Jin-Hee Cho

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 153

Top Venues

CoRR

IEEE Trans. Netw. Serv. Manag.

MILCOM

IEEE Access

Virginia Tech, Blacksburg, VA, USA (PHD)

Education History

Virginia Tech, Blacksburg, VA, USA

PHD

Publications

Dian Chen, Paul Yang, Ing-Ray Chen, Dong Sam Ha, Jin-Hee Cho
SusFL: Energy-Aware Federated Learning-based Monitoring for Sustainable Smart Farms. CoRR (2024)
Xujiang Zhao, Chen Zhao, Feng Chen, Jin-Hee Cho, Wei Hua, Haifeng Chen
3rd Workshop on Uncertainty Reasoning and Quantification in Decision Making (UDM). KDD (2024)
Changbin Li, Kangshuo Li, Yuzhe Ou, Lance M. Kaplan, Audun Jøsang, Jin-Hee Cho, Dong Hyun Jeong, Feng Chen
Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty. CoRR (2024)
Qi Zhang, Lance M. Kaplan, Audun Jøsang, Dong Hyun Jeong, Feng Chen, Jin-Hee Cho
Winning the Social Media Influence Battle: Uncertainty-Aware Opinions to Understand and Spread True Information via Competitive Influence Maximization. CoRR (2024)
Zelin Wan, Jin-Hee Cho, Mu Zhu, Ahmed H. Anwar, Charles A. Kamhoua, Munindar P. Singh
Decision Theory-Guided Deep Reinforcement Learning for Fast Learning. CoRR (2024)
Xinyi Zhang, Pamela J. Wisniewski, Jin-Hee Cho, Lifu Huang, Sang Won Lee
Generating A Crowdsourced Conversation Dataset to Combat Cybergrooming. CoRR (2024)
Zhen Guo, Zelin Wan, Qisheng Zhang, Xujiang Zhao, Qi Zhang, Lance M. Kaplan, Audun Jøsang, Dong Hyun Jeong, Feng Chen, Jin-Hee Cho
A survey on uncertainty reasoning and quantification in belief theory and its application to deep learning. Inf. Fusion 101 (2024)
Dian Chen, Ing-Ray Chen, Dong Sam Ha, Jin-Hee Cho
eMTD: Energy-Aware Moving Target Defense for Sustainable Solar-powered Sensor-based Smart Farms. NOMS (2024)
Changbin Li, Kangshuo Li, Yuzhe Ou, Lance M. Kaplan, Audun Jøsang, Jin-Hee Cho, Dong Hyun Jeong, Feng Chen
Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty. ICLR (2024)
Han Jun Yoon, Ashrith Reddy Thukkaraju, Shou Matsumoto, Jair Feldens Ferrari, Donghwan Lee, Myung Kil Ahn, Paulo C. G. Costa, Jin-Hee Cho
iMIA: Interdependent Mission Impact Assessment Using Subjective Bayesian Networks. NOMS (2024)
Haider Ali, Dian Chen, Matthew Harrington, Nathaniel Salazar, Mohannad Al Ameedi, Ahmad Faraz Khan, Ali Raza Butt, Jin-Hee Cho
A Survey on Attacks and Their Countermeasures in Deep Learning: Applications in Deep Neural Networks, Federated, Transfer, and Deep Reinforcement Learning. IEEE Access 11 (2023)
Dong Hyun Jeong, Jin-Hee Cho, Feng Chen, Lance M. Kaplan, Audun Jøsang, Soo-Yeon Ji
Interactive Web-Based Visual Analysis on Network Traffic Data. Inf. 14 (1) (2023)
Zhen Guo, Qi Zhang, Xinwei An, Qisheng Zhang, Audun Jøsang, Lance M. Kaplan, Feng Chen, Dong Hyun Jeong, Jin-Hee Cho
Uncertainty-Aware Reward-based Deep Reinforcement Learning for Intent Analysis of Social Media Information. CoRR (2023)
Zhen Guo, Pei Wang, Lifu Huang, Jin-Hee Cho
Authentic Dialogue Generation to Improve Youth's Awareness of Cybergrooming for Online Safety. ICTAI (2023)
Nitasha Sahani, Ruoxi Zhu, Jin-Hee Cho, Chen-Ching Liu
