajjad Maleki, E. Veronica Belmaga, Charalambos Konstantinou +1
The widespread integration of IoT-controllable devices (e.g., smart EV charging stations and heat pumps) into modern power systems enhances capabilities but introduces critical cyb…
A Game-Theoretic Approach for PMU Deployment Against False Data Injection Attacks
Sajjad Maleki, Subhash Lakshminarayana, E. Veronica Belmega +1
Phasor Measurement Units (PMUs) are used in the measurement, control and protection of power grids. However, deploying PMUs at every bus in a power system is prohibitively expensiv…
Cybersecurity for Modern Smart Grid against Emerging Threats
Daisuke Mashima, Yao Chen, Muhammad M. Roomi +2
Smart Grid is a power grid system that uses digital communication technologies. By deploying intelligent devices throughout the power grid infrastructure,from power generation to c…
The Impact of Load Altering Attacks on Distribution Systems with ZIP Loads
Sajjad Maleki, Shijie Pan, E. Veronica Belmega +2
Load-altering attacks (LAAs) pose a significant threat to power systems with Internet of Things (IoT)-controllable load devices. This research examines the detrimental impact of LA…
Charge Manipulation Attacks Against Smart Electric Vehicle Charging Stations and Deep Learning-based Detection Mechanisms
Hamidreza Jahangir, Subhash Lakshminarayana, H. Vincent Poor
The widespread deployment of "smart" electric vehicle charging stations (EVCSs) will be a key step toward achieving green transportation. The connectivity features of smart EVCSs c…
Cybersecurity Threats to Power Grid Operations from the Demand-Side Response Ecosystem
Subhash Lakshminarayana, Carsten Maple, Andrew Larkins +4
This article focuses on cyber security threats from IoT-enabled energy smart appliances (ESAs) such as smart heat pumps, electric vehicle chargers, etc., to power grid operations.…
Communication Reduction for Power Systems: An Observer-Based Event-Triggered Approach
Gabriel E. Mejia-Ruiz, Yazdan Batmani, Subhash Lakshminarayana +2
The management of distributed and heterogeneous modern power networks necessitates the deployment of communication links, often characterized by limited bandwidth. This paper prese…
Optimal Placement and Power Supply of Distributed Generation to Minimize Power Losses
Shijie Pan, Sajjad Maleki, Subhash Lakshminarayana +1
An increasing number of renewable energy-based distribution generation (DG) units are being deployed in electric distribution systems. Therefore, it is of paramount importance to o…
Uncovering Load-Altering Attacks Against N-1 Secure Power Grids: A Rare-Event Sampling Approach
Maldon Patrice Goodridge, Subhash Lakshminarayana, Alessandro Zocca
Load-altering attacks targetting a large number of IoT-based high-wattage devices (e.g., smart electric vehicle charging stations) can lead to serious disruptions of power grid ope…
Analysis of Cascading Failures Due to Dynamic Load-Altering Attacks
Maldon Patrice Goodridge, Alessandro Zocca, Subhash Lakshminarayana
Large-scale load-altering attacks (LAAs) are known to severely disrupt power grid operations by manipulating several internet-of-things (IoT)-enabled load devices. In this work, we…
Localizing Load-Altering Attacks Against Power Grids Using Deep Capsule Nets
Hamidreza Jahangir, Subhash Lakshminarayana, Carsten Maple
Recent research has shown that the security of power grids can be seriously threatened by botnet-type cyber attacks that target a large number of high-wattage smart electrical appl…
Localization of Coordinated Cyber-Physical Attacks in Power Grids Using Moving Target Defense and Deep Learning
Yexiang Chen, Subhash Lakshminarayana, Fei Teng
As one of the most sophisticated attacks against power grids, coordinated cyber-physical attacks (CCPAs) damage the power grid's physical infrastructure and use a simultaneous cybe…
Mitigating Load-Altering Attacks Against Power Grids Using Cyber-Resilient Economic Dispatch
Zhongda Chu, Subhash Lakshminarayana, Balarko Chaudhuri +1
Large-scale Load-Altering Attacks (LAAs) against Internet-of-Things (IoT) enabled high-wattage electrical appliances (e.g., wifi-enabled air-conditioners, electric vehicles, etc.)…
Analysis of Load-Altering Attacks Against Power Grids: A Rare-Event Sampling Approach
Maldon Patrice Goodridge, Subhash Lakshminarayana, Christopher Few
By manipulating tens of thousands of internet-of-things (IoT) enabled high-wattage electrical appliances (e.g., WiFi-controlled air-conditioners), large-scale load-altering attacks…
Load-Altering Attacks Against Power Grids under COVID-19 Low-Inertia Conditions
Subhash Lakshminarayana, Juan Ospina, Charalambos Konstantinou
The COVID-19 pandemic has impacted our society by forcing shutdowns and shifting the way people interacted worldwide. In relation to the impacts on the electric grid, it created a…