Dan Chia-Tien Lo

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 33

Top Topics

Malware Detection

Bayes Classifier

Security Requirements

Software Development

Top Venues

COMPSAC Workshops

ACM Southeast Regional Conference

Publications

Tarun Potluri, Yong Shi, Hossain Shahriar, Dan Chia-Tien Lo, Reza M. Parizi, Hongmei Chi, Kai Qian
Secure Software Development in Google Colab. AIIoT (2023)
Muna Jemal, Dan Chia-Tien Lo
Detection of Ransomware Attack Using Deep Learning. DSC (2023)
Bobin Deng, Xinyue Zhang, Dan Chia-Tien Lo
Serverless-DFS: Serverless Federated Learning with Dynamic Forest Strategy. ICNCC (2023)
Dan Chia-Tien Lo, Bobin Deng, Yong Shi
Deep Machine Learning on Segmenting and Classifying Crop Images Taken by Unmanned Aerial Vehicle. BigData (2023)
Dan Chia-Tien Lo, Hossain Shahriar, Kai Qian, Michael Whitman, Fan Wu, Cassandra Thomas
Authentic Learning of Machine Learning in Cybersecurity with Portable Hands-on Labware. SIGCSE (2) (2022)
Md Jobair Hossain Faruk, Hossain Shahriar, Maria Valero, Farhat Lamia Barsha, Shahriar Sobhan, Md Abdullah Khan, Michael E. Whitman, Alfredo Cuzzocrea, Dan Chia-Tien Lo, Akond Rahman, Fan Wu
Malware Detection and Prevention using Artificial Intelligence Techniques. CoRR (2022)
Dan Chia-Tien Lo, Brian Robert Lawler
Enhance Capacity to Foster Secondary Computer Science Teachers in Multiple Pathways. SIGCSE (2) (2022)
Dan Chia-Tien Lo, Kai Qian, Yong Shi, Hossain Shahriar, Chung Ng
Broaden Multidisciplinary Data Science Research by an Innovative Cyberinfrastructure Platform. COMPSAC (2022)
Dan Chia-Tien Lo, Brian Robert Lawler
A study on students' views toward K-12 computer science teaching career. ACM Southeast Conference (2021)
Nusrat Asrafi, Dan Chia-Tien Lo, Reza M. Parizi, Yong Shi, Yu-Wen Chen
Comparing Performance of Malware Classification on Automated Stacking. ACM Southeast Regional Conference (2020)
Dan Chia-Tien Lo, Ruth Bearden, Deepa Muralidhar, Hossain Shahriar, Wei Chen, Pascal Paschos, Chung Ng
A Hands-On Lab for Macro Malware Detection using Machine Learning on Virtual Machines. SIGCSE (2020)
Zhengwu Sun, Dan Chia-Tien Lo, Yong Shi
Big Data Analysis on Social Networking. IEEE BigData (2019)
Dan Chia-Tien Lo, Charles Garnder, Pascal Paschos, Chung Ng
Subject-Oriented Data Retrieval and Analysis on Sina Weibo. IEEE BigData (2019)
Hossain Shahriar, Miahcel Whitman, Dan Chia-Tien Lo, Fan Wu, Cassandra Thomas, Alfredo Cuzzocrea
Experiential Learning: Case Study-Based Portable Hands-on Regression Labware for Cyber Fraud Prediction. IEEE BigData (2019)
Kai Qian, Dan Chia-Tien Lo, Reza M. Parizi, Fan Wu, Emmanuel Agu, Bei-Tseng Chu
Authentic Learning Secure Software Development (SSD) in Computing Education. FIE (2018)
Xianyong Meng, Kai Qian, Dan Chia-Tien Lo, Prabir Bhattacharya, Fan Wu
Secure Mobile Software Development with Vulnerability Detectors in Static Code Analysis. ISNCC (2018)
Xianyong Meng, Kai Qian, Dan Chia-Tien Lo, Hossain Shahriar, Md Arabin Islam Talukder, Prabir Bhattacharya
Secure Mobile IPC Software Development with Vulnerability Detectors in Android Studio. COMPSAC (1) (2018)
Xianyong Meng, Kai Qian, Dan Chia-Tien Lo, Prabir Bhattacharya
Detectors for Intent ICC Security Vulnerability with Android IDE. ICUFN (2018)
Hossain Shahriar, Kai Qian, Md Arabin Islam Talukder, Dan Chia-Tien Lo, Nidhibahen Patel
Mobile Software Security with Dynamic Analysis. PRDC (2018)
Kai Qian, Reza M. Parizi, Dan Chia-Tien Lo
OWASP Risk Analysis Driven Security Requirements Specification for Secure Android Mobile Software Development. DSC (2018)
Michael Kranzlein, Dan Chia-Tien Lo
Training on the poles for review sentiment polarity classification. IEEE BigData (2017)
Joel Kamdem Teto, Ruth Bearden, Dan Chia-Tien Lo
The Impact of Defensive Programming on I/O Cybersecurity Attacks. ACM Southeast Regional Conference (2017)
Kai Qian, Dan Chia-Tien Lo, Hossain Shahriar, Lei Li, Fan Wu, Prabir Bhattacharya
Learning database security with hands-on mobile labs. FIE (2017)
Liang Hong, Wei Chen, Sachin Shetty, Dan Chia-Tien Lo, Reginald Cooper
Strong Security Approach with Compromised Nodes Detection in Cognitive Radio Sensor Networks. Int. J. Netw. Comput. 7 (1) (2017)
Ruth Bearden, Dan Chia-Tien Lo
Automated microsoft office macro malware detection using machine learning. IEEE BigData (2017)
Jhu-Sin Luo, Dan Chia-Tien Lo
Binary malware image classification using machine learning with local binary pattern. IEEE BigData (2017)
Tianda Yang, Kai Qian, Lei Li, Dan Chia-Tien Lo, Lixin Tao
Static Mining and Dynamic Taint for Mobile Security Threats Analysis. SmartCloud (2016)
Jing He, Dan Chia-Tien Lo, Ying Xie, Jonathan W. Lartigue
Integrating Internet of Things (IoT) into STEM undergraduate education: Case study of a modern technology infused courseware for embedded system course. FIE (2016)
Tianda Yang, Kai Qian, Dan Chia-Tien Lo, Ying Xie, Yong Shi, Lixin Tao
Improve the Prediction Accuracy of Naïve Bayes Classifier with Association Rule Mining. BigDataSecurity/HPSC/IDS (2016)
Dan Chia-Tien Lo, Kai Qian, Wei Chen
Hardware Attacks and Security Education. COMPSAC Workshops (2016)
Carlos Cepeda, Dan Chia-Tien Lo, Pablo Ordóñez
Feature Selection and Improving Classification Performance for Malware Detection. BDCloud-SocialCom-SustainCom (2016)
Yong Shi, Dan Chia-Tien Lo, Kai Qian
Teaching Secure Cloud Computing Concepts with Open Source CloudSim Environment. COMPSAC Workshops (2016)
Wei Chen, Liang Hong, Sachin Shetty, Dan Chia-Tien Lo, Reginald Cooper
Cross-Layered Security Approach with Compromised Nodes Detection in Cooperative Sensor Networks. IPDPS Workshops (2016)
Teng Zhao, Dan Chia-Tien Lo, Kai Qian
A Neural-Network Based DDoS Detection System Using Hadoop and HBase. HPCC/CSS/ICESS (2015)
Amir Atabekov, Marcel Starosielsky, Dan Chia-Tien Lo, Jing (Selena) He
Internet of Things-Based Temperature Tracking System. COMPSAC Workshops (2015)
Tianda Yang, Yu Yang, Kai Qian, Dan Chia-Tien Lo, Ying Qian, Lixin Tao
Automated Detection and Analysis for Android Ransomware. HPCC/CSS/ICESS (2015)
Dan Chia-Tien Lo, Kai Qian, Wei Chen
Mobile security education on portable labs. FIE (2015)
Dan Chia-Tien Lo, Kai Qian, Wei Chen, Hossain Shahriar, Victor Clincy
Authentic learning in network and security with portable labs. FIE (2014)
Luna Mingyi Zhang, Keqin Li, Dan Chia-Tien Lo, Yanqing Zhang
Energy-efficient task scheduling algorithms on heterogeneous computers with continuous and discrete speeds. Sustain. Comput. Informatics Syst. 3 (2) (2013)
Dan Chia-Tien Lo, Kai Qian, Gang Quan, Liang Hong
Work in progress: Enhance CS/CE student learning in computer architecture and organization through a remote instrument control lab with mixed reality. FIE (2012)