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EVENTS/PROJECTS JAVA FULL STACK DEVELOPMENT

EVENTS/PROJECTS

S.no Student H.no Project Title Mentor Project Outcomes
1. 217R1A05P4

217R1A05M9

217R1A05L5

 Membership Inference Attack and Defense for Wireless Signal Classifier with Deep Learning

 

 Dr. Voruganti Naresh kumar The project demonstrates how deep learning–based wireless signal classifiers can be vulnerable to membership inference attacks, revealing whether specific data samples were part of the training dataset.
2 217R1A0534

217R1A0519

217R1A0511

 Detecting Web Attacks With End-to-End Deep Learning Mr SVSV Prasad Sanaboina An end-to-end deep learning model can automatically identify and classify web attacks from raw traffic data with high accuracy, improving real-time cybersecurity detection and response.

 
3 227R5A0524

217R1A05M1

217R1A05R2

 Detection of phising website using SVM and Light GBM

Algorithm

 Mr.A.Kiran Kumar Using SVM and LightGBM algorithms, the system accurately classifies phishing websites based on extracted features, improving early detection and preventing online fraud.