530 citations · 855 across the 26 of their papers we have counts for
28 papers
Name2Pkg: Lightweight One-Class Android Malware Screening via Name-Package Correspondence Modeling
Changyeop Sung, Yeonjae Kang, Jaeho Shin +1
Deep learning-based malware detection has been widely adopted in security-critical services. Most detection methods rely on internal features extracted from APK files or runtime be…
X-CANIDS: Signal-Aware Explainable Intrusion Detection System for Controller Area Network-Based In-Vehicle Network
Seonghoon Jeong, Sangho Lee, Hwejae Lee +1
Controller Area Network (CAN) is an essential networking protocol that connects multiple electronic control units (ECUs) in a vehicle. However, CAN-based in-vehicle networks (IVNs)…
Action2Score: An Embedding Approach To Score Player Action
Junho Jang, Ji Young Woo, Huy Kang Kim
Multiplayer Online Battle Arena (MOBA) is one of the most successful game genres. MOBA games such as League of Legends have competitive environments where players race for their ra…
Liuer Mihou: A Practical Framework for Generating and Evaluating Grey-box Adversarial Attacks against NIDS
Ke He, Dan Dongseong Kim, Jing Sun +3
Due to its high expressiveness and speed, Deep Learning (DL) has become an increasingly popular choice as the detection algorithm for Network-based Intrusion Detection Systems (NID…
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…
Convolutional Neural Network-based Intrusion Detection System for AVTP Streams in Automotive Ethernet-based Networks
Seonghoon Jeong, Boosun Jeon, Boheung Chung +1
Connected and autonomous vehicles (CAVs) are an innovative form of traditional vehicles. Automotive Ethernet replaces the controller area network and FlexRay to support the large t…