activity
20192022
most citedAutomobile Theft Detection by Clustering Owner Driver Data

7 citations · 14 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2022

Deep Dense Local Feature Matching and Vehicle Removal for Indoor Visual Localization

Kyung Ho Park

Visual localization is an essential component of intelligent transportation systems, enabling broad applications that require understanding one's self location when other sensors a…

cs.LG2021

Unsupervised Driver Behavior Profiling leveraging Recurrent Neural Networks

Young Ah Choi, Kyung Ho Park, Eunji Park +1

In the era of intelligent transportation, driver behavior profiling has become a beneficial technology as it provides knowledge regarding the driver's aggressiveness. Previous appr…

cs.CR2020

Unsupervised Intrusion Detection System for Unmanned Aerial Vehicle with Less Labeling Effort

Kyung Ho Park, Eunji Park, Huy Kang Kim

Along with the importance of safety, an IDS has become a significant task in the real world. Prior studies proposed various intrusion detection models for the UAV. Past rule-based…

cs.CR2019★ 7 cited

This Car is Mine!: Automobile Theft Countermeasure Leveraging Driver Identification with Generative Adversarial Networks

Kyung Ho Park, Huy Kang Kim

As a car becomes more connected, a countermeasure against automobile theft has become a significant task in the real world. To respond to automobile theft, data mining, biometrics,…

cs.LG2019★ 7 cited

Automobile Theft Detection by Clustering Owner Driver Data

Yong Goo Kang, Kyung Ho Park, Huy Kang Kim

As automobiles become intelligent, automobile theft methods are evolving intelligently. Therefore automobile theft detection has become a major research challenge. Data-mining, bio…

cs.CR2019

Show Me Your Account: Detecting MMORPG Game Bot Leveraging Financial Analysis with LSTM

Kyung Ho Park, Eunjo Lee, Huy Kang Kim

With the rapid growth of MMORPG market, game bot detection has become an essential task for maintaining stable in-game ecosystem. To classify bots from normal users, detection meth…