Naveen Chilamkurti spends much of his time researching Computer network, The Internet, Computer security, Artificial intelligence and Learning automata. His Real-time computing research extends to the thematically linked field of Computer network. His biological study spans a wide range of topics, including Recommender system and Personalization.
Naveen Chilamkurti has included themes like Wireless and Scalability in his Computer security study. When carried out as part of a general Artificial intelligence research project, his work on Deep learning and Leverage is frequently linked to work in Computer communication networks and Screening game, therefore connecting diverse disciplines of study. His research in Learning automata intersects with topics in Classifier, Intrusion detection system, Data mining and Distributed computing.
His scientific interests lie mostly in Computer network, Wireless, Distributed computing, Wireless network and The Internet. His study looks at the relationship between Computer network and topics such as Real-time computing, which overlap with Forward error correction. He combines subjects such as Learning automata, Scheduling, Algorithm, Wireless mesh network and Cloud computing with his study of Distributed computing.
His study looks at the intersection of Cloud computing and topics like Big data with Scalability. His research is interdisciplinary, bridging the disciplines of Computer security and The Internet. His Wireless sensor network research is multidisciplinary, relying on both Node and Key distribution in wireless sensor networks.
Naveen Chilamkurti mostly deals with Artificial intelligence, The Internet, Cloud computing, Computer security and Big data. His work on Deep learning is typically connected to Sensitivity as part of general Artificial intelligence study, connecting several disciplines of science. His The Internet research is multidisciplinary, incorporating elements of Computer network, Resource allocation, Cryptography, Telecommunications and Social media.
The study incorporates disciplines such as Scalability, Distributed computing and Mobile device in addition to Cloud computing. His studies deal with areas such as Smart city and Botnet as well as Computer security. His research in Smart city focuses on subjects like Emerging technologies, which are connected to Wireless.
The scientist’s investigation covers issues in The Internet, Artificial intelligence, Deep learning, Computer security and Cloud computing. His work carried out in the field of The Internet brings together such families of science as Telecommunications, Recommender system, Computer network and Cryptography. With his scientific publications, his incorporates both Computer network and Resource management.
His study in the fields of Network intrusion detection under the domain of Artificial intelligence overlaps with other disciplines such as Haar wavelet. The concepts of his Computer security study are interwoven with issues in Data center, Probabilistic analysis of algorithms and Protocol. His Cloud computing course of study focuses on Scalability and Smart objects.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
ExoCarta: A Web-Based Compendium of Exosomal Cargo
Shivakumar Keerthikumar;David Chisanga;Dinuka Ariyaratne;Haidar Al Saffar.
Journal of Molecular Biology (2016)
Distributed attack detection scheme using deep learning approach for Internet of Things
Abebe Abeshu Diro;Naveen K. Chilamkurti.
Future Generation Computer Systems (2017)
Robust anonymous authentication protocol for health-care applications using wireless medical sensor networks
Debiao He;Neeraj Kumar;Jianhua Chen;Cheng-Chi Lee.
Multimedia Systems (2015)
Survey on SDN based network intrusion detection system using machine learning approaches
Nasrin Sultana;Naveen K. Chilamkurti;Wei Peng;Rabei Alhadad.
Peer-to-peer Networking and Applications (2019)
A secure temporal-credential-based mutual authentication and key agreement scheme with pseudo identity for wireless sensor networks
Debiao He;Neeraj Kumar;Naveen Chilamkurti.
Information Sciences (2015)
Deep Learning: The Frontier for Distributed Attack Detection in Fog-to-Things Computing
Abebe Abeshu;Naveen Chilamkurti.
IEEE Communications Magazine (2018)
Cross-Layer Support for Energy Efficient Routing in Wireless Sensor Networks
Naveen. Chilamkurti;Sherali. Zeadally;Athanassios V. Vasilakos;Vikas. Sharma.
Journal of Sensors (2009)
An ontology-driven personalized food recommendation in IoT-based healthcare system
V. Subramaniyaswamy;Gunasekaran Manogaran;R. Logesh;V. Vijayakumar.
The Journal of Supercomputing (2019)
Energy-efficient networking: past, present, and future
Sherali Zeadally;Samee Ullah Khan;Naveen K. Chilamkurti.
The Journal of Supercomputing (2012)
Wearable IoT Smart-Log Patch: An Edge Computing-Based Bayesian Deep Learning Network System for Multi Access Physical Monitoring System.
Gunasekaran Manogaran;P. Mohamed Shakeel;Hassan Fouad;Yunyoung Nam.
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: