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2020 – today
- 2024
[j66]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: 101987 (2024)- [j65]Dian Chen, Qisheng Zhang, Ing-Ray Chen, Dong Sam Ha, Jin-Hee Cho:
Energy-Adaptive and Robust Monitoring for Smart Farms Based on Solar-Powered Wireless Sensors. IEEE Internet Things J. 11(18): 29781-29797 (2024) - [c105]Nhung H. Nguyen, Jin-Hee Cho, Terrence J. Moore, Seunghyun Yoon, Hyuk Lim, Frederica Nelson, Guangdong Bai, Dan Dongseong Kim:
AuSSE: A Novel Framework for Security and Safety Evaluation for Autonomous Vehicles. DSN-S 2024: 1-5 - [c104]Han Jun Yoon, Shou Matsumoto, Paulo C. G. Costa, Jin-Hee Cho:
Towards an Efficient Simulation-Based Anytime Inference in Subjective Bayesian Networks. FUSION 2024: 1-8 - [c103]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 - [c102]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: 6755-6756 - [c101]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: 1-7 - [c100]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: 1-7 - [i32]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 abs/2402.06023 (2024) - [i31]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 abs/2402.10280 (2024) - [i30]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 abs/2404.10980 (2024) - [i29]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 abs/2404.18826 (2024) - [i28]Xinyi Zhang, Pamela J. Wisniewski, Jin-Hee Cho, Lifu Huang, Sang Won Lee:
Generating A Crowdsourced Conversation Dataset to Combat Cybergrooming. CoRR abs/2405.13154 (2024) - [i27]Mohammad Beigi, Sijia Wang, Ying Shen, Zihao Lin, Adithya Kulkarni, Jianfeng He, Feng Chen, Ming Jin, Jin-Hee Cho, Dawei Zhou, Chang-Tien Lu, Lifu Huang:
Rethinking the Uncertainty: A Critical Review and Analysis in the Era of Large Language Models. CoRR abs/2410.20199 (2024) - 2023
- [j64]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: 120095-120130 (2023) - [j63]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): 16 (2023) - [j62]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): 14254-14268 (2023) - [j61]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): 1001-1032 (2023) - [j60]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): 11:1-11:31 (2023) - [j59]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): 435-447 (2023) - [j58]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): 3816-3830 (2023) - [c99]Qisheng Zhang, Jin-Hee Cho, Terrence J. Moore, Dan Dongseong Kim, Hyuk Lim, Frederica Nelson:
EVADE: Efficient Moving Target Defense for Autonomous Network Topology Shuffling Using Deep Reinforcement Learning. ACNS (1) 2023: 555-582 - [c98]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: 1-8 - [c97]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: 1-5 - [c96]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: 782-793 - [c95]Zhen Guo, Pei Wang, Lifu Huang, Jin-Hee Cho:
Authentic Dialogue Generation to Improve Youth's Awareness of Cybergrooming for Online Safety. ICTAI 2023: 64-69 - [c94]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: 722-724 - [c93]Xujiang Zhao, Chen Zhao, Feng Chen, Jin-Hee Cho, Haifeng Chen:
2nd Workshop on Uncertainty Reasoning and Quantification in Decision Making. KDD 2023: 5907-5908 - [c92]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: 1-8 - [c91]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: 382-387 - [c90]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: 2733-2743 - [c89]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: 1381-1388 - [i26]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 abs/2302.10195 (2023) - [i25]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 abs/2310.01580 (2023) - 2022
