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Rajasekhar Chaganti
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2020 – today
- 2023
- [j14]Rajasekhar Chaganti, Bharat Bhushan, Vinayakumar Ravi
:
A survey on Blockchain solutions in DDoS attacks mitigation: Techniques, open challenges and future directions. Comput. Commun. 197: 96-112 (2023) - [j13]Rajasekhar Chaganti
Deep Learning Approach for SDN-Enabled Intrusion Detection System in IoT Networks. Inf. 14(1): 41 (2023) - [j12]Rajasekhar Chaganti, Vinayakumar Ravi
A multi-view feature fusion approach for effective malware classification using Deep Learning. J. Inf. Secur. Appl. 72: 103402 (2023) - [j11]Vinayakumar Ravi, Rajasekhar Chaganti:
EfficientNet deep learning meta-classifier approach for image-based android malware detection. Multim. Tools Appl. 82(16): 24891-24917 (2023) - 2022
- [j10]Rajasekhar Chaganti, Rajendra V. Boppana
A Comprehensive Review of Denial of Service Attacks in Blockchain Ecosystem and Open Challenges. IEEE Access 10: 96538-96555 (2022) - [j9]Vinayakumar Ravi
Recurrent deep learning-based feature fusion ensemble meta-classifier approach for intelligent network intrusion detection system. Comput. Electr. Eng. 102: 108156 (2022) - [j8]Vinayakumar Ravi
A Multi-View attention-based deep learning framework for malware detection in smart healthcare systems. Comput. Commun. 195: 73-81 (2022) - [j7]Rajasekhar Chaganti
Deep learning based cross architecture internet of things malware detection and classification. Comput. Secur. 120: 102779 (2022) - [j6]Rajasekhar Chaganti
Blockchain-Based Cloud-Enabled Security Monitoring Using Internet of Things in Smart Agriculture. Future Internet 14(9): 250 (2022) - [j5]Narayanavadivoo Gopinathan Bhuvaneswari Amma
LPCOCN: A Layered Paddy Crop Optimization-Based Capsule Network Approach for Anomaly Detection at IoT Edge. Inf. 13(12): 587 (2022) - [j4]Vinayakumar Ravi, Rajasekhar Chaganti, Mamoun Alazab:
Deep Learning Feature Fusion Approach for an Intrusion Detection System in SDN-Based IoT Networks. IEEE Internet Things Mag. 5(2): 24-29 (2022) - [j3]Rajasekhar Chaganti, Vinayakumar Ravi
Image-based malware representation approach with EfficientNet convolutional neural networks for effective malware classification. J. Inf. Secur. Appl. 69: 103306 (2022) - [j2]Rajasekhar Chaganti
Building Heating and Cooling Load Prediction Using Ensemble Machine Learning Model. Sensors 22(19): 7692 (2022) - [i3]Rajasekhar Chaganti, Bharat Bhushan, Vinayakumar Ravi:
The role of Blockchain in DDoS attacks mitigation: techniques, open challenges and future directions. CoRR abs/2202.03617 (2022) - 2021
- [j1]Mourade Azrour
New Efficient and Secured Authentication Protocol for Remote Healthcare Systems in Cloud-IoT. Secur. Commun. Networks 2021: 5546334:1-5546334:12 (2021) - [i2]Rajasekhar Chaganti, Vinayakumar Ravi, Mamoun Alazab, Tuan D. Pham:
Stegomalware: A Systematic Survey of MalwareHiding and Detection in Images, Machine LearningModels and Research Challenges. CoRR abs/2110.02504 (2021) - [i1]Rajasekhar Chaganti, Bharat Bhushan, Anand Nayyar, Mourade Azrour:
Recent trends in Social Engineering Scams and Case study of Gift Card Scam. CoRR abs/2110.06487 (2021)
2010 – 2019
- 2019
- [c1]Rajendra V. Boppana, Rajasekhar Chaganti
Analyzing the Vulnerabilities Introduced by DDoS Mitigation Techniques for Software-Defined Networks. NCS 2019: 169-184
Coauthor Index
aka: Vinayakumar Ravi
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