Analyzing the Vulnerabilities Introduced by DDoS Mitigation Techniques for Software-Defined Networks. - Rajendra V. Boppana; Rajasekhar Chaganti; Vasudha Vedula (NCS, 2019)

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)

Recent trends in Social Engineering Scams and Case study of Gift Card Scam. - Rajasekhar Chaganti; Bharat Bhushan; Anand Nayyar; Mourade Azrour (CoRR, 2021)

New Efficient and Secured Authentication Protocol for Remote Healthcare Systems in Cloud-IoT. - Mourade Azrour; Jamal Mabrouki; Rajasekhar Chaganti (Secur. Commun. Networks, 2021)

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)

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 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)

Deep learning based cross architecture internet of things malware detection and classification. - Rajasekhar Chaganti; Vinayakumar Ravi; Tuan D. Pham (Comput. Secur., 2022)

The role of Blockchain in DDoS attacks mitigation: techniques, open challenges and future directions. - Rajasekhar Chaganti; Bharat Bhushan; Vinayakumar Ravi (CoRR, 2022)

Blockchain-Based Cloud-Enabled Security Monitoring Using Internet of Things in Smart Agriculture. - Rajasekhar Chaganti; Vijayakumar Varadarajan 001; Venkata Subbarao Gorantla; Thippa Reddy Gadekallu; Vinayakumar Ravi (Future Internet, 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)

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)

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)

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)

A survey on Blockchain solutions in DDoS attacks mitigation: Techniques, open challenges and future directions. - Rajasekhar Chaganti; Bharat Bhushan; Vinayakumar Ravi (Comput. Commun., 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)

Deep Learning Approach for SDN-Enabled Intrusion Detection System in IoT Networks. - Rajasekhar Chaganti; Wael Suliman; Vinayakumar Ravi; Amit Dua (Inf., 2023)

EfficientNet deep learning meta-classifier approach for image-based android malware detection. - Vinayakumar Ravi; Rajasekhar Chaganti (Multim. Tools Appl., 2023)