Research Publications 2022-2023
| Papers Published in Journals |
|---|
| Ahamed, S. I., & Ravi, V. Privacy-Preserving Chaotic Extreme Learning Machine with Fully Homomorphic Encryption. ArXiv (August 2022). https://doi.org/10.48550/arXiv.2208.02587 |
| Kumar, S., Vishal, M., & Ravi, V. Explainable Reinforcement Learning on Financial Stock Trading using SHAP. ArXiv (August 2022). https://doi.org/10.48550/arXiv.2208.08790 |
| Kumar, S., & Ravi, V. Explainable Deep Belief Network based Auto Encoder Using Novel Extended Garson Algorithm. ArXiv (July 2022). https://doi.org/10.48550/arXiv.2207.08501 |
| Kumar, S., & Ravi, V. Application of Causal Inference to Analytical Customer Relationship Management in Banking and Insurance. ArXiv (August 2022). https://doi.org/10.48550/arXiv.2208.10916 |
| Vivek, Y., Ravi, V. & Krishna, P.R. Scalable Feature Subset Selection for Big Data Using Parallel Hybrid Evolutionary Algorithm based Wrapper under Apache Spark Environment. Cluster Comput (August 2022).doi: https://doi.org/10.1007/s10586-022-03725-w |
| Y.Vivek, V. Ravi, A.A. Mane, L. Ramesh Naidu. “Explainable Artificial Intelligence and Causal Inference ATM Fraud Detection”. arXiv:2211.10595 (November 2022). doi: https://doi.org/10.48550/arXiv.2211.10595 |
| D. Pavan Reddy, Y. Vivek, G. Pranay, V. Ravi. “Chaotic Variational Auto encoder-based Adversarial Machine Learning”. Arxiv.2302.12959 (February 2023), doi: https://doi.org/10.48550/arXiv.2302.12959 |
| P.D. Prasad, Y. Vivek, V. Ravi. “FedPNN: One-shot Federated Classification via Evolving Clustering Method and Probabilistic Neural Network Hybrid.” Arxiv.2304.04147 (April 2023), doi: https://doi.org/10.48550/arXiv.2304.04147 |
| Singh Malvika, B. M. Mehtre, S Sangeetha and Venu Govindaraju (2023). User Behaviour based Insider Threat Detection using a Hybrid Learning Approach, Journal of Ambient Intelligence and Humanized Computing – Springer, 14, 4573-4593 (March 2023). Doi: https://doi.org/10.1007/s12652-023-04581-1 Springer, IF 3.662 |
| Yaswanth Gavini, Arun Agarwal, B.M. Mehtre, Thermal to Visual Person Re-Identification Using Collaborative Metric Learning Based on Maximum Margin Matrix Factorization, Pattern Recognition, Volume 134, Feb 2023, 109069, doi: https://doi.org/10.1016/j.patcog.2022.109069, Elsevier, IF 8.518 |
| Sridhar Raj S , Munaga V.N.K. Prasad, Ramadoss Balakrishna, “Generative Segment-pose Representation based Augmentation (GSRA) for Unsupervised Person Re-identification” Image and Vision Computing, Elsevier, (January 2023), doi: https://doi.org/10.1016/j.imavis.2023.104632 IF : 4.7 |
| Asha Kiran, Syam Kumar Pasupuleti, and R. Eswari: A Lightweight Pairing-free Ciphertext-policy Attribute-based Signcryption for Cloud-assisted IoT, Springer, 15, 2390–2403 (Accepted: July 09, 2022), DOI: https://doi.org/10.1007/s12083-022-01356-x |
| Uma Sankararao Varri, Syam Kumar Pasupuleti, Kadambari K.V., Traceable and Revocable Multi-authority Attribute-based Keyword Search for Cloud Storage, Journal of Systems Architecture, Elsevier Volume 132, 2022, 102745, (Accepted: September 25, 2022), DOI: https://doi.org/10.1016/j.sysarc.2022.102745 |
| Vamshi Adouth, Eswari Rajagopal, and Syam Kumar Pasupuleti “EB-CSPA: Efficient Blockchain-based Certificateless Short Signature Public Auditing Scheme for Cloud-based Cyber-physical Systems,” Journal of Electronic Imaging 32(2), 023002 (2 March 2023). https://doi.org/10.1117/1.JEI.32.2.023002 [SCIE and IF:1.1] |
| Asha Kiran, Syam Kumar Pasupuleti, and R. Eswari: Pairing-free Attribute based Signcryption for Cloud assisted IoT. Peer-to-Peer Networking and Applications, Springer, 15, 2390–2403 (July, 2022) https://doi.org/10.1007/s12083-022-01356-x [SCIE, IF:3.488] |
