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- research-article
ESC&RAO: Enabling Seamless Connectivity Resource Allocation in Tactile IoT for Consumer Electronics
IEEE Transactions on Consumer Electronics, Volume 70, Issue 3•Aug. 2024, pp 5506-5515 • https://doi.org/10.1109/TCE.2023.3327136In the emerging era of the tactile Internet of Things (IoT) for consumer electronics, achieving seamless connectivity and efficient resource allocation poses critical challenges. To address these challenges and enhance resource allocation in tactile IoT ...
- research-article
DNN Inference Acceleration for Smart Devices in Industry 5.0 by Decentralized Deep Reinforcement Learning
IEEE Transactions on Consumer Electronics, Volume 70, Issue 1•Feb. 2024, pp 1519-1530 • https://doi.org/10.1109/TCE.2023.3339468With the emergence of Industry 5.0, there has been a significant surge in the need for intelligent services within the realm of smart devices. Currently, deep neural networks (DNNs) have become the predominant technology in driving advancements in ...
- research-article
CoopGBFS: A Federated Learning and Game-Theoretic-Based Approach for Personalized Security, Recommendation in 5G Beyond IoT Environments for Consumer Electronics
IEEE Transactions on Consumer Electronics, Volume 70, Issue 1•Feb. 2024, pp 2648-2656 • https://doi.org/10.1109/TCE.2023.3305508In 5G IoT for consumer electronics security recommendation systems, Machine Learning (ML) based Federated Learning (FL) methods plays an important for the detection of cyberattacks. For this objective, several different models for effective feature ...
- research-article
Diverse classifiers with label dependencies for long-tail relation extraction in big data
Computers and Electrical Engineering, Volume 110, Issue C•Sep 2023 • https://doi.org/10.1016/j.compeleceng.2023.108812AbstractRelation extraction is a critical step in knowledge recommendation for big data, but long-tailed distribution in real-world relations presents a significant challenge. Most relations fail to gather enough training instances, which forms a long ...
- research-article
FLPK-BiSeNet: Federated Learning Based on Priori Knowledge and Bilateral Segmentation Network for Image Edge Extraction
- Lin Teng,
- Yulong Qiao,
- Muhammad Shafiq,
- Gautam Srivastava,
- Abdul Rehman Javed,
- Thippa Reddy Gadekallu,
- Shoulin Yin
IEEE Transactions on Network and Service Management, Volume 20, Issue 2•June 2023, pp 1529-1542 • https://doi.org/10.1109/TNSM.2023.3273991Federated learning can effectively ensure data security and improve the problem of data islanding. However, the performance of federated learning-based schemes could be better due to the imbalance of image data. Therefore, this paper proposes a federated ...
- research-article
Efficient distributed broadcasting algorithms for cognitive radio networks-enabled smart agriculture
Computers and Electrical Engineering, Volume 108, Issue C•May 2023 • https://doi.org/10.1016/j.compeleceng.2023.108690AbstractSmart agriculture has a broad prospect with the fast development of information technologies, such as Internet of Things, big data, edge computing and artificial intelligence. As more intelligent devices are deployed for agricultural scenarios, ...
- research-article
Cybersecurity knowledge graph enabled attack chain detection for cyber-physical systems
Computers and Electrical Engineering, Volume 108, Issue C•May 2023 • https://doi.org/10.1016/j.compeleceng.2023.108660AbstractThe Cyber-Physical System covers a wide range of applications, many of which are involved in critical infrastructure, and the cybersecurity attacks on them become more and more threatening. Currently, most of the comprehensive analysis of ...
- research-article
Privacy‐preserving remote sensing images recognition based on limited visual cryptography
CAAI Transactions on Intelligence Technology, Volume 8, Issue 4•December 2023, pp 1166-1177 • https://doi.org/10.1049/cit2.12164AbstractWith the arrival of new data acquisition platforms derived from the Internet of Things (IoT), this paper goes beyond the understanding of traditional remote sensing technologies. Deep fusion of remote sensing and computer vision has hit the ...
- research-article
A Privacy Protection Framework for Medical Image Security without Key Dependency Based on Visual Cryptography and Trusted Computing
Computational Intelligence and Neuroscience, Volume 2023•2023 • https://doi.org/10.1155/2023/6758406The development of mobile Internet and the popularization of intelligent sensor devices greatly facilitate the generation and transmission of massive multimedia data including medical images and pathological models on the open network. The popularity of ...
- research-article
Medical Specialty Classification Based on Semiadversarial Data Augmentation
Computational Intelligence and Neuroscience, Volume 2023•2023 • https://doi.org/10.1155/2023/4919371Rapidly increasing adoption of electronic health record (EHR) systems has caused automated medical specialty classification to become an important research field. Medical specialty classification not only improves EHR system retrieval efficiency and helps ...