Machine Learning-based Intrusion Detection for Smart Grid Computing: A Survey. ACM Trans. Cyber Phys. Syst. 7 (2) (2023)
Zelin Wan, Jin-Hee Cho, Mu Zhu, Ahmed H. Anwar, Charles A. Kamhoua, Munindar P. Singh
Deception in Drone Surveillance Missions: Strategic vs. Learning Approaches. MobiHoc (2023)
Zhen Guo, Qi Zhang, Qisheng Zhang, Lance M. Kaplan, Audun Jøsang, Feng Chen, Dong Hyun Jeong, Jin-Hee Cho
Detecting Intents of Fake News Using Uncertainty-Aware Deep Reinforcement Learning. ICWS (2023)
Jaber Valinejad, Zhen Guo, Jin-Hee Cho, Ing-Ray Chen
Social media-based social-psychological community resilience analysis of five countries on COVID-19. J. Comput. Soc. Sci. 6 (2) (2023)
Xujiang Zhao, Chen Zhao, Feng Chen, Jin-Hee Cho, Haifeng Chen
2nd Workshop on Uncertainty Reasoning and Quantification in Decision Making. KDD (2023)
Zhen Guo, Jin-Hee Cho, Chang-Tien Lu
Mitigating Influence of Disinformation Propagation Using Uncertainty-Based Opinion Interactions. IEEE Trans. Comput. Soc. Syst. 10 (2) (2023)
Ashrith Reddy Thukkaraju, Han Jun Yoon, Shou Matsumoto, Jair Feldens Ferrari, Donghwan Lee, Myung Kil Ahn, Paulo C. G. Costa, Jin-Hee Cho
Interdependent Mission Impact Assessment of an IoT System with Hypergame- heoretic Attack-Defense Behavior Modeling. MASCOTS (2023)
Rui Ning, Jiang Li, Chunsheng Xin, Chonggang Wang, Xu Li, Robert Gazda, Jin-Hee Cho, Hongyi Wu
ScanFed: Scalable Behavior-Based Backdoor Detection in Federated Learning. ICDCS (2023)
Barry Menglong Yao, Aditya Shah, Lichao Sun, Jin-Hee Cho, Lifu Huang
End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and Models. SIGIR (2023)
Shou Matsumoto, Jair Feldens Ferrari, Han Jun Yoon, Ashrith Reddy Thukkaraju, Donghwan Lee, Myung Kil Ahn, Jin-Hee Cho, Paulo C. G. Costa
Software-Friendly Subjective Bayesian Networks: Reasoning within a Software-Centric Mission Impact Assessment Framework. FUSION (2023)
Qisheng Zhang, Dian Chen, Yash Mahajan, Ing-Ray Chen, Dong Sam Ha, Jin-Hee Cho
Attack-Resistant, Energy-Adaptive Monitoring for Smart Farms: Uncertainty-Aware Deep Reinforcement Learning Approach. IEEE Internet Things J. 10 (16) (2023)
Qisheng Zhang, Jin-Hee Cho, Terrence J. Moore, Dan Dongseong Kim, Hyuk Lim, Frederica Free-Nelson
EVADE: Efficient Moving Target Defense for Autonomous Network Topology Shuffling Using Deep Reinforcement Learning. ACNS (1) (2023)
Xujiang Zhao, Xuchao Zhang, Chen Zhao, Jin-Hee Cho, Lance M. Kaplan, Dong Hyun Jeong, Audun Jøsang, Haifeng Chen, Feng Chen
Multi-Label Temporal Evidential Neural Networks for Early Event Detection. ICASSP (2023)
Zelin Wan, Jin-Hee Cho, Mu Zhu, Ahmed H. Anwar, Charles A. Kamhoua, Munindar P. Singh
Resisting Multiple Advanced Persistent Threats via Hypergame-Theoretic Defensive Deception. IEEE Trans. Netw. Serv. Manag. 20 (3) (2023)
Dong Hyun Jeong, Jin-Hee Cho, Feng Chen, Audun Jøsang, Soo-Yeon Ji
Active Learning on Neural Networks through Interactive Generation of Digit Patterns and Visual Representation. CoRR (2023)
Zhen Guo, Pei Wang, Jin-Hee Cho, Lifu Huang
Text Mining-based Social-Psychological Vulnerability Analysis of Potential Victims To Cybergrooming: Insights and Lessons Learned. WWW (Companion Volume) (2023)
