Rajasekhar Chaganti

According to our database, Rajasekhar Chaganti authored at least 18 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

EfficientNet deep learning meta-classifier approach for image-based android malware detection.

Vinayakumar Ravi, Rajasekhar Chaganti

Multim. Tools Appl., July, 2023

Deep Learning Approach for SDN-Enabled Intrusion Detection System in IoT Networks.

Rajasekhar Chaganti, Wael Suliman, Vinayakumar Ravi, Amit Dua

Inf., January, 2023

A multi-view feature fusion approach for effective malware classification using Deep Learning.

Rajasekhar Chaganti, Vinayakumar Ravi, Tuan D. Pham

J. Inf. Secur. Appl., 2023

A survey on Blockchain solutions in DDoS attacks mitigation: Techniques, open challenges and future directions.

Rajasekhar Chaganti, Bharat Bhushan, Vinayakumar Ravi

Comput. Commun., 2023

2022

Building Heating and Cooling Load Prediction Using Ensemble Machine Learning Model.

Rajasekhar Chaganti, Furqan Rustam, Talal Daghriri, Isabel de la Torre Díez, Juan Luís Vidal Mazón, Carmen Lili Rodríguez, Imran Ashraf

Sensors, 2022

Image-based malware representation approach with EfficientNet convolutional neural networks for effective malware classification.

Rajasekhar Chaganti, Vinayakumar Ravi, Tuan D. Pham

J. Inf. Secur. Appl., 2022

Deep Learning Feature Fusion Approach for an Intrusion Detection System in SDN-Based IoT Networks.

Vinayakumar Ravi, Rajasekhar Chaganti, Mamoun Alazab

IEEE Internet Things Mag., 2022

LPCOCN: A Layered Paddy Crop Optimization-Based Capsule Network Approach for Anomaly Detection at IoT Edge.

Narayanavadivoo Gopinathan Bhuvaneswari Amma, Velliangiri Sarveshwaran, Vinayakumar Ravi, Rajasekhar Chaganti

Inf., 2022

Blockchain-Based Cloud-Enabled Security Monitoring Using Internet of Things in Smart Agriculture.

Rajasekhar Chaganti, Vijayakumar Varadarajan, Venkata Subbarao Gorantla, Thippa Reddy Gadekallu, Vinayakumar Ravi

Future Internet, 2022

The role of Blockchain in DDoS attacks mitigation: techniques, open challenges and future directions.

Rajasekhar Chaganti, Bharat Bhushan, Vinayakumar Ravi

CoRR, 2022

Deep learning based cross architecture internet of things malware detection and classification.

Rajasekhar Chaganti, Vinayakumar Ravi, Tuan D. Pham

Comput. Secur., 2022

A Multi-View attention-based deep learning framework for malware detection in smart healthcare systems.

Vinayakumar Ravi, Mamoun Alazab, Shymalagowri Selvaganapathy, Rajasekhar Chaganti

Comput. Commun., 2022

Recurrent deep learning-based feature fusion ensemble meta-classifier approach for intelligent network intrusion detection system.

Vinayakumar Ravi, Rajasekhar Chaganti, Mamoun Alazab

Comput. Electr. Eng., 2022

A Comprehensive Review of Denial of Service Attacks in Blockchain Ecosystem and Open Challenges.

Rajasekhar Chaganti, Rajendra V. Boppana, Vinayakumar Ravi, Kashif Munir, Mubarak Almutairi, Furqan Rustam, Ernesto Lee, Imran Ashraf

IEEE Access, 2022

2021

New Efficient and Secured Authentication Protocol for Remote Healthcare Systems in Cloud-IoT.

Mourade Azrour, Jamal Mabrouki, Rajasekhar Chaganti

Secur. Commun. Networks, 2021

Recent trends in Social Engineering Scams and Case study of Gift Card Scam.

Rajasekhar Chaganti, Bharat Bhushan, Anand Nayyar, Mourade Azrour

CoRR, 2021

Stegomalware: A Systematic Survey of MalwareHiding and Detection in Images, Machine LearningModels and Research Challenges.

Rajasekhar Chaganti, Vinayakumar Ravi, Mamoun Alazab, Tuan D. Pham

CoRR, 2021

2019

Analyzing the Vulnerabilities Introduced by DDoS Mitigation Techniques for Software-Defined Networks.

Rajendra V. Boppana, Rajasekhar Chaganti, Vasudha Vedula

Proceedings of the National Cyber Summit, 2019