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ORCIDDaeHun Nyang
- > Home > Persons > DaeHun Nyang
Publications
- 2023
[c68]Soohyeon Choi, Rhongho Jang, DaeHun Nyang, David Mohaisen:
Untargeted Code Authorship Evasion with Seq2Seq Transformation. CSoNet 2023: 83-92- [c67]Mohammed Alkinoon
, Abdulrahman Alabduljabbar, Hattan Althebeiti, Rhongho Jang, DaeHun Nyang, David Mohaisen:
Understanding the Security and Performance of the Web Presence of Hospitals: A Measurement Study. ICCCN 2023: 1-10 - [c65]Sian Kim, Changhun Jung, RhongHo Jang, David Mohaisen, DaeHun Nyang:
A Robust Counting Sketch for Data Plane Intrusion Detection. NDSS 2023 - [i29]Mohammed Alkinoon, Abdulrahman Alabduljabbar, Hattan Althebeiti, Rhongho Jang, DaeHun Nyang, David Mohaisen:
Understanding the Security and Performance of the Web Presence of Hospitals: A Measurement Study. CoRR abs/2304.13278 (2023) - [i28]Abdulrahman Alabduljabbar, Runyu Ma, Ahmed Abusnaina, Rhongho Jang, Songqing Chen, DaeHun Nyang, David Mohaisen:
Measuring and Modeling the Free Content Web. CoRR abs/2304.14359 (2023) - [i27]Soohyeon Choi, Rhongho Jang, DaeHun Nyang, David Mohaisen:
Untargeted Code Authorship Evasion with Seq2Seq Transformation. CoRR abs/2311.15366 (2023) - 2022
- [j52]Jumabek Alikhanov, Rhongho Jang, Mohammed Abuhamad, David Mohaisen, Daehun Nyang, Youngtae Noh:
Investigating the Effect of Traffic Sampling on Machine Learning-Based Network Intrusion Detection Approaches. IEEE Access 10: 5801-5823 (2022) - [j46]Ahmed Abusnaina, Mohammed Abuhamad, Hisham Alasmary, Afsah Anwar, Rhongho Jang, Saeed Salem, DaeHun Nyang, David Mohaisen:
DL-FHMC: Deep Learning-Based Fine-Grained Hierarchical Learning Approach for Robust Malware Classification. IEEE Trans. Dependable Secur. Comput. 19(5): 3432-3447 (2022) - [j45]Rhongho Jang, Changhun Jung, David Mohaisen, KyungHee Lee, DaeHun Nyang:
A One-Page Text Entry Method Optimized for Rectangle Smartwatches. IEEE Trans. Mob. Comput. 21(10): 3443-3454 (2022) - [c63]Changhun Jung, Sian Kim, Rhongho Jang, David Mohaisen, DaeHun Nyang:
A Scalable and Dynamic ACL System for In-Network Defense. CCS 2022: 1679-1693 - [c60]Dinhnguyen Dao, Rhongho Jang, Changhun Jung, David Mohaisen, DaeHun Nyang:
Minimizing Noise in HyperLogLog-Based Spread Estimation of Multiple Flows. DSN 2022: 331-342 - [c59]Ahmed Abusnaina, Afsah Anwar, Sultan Alshamrani, Abdulrahman Alabduljabbar, RhongHo Jang, DaeHun Nyang, David Mohaisen:
Systematically Evaluating the Robustness of ML-based IoT Malware Detection Systems. RAID 2022: 308-320 - 2021
- [j44]Changhun Jung, Jinchun Choi, Rhongho Jang, David Mohaisen, DaeHun Nyang:
A network-independent tool-based usable authentication system for Internet of Things devices. Comput. Secur. 108: 102338 (2021) - [c58]Ahmed Abusnaina, Afsah Anwar, Sultan Alshamrani, Abdulrahman Alabduljabbar, Rhongho Jang, DaeHun Nyang, David Mohaisen:
Systemically Evaluating the Robustness of ML-based IoT Malware Detectors. DSN (Supplements) 2021: 3-4 - [i20]Ahmed Abusnaina, Afsah Anwar, Sultan Alshamrani, Abdulrahman Alabduljabbar, RhongHo Jang, Daehun Nyang, David Mohaisen:
ML-based IoT Malware Detection Under Adversarial Settings: A Systematic Evaluation. CoRR abs/2108.13373 (2021) - [i19]Sunyoung Kim, Changhun Jung, RhongHo Jang, David Mohaisen, DaeHun Nyang:
Count-Less: A Counting Sketch for the Data Plane of High Speed Switches. CoRR abs/2111.02759 (2021) - 2020
- [j29]Rhongho Jang, Jeonil Kang, Aziz Mohaisen, DaeHun Nyang:
Catch Me If You Can: Rogue Access Point Detection Using Intentional Channel Interference. IEEE Trans. Mob. Comput. 19(5): 1056-1071 (2020) - [c54]Hisham Alasmary, Ahmed Abusnaina, Rhongho Jang, Mohammed Abuhamad, Afsah Anwar, DaeHun Nyang, David Mohaisen:
Soteria: Detecting Adversarial Examples in Control Flow Graph-based Malware Classifiers. ICDCS 2020: 888-898 - [c53]Rhongho Jang, DaeHong Min, Seongkwang Moon, David Mohaisen, DaeHun Nyang:
SketchFlow: Per-Flow Systematic Sampling Using Sketch Saturation Event. INFOCOM 2020: 1339-1348 - [c52]Ahmed Abusnaina, Rhongho Jang, Aminollah Khormali, DaeHun Nyang, David Mohaisen:
DFD: Adversarial Learning-based Approach to Defend Against Website Fingerprinting. INFOCOM 2020: 2459-2468 - [i16]Ahmed Abusnaina, Mohammed Abuhamad, Hisham Alasmary, Afsah Anwar, Rhongho Jang, Saeed Salem, DaeHun Nyang, David Mohaisen:
A Deep Learning-based Fine-grained Hierarchical Learning Approach for Robust Malware Classification. CoRR abs/2005.07145 (2020) - 2019
- [c43]Rhongho Jang, Seongkwang Moon, Youngtae Noh, Aziz Mohaisen, DaeHun Nyang:
InstaMeasure: Instant Per-flow Detection Using Large In-DRAM Working Set of Active Flows. ICDCS 2019: 2047-2056 - [c41]Rhongho Jang, Seongkwang Moon, Youngtae Noh, Aziz Mohaisen, DaeHun Nyang:
A cost-effective anomaly detection system using in-DRAM working set of active flows table: poster. WiSec 2019: 286-287 - [i11]RhongHo Jang, Seongkwang Moon, Youngtae Noh, Aziz Mohaisen, DaeHun Nyang:
Scaling Up Anomaly Detection Using In-DRAM Working Set of Active Flows Table. CoRR abs/1902.04143 (2019) - 2017
- [c32]RhongHo Jang, Jeonil Kang, Aziz Mohaisen, DaeHun Nyang:
Rogue Access Point Detector Using Characteristics of Channel Overlapping in 802.11n. ICDCS 2017: 2515-2520 - [c31]RhongHo Jang, DongGyu Cho, Youngtae Noh, DaeHun Nyang:
RFlow+: An SDN-based WLAN monitoring and management framework. INFOCOM 2017: 1-9 - [c28]RhongHo Jang, Jeonil Kang, Aziz Mohaisen, DaeHun Nyang:
Highly-accurate rogue access point detection using intentional channel interference: poster. WISEC 2017: 277-278 - [c27]RhongHo Jang, DongGyu Cho, Aziz Mohaisen, Youngtae Noh, DaeHun Nyang:
Two-level network monitoring and management in WLAN using software-defined networking: poster. WISEC 2017: 279-280
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