Haider Ali, Mohannad Al Ameedi, Ananthram Swami, Rui Ning, Jiang Li, Hongyi Wu, Jin-Hee Cho
ACADIA: Efficient and Robust Adversarial Attacks Against Deep Reinforcement Learning. CNS (2022)
Ahmed H. Anwar, Mu Zhu, Zelin Wan, Jin-Hee Cho, Charles A. Kamhoua, Munindar P. Singh
Honeypot-Based Cyber Deception Against Malicious Reconnaissance via Hypergame Theory. GLOBECOM (2022)
Zhen Guo, Jin-Hee Cho, Ing-Ray Chen, Srijan Sengupta, Michin Hong, Tanushree Mitra
SAFER: Social Capital-Based Friend Recommendation to Defend against Phishing Attacks. ICWSM (2022)
Minjune Kim, Jin-Hee Cho, Hyuk Lim, Terrence J. Moore, Frederica Free-Nelson, Dan Dongseong Kim
Performance and Security Evaluation of a Moving Target Defense Based on a Software-Defined Networking Environment. PRDC (2022)
Barry Menglong Yao, Aditya Shah, Lichao Sun, Jin-Hee Cho, Lifu Huang
End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and Models. CoRR (2022)
Hyejin Kim, Dan Dongseong Kim, Jin-Hee Cho, Terrence J. Moore, Frederica Free-Nelson, Hyuk Lim
Continual Learning with Network Intrusion Dataset. Big Data (2022)
Si Young Jang, Sung Kyu Park, Jin-Hee Cho, Dongman Lee
CARES: Context-Aware Trust Estimation for Realtime Crowdsensing Services in Vehicular Edge Networks. ACM Trans. Internet Techn. 22 (4) (2022)
Jaber Valinejad, Zhen Guo, Jin-Hee Cho, Ing-Ray Chen
Measuring Community Resilience During the COVID-19 Based on Community Wellbeing and Resource Distribution. J. Soc. Comput. 3 (4) (2022)
Audun Jøsang, Jin-Hee Cho, Feng Chen
. MFI (2022)
Peng Xu, Jin-Hee Cho, Alejandro Salado
Expert Opinion Fusion Framework Using Subjective Logic for Fault Diagnosis. IEEE Trans. Cybern. 52 (6) (2022)
Qisheng Zhang, Abdullah Zubair Mohammed, Zelin Wan, Jin-Hee Cho, Terrence J. Moore
Diversity-by-Design for Dependable and Secure Cyber-Physical Systems: A Survey. IEEE Trans. Netw. Serv. Manag. 19 (1) (2022)
Sunghwan Kim, Seunghyun Yoon, Jin-Hee Cho, Dong Seong Kim, Terrence J. Moore, Frederica Free-Nelson, Hyuk Lim
DIVERGENCE: Deep Reinforcement Learning-Based Adaptive Traffic Inspection and Moving Target Defense Countermeasure Framework. IEEE Trans. Netw. Serv. Manag. 19 (4) (2022)
Zelin Wan, Jin-Hee Cho, Mu Zhu, Ahmed H. Anwar, Charles A. Kamhoua, Munindar P. Singh
Foureye: Defensive Deception Against Advanced Persistent Threats via Hypergame Theory. IEEE Trans. Netw. Serv. Manag. 19 (1) (2022)
Qisheng Zhang, Yash Mahajan, Ing-Ray Chen, Dong Sam Ha, Jin-Hee Cho
An Attack-Resilient and Energy-Adaptive Monitoring System for Smart Farms. GLOBECOM (2022)
Qisheng Zhang, Zhen Guo, Audun Jøsang, Lance M. Kaplan, Feng Chen, Dong H. Jeong, Jin-Hee Cho
PPO-UE: Proximal Policy Optimization via Uncertainty-Aware Exploration. CoRR (2022)
Minjune Kim, Jin-Hee Cho, Hyuk Lim, Terrence J. Moore, Frederica Free-Nelson, Ryan K. L. Ko, Dan Dongseong Kim
Evaluating Performance and Security of a Hybrid Moving Target Defense in SDN Environments. QRS (2022)
Zhen Guo, Jaber Valinejad, Jin-Hee Cho
Effect of Disinformation Propagation on Opinion Dynamics: A Game Theoretic Approach. IEEE Trans. Netw. Sci. Eng. 9 (5) (2022)