- [j57]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): 322-344 (2022) - [j56]Peng Xu, Jin-Hee Cho, Alejandro Salado:
Expert Opinion Fusion Framework Using Subjective Logic for Fault Diagnosis. IEEE Trans. Cybern. 52(6): 4300-4311 (2022) - [j55]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): 3775-3790 (2022) - [j54]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): 112-129 (2022) - [j53]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): 706-728 (2022) - [j52]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): 4834-4846 (2022) - [j51]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): 24:1-24:31 (2022) - [j50]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): 92:1-92:24 (2022) - [c88]Hyejin Kim, Dan Dongseong Kim, Jin-Hee Cho, Terrence J. Moore, Frederica F. Nelson, Hyuk Lim:
Continual Learning with Network Intrusion Dataset. IEEE Big Data 2022: 6702-6704 - [c87]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: 1-9 - [c86]Tina Moghaddam, Minjune Kim, Jin-Hee Cho, Hyuk Lim, Terrence J. Moore, Frederica F. Nelson, Dan Dongseong Kim:
A Practical Security Evaluation of a Moving Target Defence against Multi-Phase Cyberattacks. DSN Workshops 2022: 103-110 - [c85]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: 2776-2781 - [c84]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: 3393-3398 - [c83]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: 241-252 - [c82]Audun Jøsang, Jin-Hee Cho, Feng Chen:
Noninformative Prior Weights for Dirichlet PDFs*. MFI 2022: 1-6 - [c81]Minjune Kim, Jin-Hee Cho, Hyuk Lim, Terrence J. Moore, Frederica F. Nelson, Dan Dongseong Kim:
Performance and Security Evaluation of a Moving Target Defense Based on a Software-Defined Networking Environment. PRDC 2022: 119-129 - [c80]Minjune Kim, Jin-Hee Cho, Hyuk Lim, Terrence J. Moore, Frederica F. Nelson, Ryan K. L. Ko, Dan Dongseong Kim:
Evaluating Performance and Security of a Hybrid Moving Target Defense in SDN Environments. QRS 2022: 276-286 - [i24]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 abs/2205.12487 (2022) - [i23]Zhen Guo, Zelin Wan, Qisheng Zhang, Xujiang Zhao, Feng Chen, Jin-Hee Cho, Qi Zhang, Lance M. Kaplan, Dong Hyun Jeong, Audun Jøsang:
A Survey on Uncertainty Reasoning and Quantification for Decision Making: Belief Theory Meets Deep Learning. CoRR abs/2206.05675 (2022) - [i22]Qisheng Zhang, Zhen Guo, Audun Jøsang, Lance M. Kaplan, Feng Chen, Dong Hyun Jeong, Jin-Hee Cho:
PPO-UE: Proximal Policy Optimization via Uncertainty-Aware Exploration. CoRR abs/2212.06343 (2022) - 2021
- [j49]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: 1770-1806 (2021) - [j48]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: 70700-70714 (2021) - [j47]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: 104773-104819 (2021) - [j46]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): 2460-2493 (2021) - [j45]Adil Alim, Jin-Hee Cho, Feng Chen:
CSL+: Scalable Collective Subjective Logic under Multidimensional Uncertainty. ACM Trans. Intell. Syst. Technol. 12(1): 7:1-7:26 (2021) - [j44]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): 3154-3169 (2021) - [c79]Yibo Hu, Yuzhe Ou, Xujiang Zhao, Jin-Hee Cho, Feng Chen:
