Rajasekhar Chaganti

dblp:270/0046 · DBLP profile ↗
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7ranked-venue papers
4as first author
7since 2021 · last 2023
0000-0001-5341-6729ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 4 · 3 first-author · 4 since 2021Computer networks · 2 · 1 first-author · 2 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021
YearPublicationVenuePosition
2023 A survey on Blockchain solutions in DDoS attacks mitigation: Techniques, open challenges and future directions
Rajasekhar Chaganti, Vinaykumar R.
Comput. Commun.1
2023 A multi-view feature fusion approach for effective malware classification using Deep Learning
Rajasekhar Chaganti, Vinaykumar R., Tuan D. Pham
J. Inf. Secur. Appl.1
2023 EfficientNet deep learning meta-classifier approach for image-based android malware detection
Vinaykumar R., Rajasekhar Chaganti
Multim. Tools Appl.2
2022 A Multi-View attention-based deep learning framework for malware detection in smart healthcare systems
Vinaykumar R., Mamoun Alazab, Shymalagowri Selvaganapathy, Rajasekhar Chaganti
Comput. Commun.4
2022 Deep learning based cross architecture internet of things malware detection and classification
Rajasekhar Chaganti, Vinaykumar R., Tuan D. Pham
Comput. Secur.1
2022 Image-based malware representation approach with EfficientNet convolutional neural networks for effective malware classification
Rajasekhar Chaganti, Vinaykumar R., Tuan D. Pham
J. Inf. Secur. Appl.1
2021 New Efficient and Secured Authentication Protocol for Remote Healthcare Systems in Cloud-IoT
abstract
Recently, Internet of Things and cloud computing are known to be emerged technologies in digital evolution. The first one is a large network used to interconnect embedded devices, while the second one refers to the possibility of offering infrastructure that can be used from anywhere and anytime. Due to their ability to provide remote services, IoT and cloud computing are actually integrated in various areas especially in the healthcare domain. However, the user private data such as health data must be secured by enhancing the authentication methods. Recently, Sharma and Kalra projected an authentication scheme for distant healthcare service-based cloud-IoT. Then, authors demonstrated that the proposed scheme is secure against various attacks. However, we prove in this paper that Sharma and Kalra’s protocol is prone to password guessing and smart card stolen attacks. Besides, we show that it has some security issues. For that reason, we propose an efficient and secured authentication scheme for remote healthcare systems in cloud-IoT. Then, we prove informally that our projected authentication scheme is secure against multiple attacks. Furthermore, the experimental tests done using Scyther tool show that our proposed scheme can withstand against known attacks as it ensures security requirements.
Mourade Azrour, Jamal Mabrouki, Rajasekhar Chaganti
Secur. Commun. Networks3