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