Search Results - "Boyaci, Osman"

Personalized quantification of facial normality: a machine learning approach by Boyaci, Osman, Serpedin, Erchin, Stotland, Mitchell A.

“…What is a normal face? A fundamental task for the facial reconstructive surgeon is to answer that question as it pertains to any given individual. Accordingly,…”
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Software-Defined Network-Based Proactive Routing Strategy in Smart Power Grids Using Graph Neural Network and Reinforcement Learning by Islam, Md Aminul, Ismail, Muhammad, Atat, Rachad, Boyaci, Osman, Shannigrahi, Susmit

“…•Following the Editor’s and Reviewer’s comments, we have modified the name of our proposed approach to “Software-Defined Network-Based Proactive Routing…”
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Toward a Universal Measure of Facial Difference Using Two Novel Machine Learning Models by Takiddin, Abdulrahman, Shaqfeh, Mohammad, Boyaci, Osman, Serpedin, Erchin, Stotland, Mitchell A

“…A sensitive, objective, and universally accepted method of measuring facial deformity does not currently exist. Two distinct machine learning methods are…”
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Joint Detection and Localization of Stealth False Data Injection Attacks in Smart Grids Using Graph Neural Networks by Boyaci, Osman, Narimani, Mohammad Rasoul, Davis, Katherine R., Ismail, Muhammad, Overbye, Thomas J., Serpedin, Erchin

“…False data injection attacks (FDIA) are a main category of cyber-attacks threatening the security of power systems. Contrary to the detection of these attacks,…”
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Graph Neural Networks Based Detection of Stealth False Data Injection Attacks in Smart Grids by Boyaci, Osman, Umunnakwe, Amarachi, Sahu, Abhijeet, Narimani, Mohammad Rasoul, Ismail, Muhammad, Davis, Katherine R., Serpedin, Erchin

“…False data injection attacks (FDIAs) represent a major class of attacks that aim to break the integrity of measurements by injecting false data into the smart…”
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Generalized Graph Neural Network-Based Detection of False Data Injection Attacks in Smart Grids by Takiddin, Abdulrahman, Atat, Rachad, Ismail, Muhammad, Boyaci, Osman, Davis, Katherine R., Serpedin, Erchin

“…False data injection attacks (FDIAs) pose a significant threat to smart power grids. Recent efforts have focused on developing machine learning (ML)-based…”
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A random number generation method based on discrete time chaotic maps by Boyaci, Osman, Tantug, Ahmet Cuneyd

“…In this paper a random number generation method based on a piecewise linear one dimensional (PL1D) discrete time chaotic maps is proposed for applications in…”
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Spatio-Temporal Failure Propagation in Cyber-Physical Power Systems by Boyaci, Osman, Narimani, M. Rasoul, Davis, Katherine, Serpedin, Erchin

“…Cascading failure in power systems is triggered by a small perturbation that leads to a sequence of failures spreading through the system. The interconnection…”
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Generating Connected, Simple, and Realistic Cyber Graphs for Smart Grids by Boyaci, Osman, Narimani, M. Rasoul, Davis, Katherine, Serpedin, Erchin

“…Smart grids integrate communication systems with power networks to enable power grids operation and command through real-time data collection and control…”
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Infinite Impulse Response Graph Neural Networks for Cyberattack Localization in Smart Grids by Boyaci, Osman, Narimani, M. Rasoul, Davis, Katherine, Serpedin, Erchin

“…This study employs Infinite Impulse Response (IIR) Graph Neural Networks (GNN) to efficiently model the inherent graph network structure of the smart grid data…”
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Cyberattack Detection in Large-Scale Smart Grids using Chebyshev Graph Convolutional Networks by Boyaci, Osman, Narimani, M. Rasoul, Davis, Katherine, Serpedin, Erchin

“…As a highly complex and integrated cyber-physical system, modern power grids are exposed to cyberattacks. False data injection attacks (FDIAs), specifically,…”
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Spatio-Temporal Failure Propagation in Cyber-Physical Power Systems by Boyaci, Osman, Narimani, M. Rasoul, Davis, Katherine, Serpedin, Erchin

“…Cascading failure in power systems is triggered by a small perturbation that leads to a sequence of failures spread through the system. The interconnection…”
Get full text

Generating Connected, Simple, and Realistic Cyber Graphs for Smart Grids by Boyaci, Osman, Narimani, M. Rasoul, Davis, Katherine, Serpedin, Erchin

“…Smart grids integrate communication systems with power networks to enable power grids operation and command through real-time data collection and control…”
Get full text

Gauging Facial Abnormality Using Haar-Cascade Object Detector by Takiddin, Abdulrahman, Shaqfeh, Mohammad, Boyaci, Osman, Serpedin, Erchin, Stotland, Mitchell

“…The overriding clinical and academic challenge that inspires this work is the lack of a universally accepted, objective, and feasible method of measuring…”
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Cyberattack Detection in Large-Scale Smart Grids using Chebyshev Graph Convolutional Networks by Boyaci, Osman, Narimani, Mohammad Rasoul, Davis, Katherine, Serpedin, Erchin

“…As a highly complex and integrated cyber-physical system, modern power grids are exposed to cyberattacks. False data injection attacks (FDIAs), specifically,…”
Get full text

Graph Neural Network Based Prediction of Data Traffic in Cyber-Physical Smart Power Grids by Islam, Md Aminul, Ismail, Muhammad, Boyaci, Osman, Atat, Rachad, Shannigrahi, Susmit

“…Smart power grids rely on tight integration of physical and cyber layers. Event-driven (ED) data packets are generated in the cyber layer in response to…”
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Graph Neural Networks Based Detection of Stealth False Data Injection Attacks in Smart Grids by Boyaci, Osman, Umunnakwe, Amarachi, Sahu, Abhijeet, Narimani, Mohammad Rasoul, Ismail, Muhammad, Davis, Katherine, Serpedin, Erchin

“…False data injection attacks (FDIAs) represent a major class of attacks that aim to break the integrity of measurements by injecting false data into the smart…”
Get full text

Joint Detection and Localization of Stealth False Data Injection Attacks in Smart Grids using Graph Neural Networks by Boyaci, Osman, Narimani, Mohammad Rasoul, Davis, Katherine, Ismail, Muhammad, Overbye, Thomas J, Serpedin, Erchin

“…False data injection attacks (FDIA) are a main category of cyber-attacks threatening the security of power systems. Contrary to the detection of these attacks,…”
Get full text