| 2025 | AINA | Fusion of Significant Features and Superposition Feature Engineering for Malware Detection. | Rama Krishna Koppanati, Sateesh Kumar Peddoju, Arya Deshmukh, Lakshya Joshi |
| 2025 | AINA | BERT-Powered Malware Detection with Potential Regional and Contextual Features. | Rama Krishna Koppanati, Sateesh Kumar Peddoju, Mansi Yadav |
| 2025 | MASS | DroidSwarmAI: Android Malware Detection using GCN and Bio-Inspired Feature Selection. | Amogh Babu K. A, Sateesh Kumar Peddoju |
| 2025 | MASS | A Three-Level Feature Selection Framework for Android Malware Detection. | Abdul Kadir, Sateesh Kumar Peddoju |
| 2024 | DCOSS | (POSTER) Federated Learning Assisted Model for Android Malware Detection using Gannet Optimization Algorithm. | Shikha Arya, Sateesh Kumar Peddoju |
| 2024 | LCN | Optimal Caching Strategy for Data Freshness in IoT Applications with Edge Computing. | Surabhi Sharma, Ajay Chaudhary, Sateesh Kumar Peddoju |
| 2024 | Mobisys | Two-level Computation Offloading to Optimize the Energy Consumption of UAV-mounted Edge Nodes. | Parth Srivastava, Sateesh Kumar Peddoju |
| 2023 | ICDCN | cHPCe: Data Locality and Memory Bandwidth Contention-aware Containerized HPC. | Animesh Kuity, Sateesh Kumar Peddoju |
| 2022 | LCN | IoT-Cache: Caching Transient Data at the IoT Edge. | Surabhi Sharma, Sateesh Kumar Peddoju |
| 2021 | MASS | Impact of Clustering Algorithms and Energy Harvesting Scheme on IoT/WSN Infrastructures. | Ajay Chaudhary, Sateesh Kumar Peddoju |
| 2018 | ICDCN | Mobile Computation Bursting: An application partitioning and offloading decision engine. | Anuradha Ravi, Sateesh Kumar Peddoju |
| 2018 | MOBICOM | Poster: Hybrid Android Malware Detection by Combining Supervised and Unsupervised Learning. | Anshul Arora, Sateesh Kumar Peddoju, Vikas Chouhan, Ajay Chaudhary |
| 2018 | TrustCom | NTPDroid: A Hybrid Android Malware Detector Using Network Traffic and System Permissions. | Anshul Arora, Sateesh Kumar Peddoju |
| 2017 | ICDCN | Minimizing Network Traffic Features for Android Mobile Malware Detection. | Anshul Arora, Sateesh Kumar Peddoju |
| 2017 | MASS | Study of Internet-of-Things Messaging Protocols Used for Exchanging Data with External Sources. | Ajay Chaudhary, Sateesh Kumar Peddoju, Kavitha Kadarla |
| 2017 | MASS | Energy - Service Trade-Off Model for Mobile Cloud Computing. | Anuradha Ravi, Sateesh Kumar Peddoju |
| 2017 | TrustCom | Design and Analysis of a Modified Remote Attestation Protocol. | Monika Santra, Sateesh Kumar Peddoju, A. K. Bhattacharjee, Arindam Khan |
| 2014 | CIT | Detection of Insider Attacks in Cloud Based e-Healthcare Environment. | Gaurav Garkoti, Sateesh Kumar Peddoju, Raman Balasubramanian |
| 2014 | WCNC | Energy efficient mobile vision system for plant leaf disease identification. | Shitala Prasad, Sateesh Kumar Peddoju, Debashis Ghosh |