Author

M. Sreenivasu

h-index 2 View on Semantic Scholar

We have 3 of 22 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Conference Aug 2026

An Intelligent Deep Learning-Based Intrusion Detection System for IoT Nodes using CNN- BiLSTM and Grasshopper Optimization

Recent networks have a remote larger attack surface owing to the quick spread of Internet of Things (IoT) strategies, which for effective and instantaneous Intrusion Detection Systems (IDS). Deep-IDS, a real-time Deep Learning (DL) IDS intended for IoT nodes with limited resources, is presented in this work. The raw ne...

D. Sameera, M. Sreenivasu, Aruna Kommu · International Conference on... · 0 citations

Conference Aug 2026

Enhancing Financial Fraud Detection using LSTM- DNN with Hyena Optimization: A Comparative and Explainable Deep Learning Approach

Financial Fraud Detection (FFD) have increase serious as fraudulent activities continue to change and pose significant risks to financial institutions and consumers alike. The increasing sophistication of fraudulent activities necessitates innovative approaches to identify and mitigate potential risks in financial tran...

Vinod Kumar Uppalapu, M. Sreenivasu, Appikonda Sadhana · International Conference on... · 0 citations

Conference Aug 2026

Intelligent Intrusion Detection System Using Hybrid Swin Transformer-RNN for Efficient Cyber Threat Mitigation

Due to the rising frequency as well as complexity of Cyber-attacks the real-time Intrusion Detection Systems (IDS) have a greater demand for reliable. Conventional IDS techniques frequently encounter performance limitations when dealing with high-dimensional data as well as temporal patterns. In order to efficiently de...

B. Deepthi, M. Sreenivasu, Chichari Rajesh · International Conference on... · 0 citations