| Potential forensic analysis of IoT data: an overview of the state-of-the-art and future possibilities C Shin, P Chandok, R Liu, SJ Nielson, TR Leschke 2017 IEEE international conference on internet of things (iThings) and IEEE …, 2017 | 28 | 2017 |
| IMCDCF: An Incremental Malware Detection Approach Using Hidden Markov Models R Liu, C Nicholas MALWARE TECHNICAL EXCHANGE MEETING (MTEM) 2021, 2021 | 2 | 2021 |
| 基于 LAMP 架构的在线评测系统设计 董文永， 冯敏， 吴德敏， 刘然， 钟安原， 毛文韬 Proceedings of 2010 Third International Conference on Education Technology …, 2010 | 2 | 2010 |
| 基于智能体技术的火场人员疏散元胞自动机模型与仿真 董文永， 毛文韬， 钟安原， 司伟鑫， 段昭亮， 徐宁， 刘然 曃 国际教育技术与培训会议 236, 2010 | 2 | 2010 |
| A Feature Set of Small Size for the PDF Malware Detection R Liu, C Nicholas KDD Workshop on Knowledge-infused Learning at the ACM SIGKDD & Annual KDD …, 2023 | 1 | 2023 |
| Evaluating Representativeness in PDF Malware Datasets: A Comparative Study and a New Dataset R Liu, R Joyce, C Matuszek, C Nicholas 2023 IEEE International Conference on Big Data (BigData), 3017-3024, 2023 | | 2023 |
| A PDF Malware Detection Method Using Extremely Small Training Sample Size R Liu, M Cynthia, C Nicholas The 23rd ACM Symposium on Document Engineering, 2023 | | 2023 |
| A Distance-Based Method for Detecting PDF Malware R Liu, C Nicholas MALWARE TECHNICAL EXCHANGE MEETING (MTEM) 2023, 2023 | | 2023 |
| Can Feature Engineering Help Quantum Machine Learning for Malware Detection? R Liu, M Eren, C Nicholas MALWARE TECHNICAL EXCHANGE MEETING (MTEM) 2022, 2022 | | 2022 |
| Incremental Malware Detection and Classification Using Hidden Markov Models R Liu, C Nicholas International Conference on Cyber Warfare and Security 2022, 2022 | | 2022 |
| 基于蛛网理论的房价构成和分析模型 董文永， 钟安原， 毛文韬， 武斌， 鲍蕾， 王豪， 刘然 Proceedings of 2010 Third International Conference on Education Technology …, 2010 | | 2010 |
Charles NicholasUMBCVerified email at umbc.edu
