Profils utilisateurs correspondant à "Mee Lan Han"

Mee Lan Han

Assistant Professor, Dept. of AI Cyber Security, Korea University (Sejong)
Adresse e-mail validée de korea.ac.kr
Cité 476 fois

Anomaly intrusion detection method for vehicular networks based on survival analysis

ML Han, BI Kwak, HK Kim - Vehicular communications, 2018 - Elsevier
In recent years, alongside with the convergence of In-vehicle network (IVN) and wireless
communication technology, vehicle communication technology has been steadily progressing. …

Cheating and detection method in massively multiplayer online role-playing game: systematic literature review

ML Han, BI Kwak, HK Kim - IEEE Access, 2022 - ieeexplore.ieee.org
Recently, despite massively multiplayer online role-playing game (MMORPG) based on the
PC implementation environment in mobile games, related fraudulent and illegal activities are …

Event-triggered interval-based anomaly detection and attack identification methods for an in-vehicle network

ML Han, BI Kwak, HK Kim - IEEE Transactions on Information …, 2021 - ieeexplore.ieee.org
Vehicle communication technology has been steadily progressing alongside the
convergence of the in-vehicle network (IVN) and wireless communication technology. The …

TOW-IDS: intrusion detection system based on three overlapped wavelets for automotive ethernet

ML Han, BI Kwak, HK Kim - IEEE Transactions on Information …, 2022 - ieeexplore.ieee.org
Devices that ensure vehicle and driver safety or provide services to drivers generate a
substantial amount of network traffic. The traffic is transmitted to the In-Vehicle Network (IVN) …

Driver identification based on wavelet transform using driving patterns

BI Kwak, ML Han, HK Kim - IEEE Transactions on Industrial …, 2020 - ieeexplore.ieee.org
The modern automotive system, based on the convergence of information and
communication technologies, is equipped with various functions to ensure vehicle safety and …

Cosine similarity based anomaly detection methodology for the CAN bus

BI Kwak, ML Han, HK Kim - Expert Systems with Applications, 2021 - Elsevier
In recent years, vehicular technology has rapidly evolved in terms of the driver’s convenience
and safety, along with the convergence of vehicle communication and the expansion of …

A statistical-based anomaly detection method for connected cars in internet of things environment

ML Han, J Lee, AR Kang, S Kang, JK Park… - Internet of Vehicles-Safe …, 2015 - Springer
A connected car is the most successful thing in the era of Internet of Things (IoT). The
connections between vehicles and networks grow and provide more convenience to users. …

AERO: Automotive ethernet real-time observer for anomaly detection in in-vehicle networks

S Jeong, HK Kim, ML Han… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Mee Lan Han received the BS degree in computer and science from Dongduk Women’s
University, Seoul, Republic of Korea, in 2002, and the MS and Ph.D. degrees in information se…

Intrusion detection and identification using tree-based machine learning algorithms on DCS network in the oil refinery

KH Kim, BI Kwak, ML Han… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Mee Lan Han received the BS degree in computer and science from Dongduk Women’s
University, Seoul, South Korea, in 2002, the MS and Ph.D. degrees in information security from …

CBR‐Based Decision Support Methodology for Cybercrime Investigation: Focused on the Data‐Driven Website Defacement Analysis

ML Han, BI Kwak, HK Kim - Security and Communication …, 2019 - Wiley Online Library
Criminal profiling is a useful technique to identify the most plausible suspects based on the
evidence discovered at the crime scene. Similar to offline criminal profiling, in‐depth profiling …