Tina Moghaddam, Minjune Kim, Jin-Hee Cho, Hyuk Lim, Terrence J. Moore, Frederica Free-Nelson, Dan Dongseong Kim
A Practical Security Evaluation of a Moving Target Defence against Multi-Phase Cyberattacks. DSN Workshops (2022)
Zhen Guo, Zelin Wan, Qisheng Zhang, Xujiang Zhao, Feng Chen, Jin-Hee Cho, Qi Zhang, Lance M. Kaplan, Dong H. Jeong, Audun Jøsang
A Survey on Uncertainty Reasoning and Quantification for Decision Making: Belief Theory Meets Deep Learning. CoRR (2022)
Mengmeng Ge, Jin-Hee Cho, Dong Seong Kim, Gaurav Dixit, Ing-Ray Chen
Proactive Defense for Internet-of-things: Moving Target Defense With Cyberdeception. ACM Trans. Internet Techn. 22 (1) (2022)
Zhen Guo, Jin-Hee Cho, Ing-Ray Chen, Srijan Sengupta, Michin Hong, Tanushree Mitra
Online Social Deception and Its Countermeasures: A Survey. IEEE Access 9 (2021)
Zhen Guo, Jin-Hee Cho
Game Theoretic Opinion Models and Their Application in Processing Disinformation. GLOBECOM (2021)
Adil Alim, Jin-Hee Cho, Feng Chen
CSL+: Scalable Collective Subjective Logic under Multidimensional Uncertainty. ACM Trans. Intell. Syst. Technol. 12 (1) (2021)
Zelin Wan, Jin-Hee Cho, Mu Zhu, Ahmed H. Anwar, Charles A. Kamhoua, Munindar P. Singh
Foureye: Defensive Deception based on Hypergame Theory Against Advanced Persistent Threats. CoRR (2021)
Yash Mahajan, Jin-Hee Cho
PRADA-TF: Privacy-Diversity-Aware Online Team Formation. ICWS (2021)
Huashan Chen, Richard B. Garcia-Lebron, Zheyuan Sun, Jin-Hee Cho, Shouhuai Xu
Quantifying Cybersecurity Effectiveness of Software Diversity. CoRR (2021)
Qisheng Zhang, Jin-Hee Cho, Terrence J. Moore, Ing-Ray Chen
Vulnerability-Aware Resilient Networks: Software Diversity-Based Network Adaptation. IEEE Trans. Netw. Serv. Manag. 18 (3) (2021)
Mu Zhu, Ahmed H. Anwar, Zelin Wan, Jin-Hee Cho, Charles A. Kamhoua, Munindar P. Singh
A Survey of Defensive Deception: Approaches Using Game Theory and Machine Learning. IEEE Commun. Surv. Tutorials 23 (4) (2021)
Zelin Wan, Yash Mahajan, Beom Woo Kang, Terrence J. Moore, Jin-Hee Cho
A Survey on Centrality Metrics and Their Network Resilience Analysis. IEEE Access 9 (2021)
Qisheng Zhang, Jin-Hee Cho, Terrence J. Moore
Network Resilience Under Epidemic Attacks: Deep Reinforcement Learning Network Topology Adaptations. GLOBECOM (2021)
Yibo Hu, Yuzhe Ou, Xujiang Zhao, Jin-Hee Cho, Feng Chen
Multidimensional Uncertainty-Aware Evidential Neural Networks. AAAI (2021)
Qisheng Zhang, Jin-Hee Cho, Terrence J. Moore, Frederica Free-Nelson
DREVAN: Deep Reinforcement Learning-based Vulnerability-Aware Network Adaptations for Resilient Networks. CNS (2021)
Johan Pieter de Villiers, Gregor Pavlin, Jürgen Ziegler, Anne-Laure Jousselme, Paulo C. G. Costa, Eric Blasch, Kathryn B. Laskey, Claire Laudy, Alta de Waal, Jin-Hee Cho
Uncertainty Evaluation of Temporal Trust in a Fusion System Using the URREF Ontology. FUSION (2021)
Seunghyun Yoon, Jin-Hee Cho, Dong Seong Kim, Terrence J. Moore, Frederica Free-Nelson, Hyuk Lim
DESOLATER: Deep Reinforcement Learning-Based Resource Allocation and Moving Target Defense Deployment Framework. IEEE Access 9 (2021)
Mu Zhu, Ahmed H. Anwar, Zelin Wan, Jin-Hee Cho, Charles A. Kamhoua, Munindar P. Singh
