Rajasekhar Chaganti

18 papers Journal 17Unranked 1

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	A multi-view feature fusion approach for effective malware classification using Deep Learning. J. Inf. Secur. Appl. Rajasekhar Chaganti, Vinayakumar Ravi, Tuan D. Pham
2023	J	`jnl`	A survey on Blockchain solutions in DDoS attacks mitigation: Techniques, open challenges and future directions. Comput. Commun. Rajasekhar Chaganti, Bharat Bhushan, Vinayakumar Ravi
2023	J	`jnl`	Deep Learning Approach for SDN-Enabled Intrusion Detection System in IoT Networks. Inf. Rajasekhar Chaganti, Wael Suliman, Vinayakumar Ravi, Amit Dua
2023	J	`jnl`	EfficientNet deep learning meta-classifier approach for image-based android malware detection. Multim. Tools Appl. Vinayakumar Ravi, Rajasekhar Chaganti
2022	J	`jnl`	A Comprehensive Review of Denial of Service Attacks in Blockchain Ecosystem and Open Challenges. IEEE Access Rajasekhar Chaganti, Rajendra V. Boppana, Vinayakumar Ravi, Kashif Munir, Mubarak Almutairi, Furqan Rustam, Ernesto Lee, Imran Ashraf
2022	J	`jnl`	A Multi-View attention-based deep learning framework for malware detection in smart healthcare systems. Comput. Commun. Vinayakumar Ravi, Mamoun Alazab, Shymalagowri Selvaganapathy, Rajasekhar Chaganti
2022	J	`jnl`	Blockchain-Based Cloud-Enabled Security Monitoring Using Internet of Things in Smart Agriculture. Future Internet Rajasekhar Chaganti, Vijayakumar Varadarajan, Venkata Subbarao Gorantla, Thippa Reddy Gadekallu, Vinayakumar Ravi
2022	J	`jnl`	Building Heating and Cooling Load Prediction Using Ensemble Machine Learning Model. Sensors Rajasekhar Chaganti, Furqan Rustam, Talal Daghriri, Isabel de la Torre Díez, Juan Luís Vidal Mazón, Carmen Lili Rodríguez, Imran Ashraf
2022	J	`jnl`	Deep Learning Feature Fusion Approach for an Intrusion Detection System in SDN-Based IoT Networks. IEEE Internet Things Mag. Vinayakumar Ravi, Rajasekhar Chaganti, Mamoun Alazab
2022	J	`jnl`	Deep learning based cross architecture internet of things malware detection and classification. Comput. Secur. Rajasekhar Chaganti, Vinayakumar Ravi, Tuan D. Pham
2022	J	`jnl`	Image-based malware representation approach with EfficientNet convolutional neural networks for effective malware classification. J. Inf. Secur. Appl. Rajasekhar Chaganti, Vinayakumar Ravi, Tuan D. Pham
2022	J	`jnl`	LPCOCN: A Layered Paddy Crop Optimization-Based Capsule Network Approach for Anomaly Detection at IoT Edge. Inf. Narayanavadivoo Gopinathan Bhuvaneswari Amma, Velliangiri Sarveshwaran, Vinayakumar Ravi, Rajasekhar Chaganti
2022	J	`jnl`	Recurrent deep learning-based feature fusion ensemble meta-classifier approach for intelligent network intrusion detection system. Comput. Electr. Eng. Vinayakumar Ravi, Rajasekhar Chaganti, Mamoun Alazab
2022	J	`jnl`	The role of Blockchain in DDoS attacks mitigation: techniques, open challenges and future directions. CoRR Rajasekhar Chaganti, Bharat Bhushan, Vinayakumar Ravi
2021	J	`jnl`	New Efficient and Secured Authentication Protocol for Remote Healthcare Systems in Cloud-IoT. Secur. Commun. Networks Mourade Azrour, Jamal Mabrouki, Rajasekhar Chaganti
2021	J	`jnl`	Recent trends in Social Engineering Scams and Case study of Gift Card Scam. CoRR Rajasekhar Chaganti, Bharat Bhushan, Anand Nayyar, Mourade Azrour
2021	J	`jnl`	Stegomalware: A Systematic Survey of MalwareHiding and Detection in Images, Machine LearningModels and Research Challenges. CoRR Rajasekhar Chaganti, Vinayakumar Ravi, Mamoun Alazab, Tuan D. Pham
2019	—	`conf`	Analyzing the Vulnerabilities Introduced by DDoS Mitigation Techniques for Software-Defined Networks. NCS Rajendra V. Boppana, Rajasekhar Chaganti, Vasudha Vedula