| Asha Kiran, Syam Kumar Pasupuleti, and R. Eswari, Pairing-free Identity based Signcryption for Cloud assisted IoT, International Journal of Cloud Applications and Computing (IJCAC), IGI publication. Vol.12, Issue 1, pp.1-15. DOI: https://doi.org/10.4018/IJCAC.305216 (Scopus) |
| Mandal, S. Provably Secure Certificateless Protocol For Wireless Body Area Network. Wireless Netw 29, 1421–1438 (Published on December 15, 2022). https://doi.org/10.1007/s11276-022-03205-4. |
| Papers Published in Conferences |
| Tejaswi, S., Sastry, V.N., Durga Bhavani, S. (2023). MCMARS: Hybrid Multi-criteria Decision-Making Algorithm for Recommender Systems of Mobile Applications. In: Molla, A.R., Sharma, G., Kumar, P., Rawat, S. (eds) Distributed Computing and Intelligent Technology. ICDCIT 2023. Lecture Notes in Computer Science, vol 13776. Springer, Cham. Doi: https://doi.org/10.1007/978-3-031-24848-1_8 |
| Ahmad, S., Pal, R., Ganivada, A.: Matching Score-based Biometric Quality Estimation For Score And Rank Level Fusion for Person Identification. In: Proc. of ICVGIP 2022, IIT Gandhinagar, India. ACM. (2022). Doi: https://doi.org/10.1145/3571600.3571658 |
| S. Ajjarapu and S. K. Pasupuleti, “Blockchain based Certificateless Privacy Preserving Public Auditing for Cloud Storage Systems,” November, 2022 Seventh International Conference on Parallel, Distributed and Grid Computing (PDGC), Solan, Himachal Pradesh, India, 2022, pp. 286-291, doi: https://doi.org/10.1109/PDGC56933.2022.10053241. |
| N. Joshi, R. Kumar, A. Thakur, A. A. Franklin and N. N. Kumar, “PPAS: Privacy-preserving Resource Discovery for Multi-domain SFC orchestration,” International Conference on Computer Communications and Networks (ICCCN), July 25-28, 2022, pp. 1-7, doi: https://doi.org/10.1109/ICCCN54977.2022.9868926 |
| Singh, H., Verma, M., Cheruku, R.: VS-Net: Multiscale Spatiotemporal Features for Lightweight Video Salient Document Detection. In: Proceedings of 34th IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 1–8. IEEE (January 2023), DOI: https://doi.org/10.48550/arXiv.2301.04447 |
| Hemraj Singh, Mridula Verma, and Ramalingaswamy Cheruku. 2023. DSNet: Efficient Lightweight Model for Video Salient Object Detection for IoT and WoT Applications. In Companion Proceedings of the ACM Web Conference (April 2023) (WWW ’23 Companion). Association for Computing Machinery, New York, NY, USA, 1286–1295. https://doi.org/10.1145/3543873.3587592 |
| Sasubilli, S., Verma, M. (2023). InFi-BERT 1.0: Transformer-Based Language Model for Indian Financial Volatility Prediction. In: Koprinska, I., et al. Machine Learning and Principles and Practice of Knowledge Discovery in Databases. ECML PKDD 2022. Communications in Computer and Information Science, vol 1753. Springer, Cham. https://doi.org/10.1007/978-3-031-23633-4_10 |
| Roy, D., Shaik, S. J. and Sharma, S.: Securing Hardware Accelerator during High-level Synthesis, 2022 IEEE International Symposium on Hardware Oriented Security and Trust (HOST), August 2022, pp. 177-180, doi: https://doi.org/10.1109/HOST54066.2022.9840309 |
| Roy, D., Shaik, S. J. and Sharma, S.: “Securing Hardware Accelerator Against Reverse Engineering Attack,” 2023 IEEE International Conference on Consumer Electronics (ICCE), Las Vegas, NV, USA, January, 2023, pp. 1-6. DOI: https://doi.org/10.1109/ICCE56470.2023.10043486 |
| Satapathy, U.; Thakur, R.; Chattopadhyay S.; Chakraborty,S.: DisProTrack: Distributed Provenance Tracking over Serverless Applications. In: 41st IEEE International Conference on Computer Communications (INFOCOM – May 2023). DOI: http://dx.doi.org/10.1109/INFOCOM53939.2023.10228884 |