- Article
New Generation Power System Security Protection Technology Based on Dynamic Defense
Artificial Intelligence and Security•July 2022, pp 710-721• https://doi.org/10.1007/978-3-031-06791-4_56AbstractWith the development of power information systems and the evolution of attack means, the traditional security protection scheme is difficult to deal with the increasing network attacks. In order to deal with the increasingly severe security risks, ...
- research-article
Large-Capacity Local Multi-Dimensional Information Hiding Method for 6G Networks
IEEE Network: The Magazine of Global Internetworking, Volume 36, Issue 4•July/August 2022, pp 160-165 • https://doi.org/10.1109/MNET.001.2100412A 6G network is not only faster, but also offers a wider range of services than 5G networks, which will lead to an increased number of participants. However, combined with the Internet of Everything, 6G networks face security issues such as man-in-the-...
- research-article
Artificial Intelligence Enabled Effective Fault Prediction Techniques in Cloud Computing Environment for Improving Resource Optimization
- Punit Gupta,
- Junaid Hussain Abro,
- Chunlin Li,
- Muhammad Shafiq,
- A. Vishnukumar,
- Shivlal Mewada,
- Kamlesh Malpani,
- Jonathan Osei-Owusu
The bulk of the fault tolerance techniques that are in use today laid their primary emphasis, in the event that a virtual machine fails, on the production of clones to replace it, rather than on the early prediction of the failure itself in advance. ...
- research-article
Analyzing IoT Attack Feature Association with Threat Actors
Internet of Things (IoT) refers to the interconnection via the Internet of computing devices embedded in everyday objects, enabling them to send and receive data. These devices can be controlled remotely, which makes them susceptible to exploitation or ...
- research-article
A New V-Net Convolutional Neural Network Based on Four-Dimensional Hyperchaotic System for Medical Image Encryption
- Celestine Iwendi,
- Xiaowei Wang,
- Shoulin Yin,
- Muhammad Shafiq,
- Asif Ali Laghari,
- Shahid Karim,
- Omar Cheikhrouhou,
- Wajdi Alhakami,
- Habib Hamam
In the transmission of medical images, if the image is not processed, it is very likely to leak data and personal privacy, resulting in unpredictable consequences. Traditional encryption algorithms have limited ability to deal with complex data. The ...
- rapid-communication
An improved watermarking algorithm for robustness and imperceptibility of data protection in the perception layer of internet of things
- Mohammad Kamrul Hasan,
- Samar Kamil,
- Muhammad Shafiq,
- Yuvaraj S,
- E. Saravana Kumar,
- Rajiv Vincent,
- Nazmus Shaker Nafi
Pattern Recognition Letters, Volume 152, Issue C•Dec 2021, pp 283-294 • https://doi.org/10.1016/j.patrec.2021.10.032AbstractEmergence of Internet of Things (IoT) and modern digital applications such as digital financial services and deliveries make it easy to reproduce and re-distribute digital contents thus give room to so many copyright violations of illegal use of ...
- research-article
Constriction Factor Particle Swarm Optimization based load balancing and cell association for 5G heterogeneous networks
- Mohammad Kamrul Hasan,
- Teong Chee Chuah,
- Ayman A. El-Saleh,
- Muhammad Shafiq,
- Shoaib Ahmed Shaikh,
- Shayla Islam,
- Moez Krichen
Computer Communications, Volume 180, Issue C•Dec 2021, pp 328-337 • https://doi.org/10.1016/j.comcom.2021.10.021AbstractWith the rapidly growing traffic demand, the cellular industry is moving toward heterogeneity to fulfill the heavy traffic requirement. The existing heterogeneous networks are comprised of the Long-Term Evolution (LTE), LTE-Advanced (...
Graphical abstractDisplay Omitted
Highlights- Cell association and load balancing issues deteriorate throughput and outage.
- ...
- research-article
Communication Delay Modeling for Wide Area Measurement System in Smart Grid Internet of Things Networks
- Rahim Khan,
- Mohammad Kamrul Hasan,
- Shayla Islam,
- Muhammad Shafiq,
- Fatima Rayan Awad Ahmed,
- Somya Khidir Mohmmed Ataelmanan,
- Nissrein Babiker Mohammed Babiker,
- Khairul Azmi Abu Bakar
We present communication frameworks, models, and protocols of smart grid Internet of Things (IoT) networks based on the IEEE and IEC standards. The measurement, control, and monitoring of grid being achieved through phasor measurement unit (PMU) based ...