조해현 프로필 사진

조해현

CHO, HAEHYUN
Google Scholar

연구분야

  • Information Security, 
  • Network Security, 
  • Systems Security, 
  • 네트워크보안, 
  • 시스템보안, 
  • 정보보호

자료 필터

자료유형

발행연도

2015 ~ 2026
2015 2026

키워드

언어

전체 35건 중 21번부터 30번까지의 결과를 표시합니다.

2023
Article

Augmenting Android Malware Using Conditional Variational Autoencoder for the Malware Family Classification

  • 2023-02
  • Computer Systems Science and Engineering
  • Tech Science Press
2022
Article

Hiding Data in the Padding Area of Android Applications without Re-Packaging

  • 2022-11
  • IEICE Transactions on Information and Systems
  • Institute of Electronics Information Communication Engineers
Article

Data Covert Channels between the Secure World and the Normal World in the ARM TrustZone Architecture

  • 2022-11
  • IEICE Transactions on Information and Systems
  • Institute of Electronics Information Communication Engineers
Article

MAPAS: a practical deep learning-based android malware detection system

  • 2022-08
  • International Journal of Information Security
  • SPRINGER
Article

Large-Scale Analysis on Anti-Analysis Techniques in Real-World Malware

  • 2022-07
  • IEEE Access
  • IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Article

LiDAR: A Light-Weight Deep Learning-Based Malware Classifier for Edge Devices

  • Kim, Jinsung ; 
  • Ban, Younghoon ; 
  • Jeon, Geochang ; 
  • Kim, Young Geun ; 
  • Cho, Haehyun
  • 2022-06
  • Wireless Communications and Mobile Computing
  • WILEY-HINDAWI
Article

Deobfuscating Mobile Malware for Identifying Concealed Behaviors

  • Lee, Dongho ; 
  • Jeon, Geochang ; 
  • Lee, Sunjun ; 
  • Cho, Haehyun
  • 2022-04
  • Computers, Materials and Continua
  • TECH SCIENCE PRESS
Article

CrawlPhish: Large-Scale Analysis of Client-Side Cloaking Techniques in Phishing

  • Zhang, Penghui ; 
  • Oest, Adam ; 
  • Cho, Haehyun ; 
  • Sun, Zhibo ; 
  • Johnson, R. C. ; 
  • 외 8명
  • 2022-03
  • IEEE Security and Privacy
  • IEEE COMPUTER SOC
Article

FAM: Featuring Android Malware for Deep Learning-Based Familial Analysis

  • 2022-02
  • IEEE Access
  • IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
2021
Article

ACAMA: Deep Learning-Based Detection and Classification of Android Malware Using API-Based Features

  • 2021-12-29
  • Security and Communication Networks
  • WILEY-HINDAWI