N
Naveed Islam
Researcher at Islamia College University
Publications - 57
Citations - 1617
Naveed Islam is an academic researcher from Islamia College University. The author has contributed to research in topics: Encryption & Wireless sensor network. The author has an hindex of 14, co-authored 49 publications receiving 814 citations. Previous affiliations of Naveed Islam include Centre national de la recherche scientifique & National University of Computer and Emerging Sciences.
Papers
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Journal ArticleDOI
A novel deep learning based framework for the detection and classification of breast cancer using transfer learning
Sana Ullah Khan,Naveed Islam,Zahoor Jan,Ikram Ud Din,Joel J. P. C. Rodrigues,Joel J. P. C. Rodrigues +5 more
TL;DR: A novel deep learning framework for the detection and classification of breast cancer in breast cytology images using the concept of transfer learning is proposed and it has been observed that the proposed framework outclass all the other deep learning architectures in terms of accuracy in detection and classified of breast tumor in cytological images.
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An Energy Efficient and Secure IoT-Based WSN Framework: An Application to Smart Agriculture
TL;DR: An IoT-based WSN framework as an application to smart agriculture comprising different design levels is proposed and it is proved that the proposed framework significantly enhanced the communication performance as well as the energy consumption and routing overheads for smart agriculture, as compared to other solutions.
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Intrusion Prevention Framework for Secure Routing in WSN-Based Mobile Internet of Things
TL;DR: An intrusion prevention framework for mobile IoT devices with its integration to WSN is proposed to provide data security with improved network delivery ratio and demonstrate a significant improvement when compared to existing solutions in terms of different network metrics.
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Secret Sharing-Based Energy-Aware and Multi-Hop Routing Protocol for IoT Based WSNs
TL;DR: The experimental results demonstrate the efficacy of proposed energy-aware and secure multi-hop routing protocol in terms of network lifetime, network throughput, energy consumption, average end-to-end delay, and routing overhead by 36% in comparison with the existing work.
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A blockchain-based fog computing framework for activity recognition as an application to e-Healthcare services
TL;DR: This work proposes an activity monitoring and recognition framework, which is based on multi-class cooperative categorization procedure to improve the activity classification accuracy in videos supporting the fog or cloud computing-based blockchain architecture.