| The combined approach for anomaly detection using neural networks and clustering techniques AS Aneetha, S Bose Computer Science & Engineering 2 (4), 37, 2012 | 44 | 2012 |
| Hybrid network intrusion detection system using expert rule based approach AS Aneetha, TS Indhu, S Bose Proceedings of the Second International Conference on Computational Science …, 2012 | 30 | 2012 |
| Probabilistic approach for intrusion detection system-fomc technique AS Aneetha, S Bose 2014 Sixth International Conference on Advanced Computing (ICoAC), 178-183, 2014 | 19 | 2014 |
| Hybrid method based feature selection using simulated annealing and fuzzy clustering techniques AS Aneetha, S Bose Advances in Natural and Applied Sciences 9 (6 SE), 19-24, 2015 | 8 | 2015 |
| Hybrid network intrusion detection system using expert rule based approach S Bose, AS Aneetha, S Indhu The Second International Conference on Computational Science, Engineering …, 0 | 8 | |
| Geometric Structure Based Feature Transformation for Network Anomaly Detection System AS Aneetha 2023 12th International Conference on Advanced Computing (ICoAC), 1-6, 2023 | | 2023 |
| IRIS- BASED AUTOMATIC RATION VENDING MACHINE ASA Sandhya ICRTCSDA'23, 732-740, 2023 | | 2023 |
| A COMPARATIVE STUDY OF DEEP LEARNING ALGORITHMS USED IN DETECTING CARDIOVASCULAR DISEASES MR A S Aneetha Advancedengineeringsciences 55 (01), 213-223, 2023 | | 2023 |
| A Dynamic Intrusion Detection System based on Multivariate Hotelling's T2 Statistical Approach for network Environnment A A S, S Bose The Scientific World Journal 2015, 9 pages, 2015 | | 2015 |
| Oral paper presentation on network security BV Sundaram, S Bose, SI Charge, MK Suganthi, R Ramya, T Sasikala, ... | | |
