Dan Lo 0001 - researchr alias

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Viewing Publication 1 - 11 from 11

2023

2022

Authentic Learning of Machine Learning to Ransomware Detection and PreventionMd Jobair Hossain Faruk, Mohammad Masum, Hossain Shahriar, Kai Qian, Dan Lo 0001. compsac 2022: 442-443 [doi]

Authentic Learning of Machine Learning in Cybersecurity with Portable Hands-on Labware: Neural Network Algorithms for Network Denial of Service (DOS) DetectionMd Jobair Hossain Faruk, Hossain Shahriar, Kai Qian, Dan Lo 0001, Michael E. Whitman, Alfredo Cuzzocrea, Fan Wu 0013, Victor Clincy. bigdataconf 2022: 5715-5720 [doi]

Improving the Prediction Accuracy with Feature Selection for Ransomware DetectionChulan Gao, Hossain Shahriar, Dan Lo 0001, Yong Shi, Kai Qian. compsac 2022: 424-425 [doi]

Improving the Machine Learning Prediction Accuracy with Clustering DiscretizationChunlan Gao, Yanqing Zhang, Dan Lo 0001, Yong Shi, Jian Huang. ccwc 2022: 513-517 [doi]

Scalable Machine Learning Using PySparkMohammad Masum, Hossain Shahriar, Nazmus Sakib, Maria Valero, Kai Qian, Dan Lo 0001, Fan Wu 0013, Mohammed Karim, Parth Bhavsar, Jidong Yang. compsac 2022: 454-455 [doi]

Ransomware Classification and Detection With Machine Learning AlgorithmsMohammad Masum, Md Jobair Hossain Faruk, Hossain Shahriar, Kai Qian, Dan Lo 0001, Muhaiminul Islam Adnan. ccwc 2022: 316-322 [doi]

2016

Promote Self-efficacy in Learning of Mobile App and Security with real-world Relevant Laboratory (Abstract Only)Kai Qian, Dan Lo 0001, Wei Chen 0003, Ying Qian. sigcse 2016: 691 [doi]

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