Multidimensional Uncertainty-Aware Evidential Neural Networks. AAAI 2021: 7815-7822 - [c78]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: 137-145 - [c77]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: 1-8 - [c76]Zhen Guo, Jin-Hee Cho:
Game Theoretic Opinion Models and Their Application in Processing Disinformation. GLOBECOM 2021: 1-7 - [c75]Qisheng Zhang, Jin-Hee Cho, Terrence J. Moore:
Network Resilience Under Epidemic Attacks: Deep Reinforcement Learning Network Topology Adaptations. GLOBECOM 2021: 1-7 - [c74]Yash Mahajan, Jin-Hee Cho:
PRADA-TF: Privacy-Diversity-Aware Online Team Formation. ICWS 2021: 493-499 - [i21]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 abs/2101.02863 (2021) - [i20]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 abs/2101.10121 (2021) - [i19]Huashan Chen, Richard B. Garcia-Lebron, Zheyuan Sun, Jin-Hee Cho, Shouhuai Xu:
Quantifying Cybersecurity Effectiveness of Software Diversity. CoRR abs/2111.10090 (2021) - 2020
- [j43]Hamid Al-Hamadi, Mohammad Saoud, Ing-Ray Chen, Jin-Hee Cho:
Optimizing the Lifetime of IoT-Based Star and Mesh Networks. IEEE Access 8: 63090-63105 (2020) - [j42]Z. Xu, Lei Cao, Xiliang Chen, Jin-Hee Cho:
Deep Reinforcement Learning with Adaptive Update Target Combination. Comput. J. 63(7): 995-1003 (2020) - [j41]Jin-Hee Cho, Dilli P. Sharma, Hooman Alavizadeh, Seunghyun Yoon, Noam Ben-Asher, Terrence J. Moore, Dong Seong Kim, Hyuk Lim, Frederica F. Nelson:
Toward Proactive, Adaptive Defense: A Survey on Moving Target Defense. IEEE Commun. Surv. Tutorials 22(1): 709-745 (2020) - [j40]Dilli P. Sharma, Simon Yusuf Enoch, Jin-Hee Cho, Terrence J. Moore, Frederica F. Nelson, Hyuk Lim, Dong Seong Kim:
Dynamic Security Metrics for Software-Defined Network-based Moving Target Defense. J. Netw. Comput. Appl. 170: 102805 (2020) - [j39]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): 1653-1668 (2020) - [j38]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): 2496-2510 (2020) - [c73]Hongmin Yang, Jin-Hee Cho, Heesuk Son, Dongman Lee:
Context-Aware Trust Estimation for Realtime Crowdsensing Services in Vehicular Edge Networks. CCNC 2020: 1-6 - [c72]Dong Seong Kim, Minjune Kim, Jin-Hee Cho, Hyuk Lim, Terrence J. Moore, Frederica F. Nelson:
Design and Performance Analysis of Software Defined Networking Based Web Services Adopting Moving Target Defense. DSN (Supplements) 2020: 43-44 - [c71]Xujiang Zhao, Feng Chen, Shu Hu, Jin-Hee Cho:
Uncertainty Aware Semi-Supervised Learning on Graph Data. NeurIPS 2020 - [c70]Júlio Mendonça, Jin-Hee Cho, Terrence J. Moore, Frederica F. 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: 1180-1189 - [i18]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 abs/2004.07678 (2020) - [i17]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 abs/2005.04220 (2020) - [i16]Qisheng Zhang, Jin-Hee Cho, Terrence J. Moore, Ing-Ray Chen:
Vulnerability-Aware Resilient Networks: Software Diversity-based Network Adaptation. CoRR abs/2007.08469 (2020) - [i15]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 abs/2007.08688 (2020) - [i14]Xujiang Zhao, Feng Chen, Shu Hu, Jin-Hee Cho:
Uncertainty Aware Semi-Supervised Learning on Graph Data. CoRR abs/2010.12783 (2020) - [i13]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 abs/2011.14575 (2020) - [i12]Yibo Hu, Yuzhe Ou, Xujiang Zhao, Jin-Hee Cho, Feng Chen:
