Yavuz, LeventSoran, AhmetOnen, AhmetMuyeen, S. M.2025-09-252025-09-2520209781728166117https://doi.org/10.1109/SPIES48661.2020.9243033https://hdl.handle.net/20.500.12573/4150Power system protection units has got enormous importance with the growing risk of cyber-attacks. To create sustainable and well protected system, power system data must be healthy. For that purpose, many machine learning applications have been developed and used for bad data detection. However, each method has got different detection and application process. Methods has superiority over other methods. Although, an algorithm can detect some injections easily, same algorithm can be fail when injection type changed. So methods have got different success results when the injection types changed. For that reason, different injection types are applied on power system IEEE 14 bus system via created special hacking algorithm. PSCAD and python linkage has been used for simulation and detection parts. 3 different injection types created and applied on the system and five different most popular algorithms (SVM, k- NN, LDA, NB, LR) tested. Each algorithm's performances are compared and evaluated. © 2020 Elsevier B.V., All rights reserved.eninfo:eu-repo/semantics/closedAccessBad Data DetectionHacking AlgorithmKnnLdaLrNbSvmComputer SoftwareElectric Power System ProtectionMachine LearningNearest Neighbor SearchNetwork SecurityPersonal ComputingAlgorithm's PerformanceApplication ProcessBad Data DetectionsCyber-AttacksIeee 14 Bus SystemInjection TypeMachine Learning ApplicationsPower System ProtectionLearning AlgorithmsConference Object10.1109/SPIES48661.2020.92430332-s2.0-85096891694