Huy Kang Kim
Electrical and Electronic Engineering · 2000–2021
A researcher in the Science corpus: 7 papers; trusts 8 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 24 citations into it; #4,776 of 16,539 by trust here, #10,154 by citations
- Computer Networks and Communications — 20 citations into it; #5,498 of 9,886 by trust here, #6,498 by citations
- Signal Processing — 13 citations into it; #6,011 of 7,572 by trust here, #7,324 by citations
- Automotive Engineering — 5 citations into it; #1,672 of 3,081 by trust here, #2,499 by citations
Whom Huy Kang Kim trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Michael Müter
- Hyun Min Song
- Kyong-Tak Cho
- Naim Asaj
- Individualized Treat
- Ha Rang Kim
- Manoranjan Dash
Who trusts Huy Kang Kim overall
Papers from Huy Kang Kim's perspective
Ordered by how strongly the researchers Huy Kang Kim trusts endorse each paper. Same corpus, a different order for every researcher.
- GENERATIVE ADVERSARIAL NETS
- Security threats to automotive CAN networks - Practical examples and selected short-term countermeasures (Reliability Engineering & System Safety)
- Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery
- Entropy-based anomaly detection for in-vehicle networks (2011 IEEE Intelligent Vehicles Symposium (IV))
- UCI Repository of machine learning databases
- Optimal Brain Damage
- Comprehensive Experimental Analyses of Automotive Attack Surfaces (USENIX Security Symposium)
- Efficient GAN-Based Anomaly Detection (arXiv.org)
- Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series (arXiv.org)
- Neural networks for pattern recognition
Their papers
- Intrusion detection system based on the analysis of time intervals of CAN messages for in-vehicle network (2016) — 368 citations
- A hybrid approach of neural network and memory-based learning to data mining (2000) — 89 citations
- In-vehicle network intrusion detection using deep convolutional neural network (2020) — 602 citations
- GIDS: GAN based Intrusion Detection System for In-Vehicle Network (2018) — 435 citations
- Cybersecurity for autonomous vehicles: Review of attacks and defense (2021) — 351 citations
- OTIDS: A Novel Intrusion Detection System for In-vehicle Network by Using Remote Frame (2017) — 354 citations
- Analysis of Game Bot's Behavioral Characteristics in Social Interaction Networks of MMORPG (2015) — 16 citations