Multidimensional Uncertainty-Aware Evidential Neural Networks. CoRR abs/2012.13676 (2020)
2010 – 2019
- 2019
- [j37]Hamid Al-Hamadi, Ing-Ray Chen, Jin-Hee Cho:
Trust Management of Smart Service Communities. IEEE Access 7: 26362-26378 (2019) - [j36]Jin-Hee Cho, Hamid Al-Hamadi, Ing-Ray Chen:
COSTA: Composite Trust-Based Asset-Task Assignment in Mobile Ad Hoc Networks. IEEE Access 7: 92296-92313 (2019) - [j35]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: 118556-118580 (2019) - [j34]Jin-Hee Cho, Shouhuai Xu, Patrick M. Hurley, Matthew MacKay, Trevor Benjamin, Mark R. Beaumont:
STRAM: Measuring the Trustworthiness of Computer-Based Systems. ACM Comput. Surv. 51(6): 128:1-128:47 (2019) - [j33]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): 3217-3232 (2019) - [j32]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): 1184-1198 (2019) - [j31]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): 5:1-5:34 (2019) - [c69]Adil Alim, Xujiang Zhao, Jin-Hee Cho, Feng Chen:
Uncertainty-Aware Opinion Inference Under Adversarial Attacks. IEEE BigData 2019: 6-15 - [c68]Jargalsaikhan Narantuya, Seunghyun Yoon, Hyuk Lim, Jin-Hee Cho, Dong Seong Kim, Terrence J. Moore, Frederica Nelson:
SDN-Based IP Shuffling Moving Target Defense with Multiple SDN Controllers. DSN (Supplements) 2019: 15-16 - [c67]Xujiang Zhao, Shu Hu, Jin-Hee Cho, Feng Chen:
Uncertainty-based Decision Making Using Deep Reinforcement Learning. FUSION 2019: 1-8 - [c66]Dilli P. Sharma, Jin-Hee Cho, Terrence J. Moore, Frederica F. Nelson, Hyuk Lim, Dong Seong Kim:
Random Host and Service Multiplexing for Moving Target Defense in Software-Defined Networks. ICC 2019: 1-6 - [c65]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: 247-256 - [c64]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: 371-377 - [c63]Seunghyun Yoon, Jin-Hee Cho, Dong Seong Kim, Terrence J. Moore, Frederica Nelson, Hyuk Lim:
Poster: Address Shuffling based Moving Target Defense for In-Vehicle Software-Defined Networks. MobiCom 2019: 103:1-103:3 - [c62]Cole Dishington, Dilli P. Sharma, Dong Seong Kim, Jin-Hee Cho, Terrence J. Moore, Frederica F. Nelson:
Security and Performance Assessment of IP Multiplexing Moving Target Defence in Software Defined Networks. TrustCom/BigDataSE 2019: 288-295 - [i11]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 abs/1904.01531 (2019) - [i10]Jose David Mireles, Eric Ficke, Jin-Hee Cho, Patrick M. Hurley, Shouhuai Xu:
Metrics Towards Measuring Cyber Agility. CoRR abs/1906.05395 (2019) - [i9]Mengmeng Ge, Jin-Hee Cho, Charles A. Kamhoua, Dong Seong Kim:
Optimal Deployments of Defense Mechanisms for the Internet of Things. CoRR abs/1908.00324 (2019) - [i8]Mengmeng Ge, Jin-Hee Cho, Bilal Ishfaq, Dong Seong Kim:
Modeling and Analysis of Integrated Proactive Defense Mechanisms for Internet-of-Things. CoRR abs/1908.00327 (2019) - [i7]Jin-Hee Cho, Dilli P. Sharma, Hooman Alavizadeh, Seunghyun Yoon, Noam Ben-Asher, Terrence J. Moore, Dong Seong Kim, Hyuk Lim, Frederica F. Nelson:
Toward Proactive, Adaptive Defense: A Survey on Moving Target Defense. CoRR abs/1909.08092 (2019) - [i6]Xujiang Zhao, Feng Chen, Jin-Hee Cho:
Deep Learning for Predicting Dynamic Uncertain Opinions in Network Data. CoRR abs/1910.05640 (2019) - [i5]Xujiang Zhao, Yuzhe Ou, Lance M. Kaplan, Feng Chen, Jin-Hee Cho:
Quantifying Classification Uncertainty using Regularized Evidential Neural Networks. CoRR abs/1910.06864 (2019) - 2018
- [j30]