Year : 2023
A hybrid detection system for DDoS attacks based on deep sparse autoencoder and light gradient boost machine
Cite this Research Publication : Batchu, R. K., & Seetha, H. (2023). A hybrid detection system for DDoS attacks based on deep sparse autoencoder and light gradient boost machine. Journal of Information & Knowledge Management, 22(01), 2250071.
Year : 2023
Design of a medical decision-supporting system for the identification of brain tumors using entropy-based thresholding and non-local texture features
Cite this Research Publication : Reddy, K. R., Batchu, R. K., Polinati, S., & Bavirisetti, D. P. (2023). Design of a medical decision-supporting system for the identification of brain tumors using entropy-based thresholding and non-local texture features. Frontiers in Human Neuroscience, 17, 1157155.
Year : 2022
On improving the performance of DDoS attack detection system
Cite this Research Publication : Batchu, R. K., & Seetha, H. (2022). On improving the performance of DDoS attack detection system. Microprocessors and Microsystems, 93, 104571.
Publisher : Elsevier
Year : 2022
An integrated approach explaining the detection of distributed denial of service attacks
Cite this Research Publication : 3. Batchu, R. K., & Seetha, H. (2022). An integrated approach explaining the detection of distributed denial of service attacks. Computer Networks, 216, 109269.
Publisher : Elsevier
Year : 2021
A generalized machine learning model for DDoS attacks detection using hybrid feature selection and hyperparameter tuning
Cite this Research Publication : 5. Batchu, Raj Kumar, and Hari Seetha. "A generalized machine learning model for DDoS attacks detection using hybrid feature selection and hyperparameter tuning." Computer Networks 200 (2021): 108498.
Publisher : Elsevier