Game-Theoretic and Machine Learning-based Approaches for Defensive Deception: A Survey. CoRR (2021)
Júlio Mendonça, Jin-Hee Cho, Terrence J. Moore, Frederica Free-Nelson, Hyuk Lim, Armin Zimmermann, Dong Seong Kim
Performability analysis of services in a software-defined networking adopting time-based moving target defense mechanisms. SAC (2020)
Hamid Al-Hamadi, Mohammad Saoud, Ing-Ray Chen, Jin-Hee Cho
Optimizing the Lifetime of IoT-Based Star and Mesh Networks. IEEE Access 8 (2020)
Z. Xu, L. Cao, X. Chen, Jin-Hee Cho
Deep Reinforcement Learning with Adaptive Update Target Combination. Comput. J. 63 (7) (2020)
Zhen Guo, Jin-Hee Cho, Ing-Ray Chen, Srijan Sengupta, Michin Hong, Tanushree Mitra
Online Social Deception and Its Countermeasures for Trustworthy Cyberspace: A Survey. CoRR (2020)
Xujiang Zhao, Feng Chen, Shu Hu, Jin-Hee Cho
Uncertainty Aware Semi-Supervised Learning on Graph Data. CoRR (2020)
Yibo Hu, Yuzhe Ou, Xujiang Zhao, Jin-Hee Cho, Feng Chen
Multidimensional Uncertainty-Aware Evidential Neural Networks. CoRR (2020)
Dong Seong Kim, Minjune Kim, Jin-Hee Cho, Hyuk Lim, Terrence J. Moore, Frederica Free-Nelson
Design and Performance Analysis of Software Defined Networking Based Web Services Adopting Moving Target Defense. DSN (Supplements) (2020)
Mengmeng Ge, Jin-Hee Cho, Dong Seong Kim, Gaurav Dixit, Ing-Ray Chen
Proactive Defense for Internet-of-Things: Integrating Moving Target Defense with Cyberdeception. CoRR (2020)
Dilli P. Sharma, Simon Yusuf Enoch, Jin-Hee Cho, Terrence J. Moore, Frederica Free-Nelson, Hyuk Lim, Dong Seong Kim
Dynamic Security Metrics for Software-Defined Network-based Moving Target Defense. J. Netw. Comput. Appl. 170 (2020)
Zelin Wan, Yash Mahajan, Beom Woo Kang, Terrence J. Moore, Jin-Hee Cho
A Survey on Centrality Metrics and Their Implications in Network Resilience. CoRR (2020)
Seunghyun Yoon, Jin-Hee Cho, Dong Seong Kim, Terrence J. Moore, Frederica Free-Nelson, Hyuk Lim
Attack Graph-Based Moving Target Defense in Software-Defined Networks. IEEE Trans. Netw. Serv. Manag. 17 (3) (2020)
Hongmin Yang, Jin-Hee Cho, Heesuk Son, Dongman Lee
Context-Aware Trust Estimation for Realtime Crowdsensing Services in Vehicular Edge Networks. CCNC (2020)
Xujiang Zhao, Feng Chen, Shu Hu, Jin-Hee Cho
Uncertainty Aware Semi-Supervised Learning on Graph Data. NeurIPS (2020)
Gaurav Choudhary, Philip Virgil Astillo, Ilsun You, Kangbin Yim, Ing-Ray Chen, Jin-Hee Cho
Lightweight Misbehavior Detection Management of Embedded IoT Devices in Medical Cyber Physical Systems. IEEE Trans. Netw. Serv. Manag. 17 (4) (2020)
Jin-Hee Cho, Dilli P. Sharma, Hooman Alavizadeh, Seunghyun Yoon, Noam Ben-Asher, Terrence J. Moore, Dong Seong Kim, Hyuk Lim, Frederica Free-Nelson
Toward Proactive, Adaptive Defense: A Survey on Moving Target Defense. IEEE Commun. Surv. Tutorials 22 (1) (2020)
Qisheng Zhang, Jin-Hee Cho, Terrence J. Moore, Ing-Ray Chen
Vulnerability-Aware Resilient Networks: Software Diversity-based Network Adaptation. CoRR (2020)
Qisheng Zhang, Abdullah Zubair Mohammed, Zelin Wan, Jin-Hee Cho, Terrence J. Moore
