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- research-articleMarch 2024
Next-Generation Imaging Methodology: An Intelligent Transportation System for Consumer Industry
IEEE Transactions on Consumer Electronics (ITOCE), Volume 70, Issue 1Pages 3680–3687https://doi.org/10.1109/TCE.2024.3372906Imaging technology is a recent advancement in developing smart vehicular environments in the consumer industry. Due to the increase in smart vehicles, road safety and other privacy issues become more common. This paper proposes a deep learning-based ...
- research-articleFebruary 2024
Threat Detection and Mitigation for Tactile Internet Driven Consumer IoT-Healthcare System
IEEE Transactions on Consumer Electronics (ITOCE), Volume 70, Issue 1Pages 4249–4257https://doi.org/10.1109/TCE.2024.3370193With the rising adoption of Tactile Internet-driven Consumer Healthcare IoT, ensuring the security and reliability of sensitive healthcare data has become a paramount concern. Threat detection and mitigation in such dynamic and critical environments pose ...
- research-articleFebruary 2024
Adversarial Deep Learning based Dampster–Shafer data fusion model for intelligent transportation system
- Senthil Murugan Nagarajan,
- Ganesh Gopal Devarajan,
- Ramana T.V.,
- Asha Jerlin M.,
- Ali Kashif Bashir,
- Yasser D. Al-Otaibi
AbstractIntelligent Transportation Systems (ITS) have revolutionized transportation by incorporating advanced technologies for efficient and safe mobility. However, these systems face challenges ensuring security and resilience against adversarial ...
Highlights- Proposed DS-ADL model for ITS to enhance the resilience and security against different adversarial attacks.
- Dempster–Shafer-based Multimodal Sensor Fusion used for data fusion.
- Analysis is based on Fog-Cloud Environment.
- ...
- research-articleJuly 2024
Integrated Brain Tumor Detection: PSO-Guided Segmentation with U-Net and CNN Classification
Procedia Computer Science (PROCS), Volume 235, Issue CPages 3447–3457https://doi.org/10.1016/j.procs.2024.04.325AbstractSegmentation of tissues in magnetic resonance (MR) images is vital for effective analysis of brain pathology. However, existing approaches for brain MR image segmentation and feature extraction have limitations such as high computational costs and ...
- research-articleNovember 2023
An integrated security approach for vehicular networks in smart cities
- Ganesh Gopal Devarajan,
- M. Thirunnavukkarasan,
- Sardar Irfanullah Amanullah,
- T. Vignesh,
- Audithan Sivaraman
Transactions on Emerging Telecommunications Technologies (TETT), Volume 34, Issue 11https://doi.org/10.1002/ett.4757Fog computing, which is an extension of cloud computing is one of the cornerstone for Internet of Things, that witnessed rapid growth because of its ability to enhance several difficult problems such as network congestion, latency, and the lack of ...
We introduced blockchain‐enabled secure federated learning in vehicle network (BSFLVN) system model for traffic flow prediction in urban computing to overcome the aforementioned difficulties and narrow the gap. When vehicle devices trade local learning ...
- research-articleSeptember 2023
Consumer Product Recommendation System Using Adapted PSO With Federated Learning Method
IEEE Transactions on Consumer Electronics (ITOCE), Volume 70, Issue 1Pages 2708–2715https://doi.org/10.1109/TCE.2023.3319374In this paper, we proposed adapted particle swarm optimization integrated federated learning-based sentiment analysis integrated deep learning (aPSO-FLSADL) model for personalized recommendations of consumer electronics that leverage SentiWordNet and BERT ...
- research-articleAugust 2023
Enhancing network lifespan in wireless sensor networks using deep learning based Graph Neural Network
- Nithya Rekha Sivakumar,
- Senthil Murugan Nagarajan,
- Ganesh Gopal Devarajan,
- Lokaiah Pullagura,
- Rajendra Prasad Mahapatra
AbstractInadequate energy of sensors is one of the most significant challenges in the development of a reliable wireless sensor network (WSN) that can withstand the demands of growing WSN applications. Implementing a sleep-wake scheduling ...
- research-articleMay 2023JUST ACCEPTED
Intelligent AI-based Healthcare Cyber Security System using Multi-Source Transfer Learning Method
Cyber-security intelligence have made a great impact over healthcare industry where several researchers are developing new techniques to improve security for healthcare systems. Besides, Artificial Intelligence (AI) become the tremendous technology in ...
- research-articleNovember 2022
Ambient intelligence approach: Internet of Things based decision performance analysis for intrusion detection
- T.V. Ramana,
- M. Thirunavukkarasan,
- Amin Salih Mohammed,
- Ganesh Gopal Devarajan,
- Senthil Murugan Nagarajan
Computer Communications (COMS), Volume 195, Issue CPages 315–322https://doi.org/10.1016/j.comcom.2022.09.007AbstractIn recent infrastructures, Internet of Things (IoT) have become an important technology for connecting various actuators and sensors over wireless networks. Due to increase in mission-critical infrastructures, we make use of these new ...