| A survey on blockchain systems: Attacks, defenses, and privacy preservation Y Chen, H Chen, Y Zhang, M Han, M Siddula, Z Cai High-Confidence Computing 2 (2), 100048, 2022 | 58 | 2022 |
| Anonymization in online social networks based on enhanced equi-cardinal clustering M Siddula, Y Li, X Cheng, Z Tian, Z Cai IEEE Transactions on Computational Social Systems 6 (4), 809-820, 2019 | 42 | 2019 |
| Game theory in internet of things: A survey C Chi, Y Wang, X Tong, M Siddula, Z Cai IEEE Internet of Things Journal 9 (14), 12125-12146, 2021 | 41 | 2021 |
| Approximate data aggregation in sensor equipped IoT networks J Li, M Siddula, X Cheng, W Cheng, Z Tian, Y Li Tsinghua Science and Technology 25 (1), 44-55, 2019 | 36 | 2019 |
| Using embedded feature selection and CNN for classification on CCD-INID-V1—a new IoT dataset Z Liu, N Thapa, A Shaver, K Roy, M Siddula, X Yuan, A Yu sensors 21 (14), 4834, 2021 | 35 | 2021 |
| An empirical study on the privacy preservation of online social networks M Siddula, L Li, Y Li IEEE Access 6, 19912-19922, 2018 | 35 | 2018 |
| Unsupervised feature learning for objects of interest detection in cluttered construction roof site images M Siddula, F Dai, Y Ye, J Fan Procedia Engineering 145, 428-435, 2016 | 28 | 2016 |
| Differentially private recommendation system based on community detection in social network applications G Li, Z Cai, G Yin, Z He, M Siddula Security and Communication Networks 2018, 2018 | 22 | 2018 |
| Classifying construction site photos for roof detection: A machine-learning method towards automated measurement of safety performance on roof sites M Siddula, F Dai, Y Ye, J Fan Construction Innovation 16 (3), 368-389, 2016 | 18 | 2016 |
| Privacy-enhancing preferential lbs query for mobile social network users M Siddula, Y Li, X Cheng, Z Tian, Z Cai Wireless Communications and Mobile Computing 2020, 1-13, 2020 | 16 | 2020 |
| Privacy preserving online social networks using enhanced equicardinal clustering M Siddula, Z Cai, D Miao 2018 IEEE 37th International Performance Computing and Communications …, 2018 | 10 | 2018 |
| Decentralized aggregation design and study of federated learning V Malladi, YJ Li, M Siddula, D Seoand, Y Huang 2021 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced …, 2021 | 8 | 2021 |
| Sampling Based -Approximate Data Aggregation in Sensor Equipped IoT Networks J Li, M Siddula, X Cheng, W Cheng, Z Tian, Y Li International Conference on Wireless Algorithms, Systems, and Applications …, 2018 | 4 | 2018 |
| A comparative performance analysis of explainable machine learning models with and without rfecv feature selection technique towards ransomware classification RA Mowri, M Siddula, K Roy arXiv preprint arXiv:2212.04864, 2022 | 2 | 2022 |
| A dynamic link aggregation scheme for hetregenous networks BM Krishna, M Siddula, V Sathya, BR Tamma | 2 | 2014 |
| Interpretable Machine Learning for Detection and Classification of Ransomware Families Based on API Calls. RA Mowri, M Siddula, K Roy arXiv, 2022 | 1 | 2022 |
| Privacy Preserving User Data Publication In Social Networks M Siddula | 1 | 2020 |
| A comprehensive study on IoT privacy and security challenges with focus on spectrum sharing in Next-Generation networks (5G/6G/beyond) LP Rachakonda, M Siddula, V Sathya High-Confidence Computing, 100220, 2024 | | 2024 |
| Analysis of Airworthiness Directives for Formulating Aircraft Sensor Solutions and Maintenance Strategies L Rasaq, K Ferguson, O Yadav, B Kyle, M Siddula SAE Technical Paper, 2024 | | 2024 |
| Is iterative feature selection technique efficient enough? A comparative performance analysis of RFECV feature selection technique in ransomware classification using SHAP RA Mowri, M Siddula, K Roy Discover Internet of Things 3 (1), 21, 2023 | | 2023 |
Fei DaiAssociate Professor of Civil Engineering, West Virginia UniversityVerified email at mail.wvu.edu