Diversity-By-Design for Dependable and Secure Cyber-Physical Systems: A Survey. CoRR (2020)
Benjamin D. Horne, Dorit Nevo, John O'Donovan, Jin-Hee Cho, Sibel Adali
Rating Reliability and Bias in News Articles: Does AI Assistance Help Everyone? CoRR (2019)
Xujiang Zhao, Yuzhe Ou, Lance M. Kaplan, Feng Chen, Jin-Hee Cho
Quantifying Classification Uncertainty using Regularized Evidential Neural Networks. CoRR (2019)
Jose David Mireles, Eric Ficke, Jin-Hee Cho, Patrick M. Hurley, Shouhuai Xu
Metrics Towards Measuring Cyber Agility. CoRR (2019)
Jin-Hee Cho, Shouhuai Xu, Patrick M. Hurley, Matthew MacKay, Trevor Benjamin, Mark Beaumont
STRAM: Measuring the Trustworthiness of Computer-Based Systems. ACM Comput. Surv. 51 (6) (2019)
Jin-Hee Cho, Scott Rager, John O'Donovan, Sibel Adali, Benjamin D. Horne
Uncertainty-based False Information Propagation in Social Networks. ACM Trans. Soc. Comput. 2 (2) (2019)
Vishal Sharma, Ilsun You, Kangbin Yim, Ing-Ray Chen, Jin-Hee Cho
BRIoT: Behavior Rule Specification-Based Misbehavior Detection for IoT-Embedded Cyber-Physical Systems. IEEE Access 7 (2019)
Adil Alim, Xujiang Zhao, Jin-Hee Cho, Feng Chen
Uncertainty-Aware Opinion Inference Under Adversarial Attacks. IEEE BigData (2019)
Hamid Al-Hamadi, Ing-Ray Chen, Jin-Hee Cho
Trust Management of Smart Service Communities. IEEE Access 7 (2019)
Jose David Mireles, Eric Ficke, Jin-Hee Cho, Patrick M. Hurley, Shouhuai Xu
Metrics Towards Measuring Cyber Agility. IEEE Trans. Inf. Forensics Secur. 14 (12) (2019)
Seunghyun Yoon, Jin-Hee Cho, Dong Seong Kim, Terrence J. Moore, Frederica Free-Nelson, Hyuk Lim
Poster: Address Shuffling based Moving Target Defense for In-Vehicle Software-Defined Networks. MobiCom (2019)
Benjamin D. Horne, Dorit Nevo, John O'Donovan, Jin-Hee Cho, Sibel Adali
Rating Reliability and Bias in News Articles: Does AI Assistance Help Everyone? ICWSM (2019)
Jargalsaikhan Narantuya, Seunghyun Yoon, Hyuk Lim, Jin-Hee Cho, Dong Seong Kim, Terrence J. Moore, Frederica Free-Nelson
SDN-Based IP Shuffling Moving Target Defense with Multiple SDN Controllers. DSN (Supplements) (2019)
Dilli P. Sharma, Jin-Hee Cho, Terrence J. Moore, Frederica Free-Nelson, Hyuk Lim, Dong Seong Kim
Random Host and Service Multiplexing for Moving Target Defense in Software-Defined Networks. ICC (2019)
Anup K. Kalia, Nirav Ajmeri, Kevin S. Chan, Jin-Hee Cho, Sibel Adali, Munindar P. Singh
The Interplay of Emotions and Norms in Multiagent Systems. IJCAI (2019)
Mengmeng Ge, Jin-Hee Cho, Charles A. Kamhoua, Dong Seong Kim
Optimal Deployments of Defense Mechanisms for the Internet of Things. CoRR (2019)
Jin-Hee Cho, Hamid Al-Hamadi, Ing-Ray Chen
COSTA: Composite Trust-Based Asset-Task Assignment in Mobile Ad Hoc Networks. IEEE Access 7 (2019)
Terrence J. Moore, Jin-Hee Cho, Ing-Ray Chen
Network Adaptations Under Cascading Failures for Mission-Oriented Networks. IEEE Trans. Netw. Serv. Manag. 16 (3) (2019)
Mengmeng Ge, Jin-Hee Cho, Bilal Ishfaq, Dong Seong Kim
Modeling and Analysis of Integrated Proactive Defense Mechanisms for Internet-of-Things. CoRR (2019)

Jin-Hee Cho.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Jin-Hee Cho