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Intelligent Control and Security of Fog Resources in Healthcare Systems via a Cognitive Fog Model
- Mohammed Al-Khafajiy,
- Safa Otoum,
- Thar Baker,
- Muhammad Asim,
- Zakaria Maamar,
- Moayad Aloqaily,
- Mark Taylor,
- Martin Randles
There have been significant advances in the field of Internet of Things (IoT) recently, which have not always considered security or data security concerns: A high degree of security is required when considering the sharing of medical data over networks. ...
The Security of Medical Data on Internet Based on Differential Privacy Technology
The study aims at discussing the security of medical data in the Internet era. By using k-anonymity (K-A) and differential privacy (DP), an algorithm model combining K-A and DP was proposed, which was simulated through the experiments. In the Magic and ...
FinPrivacy: A Privacy-preserving Mechanism for Fingerprint Identification
Fingerprint provides an extremely convenient way of identification for a wide range of real-life applications owing to its universality, uniqueness, collectability, and invariance. However, digitized fingerprints may reveal the privacy of individuals. ...
Privacy-preserving Time-series Medical Images Analysis Using a Hybrid Deep Learning Framework
Time-series medical images are an important type of medical data that contain rich temporal and spatial information. As a state-of-the-art, computer-aided diagnosis (CAD) algorithms are usually used on these image sequences to improve analysis accuracy. ...
An Efficient Angle-based Universum Least Squares Twin Support Vector Machine for Classification
Universum-based support vector machine incorporates prior information about the distribution of data in training of the classifier. This leads to better generalization performance but with increased computation cost. Various twin hyperplane-based models ...
Design and Implementation of BCI-based Intelligent Upper Limb Rehabilitation Robot System
The present study aimed to use the proposed system to measure and analyze brain waves of users to allow intelligent upper limb rehabilitation and to optimize the system using a genetic algorithm. The study used EPOC Neuroheadset for Emotiv with EEG ...
EPRT: An Efficient Privacy-Preserving Medical Service Recommendation and Trust Discovery Scheme for eHealth System
As one of the essential applications of health information technology, the eHealth system plays a significant role in enabling various internet medicine service scenes, most of which primarily rely on service recommendation or an evaluation mechanism. To ...
A Novel Image Inpainting Framework Using Regression
In this article, a blockwise regression-based image inpainting framework is proposed. The core idea is to fill the unknown region in two stages: Extrapolate the edges to the unknown region and then fill the unknown pixels values in each sub-region ...
A Hybrid Feature Selection Algorithm Based on a Discrete Artificial Bee Colony for Parkinson's Diagnosis
Parkinson's disease is a neurodegenerative disease that affects millions of people around the world and cannot be cured fundamentally. Automatic identification of early Parkinson's disease on feature data sets is one of the most challenging medical tasks ...
Power Side-Channel Analysis of RNS GLV ECC Using Machine and Deep Learning Algorithms
Many Internet of Things applications in smart cities use elliptic-curve cryptosystems due to their efficiency compared to other well-known public-key cryptosystems such as RSA. One of the important components of an elliptic-curve-based cryptosystem is the ...
ISDNet: AI-enabled Instance Segmentation of Aerial Scenes for Smart Cities
- Prateek Garg,
- Anirudh Srinivasan Chakravarthy,
- Murari Mandal,
- Pratik Narang,
- Vinay Chamola,
- Mohsen Guizani
Aerial scenes captured by UAVs have immense potential in IoT applications related to urban surveillance, road and building segmentation, land cover classification, and so on, which are necessary for the evolution of smart cities. The advancements in deep ...
Robust Facial Image Super-Resolution by Kernel Locality-Constrained Coupled-Layer Regression
Super-resolution methods for facial image via representation learning scheme have become very effective methods due to their efficiency. The key problem for the super-resolution of facial image is to reveal the latent relationship between the low-...
Predictive Analytics for Smart Parking: A Deep Learning Approach in Forecasting of IoT Data
Nowadays, a sustainable and smart city focuses on energy efficiency and the reduction of polluting emissions through smart mobility projects and initiatives to “sensitize” infrastructure. Smart parking is one of the building blocks of intelligent mobility,...
Deep Attentive Multimodal Network Representation Learning for Social Media Images
The analysis for social networks, such as the socially connected Internet of Things, has shown a deep influence of intelligent information processing technology on industrial systems for Smart Cities. The goal of social media representation learning is to ...
Random Graph-based Multiple Instance Learning for Structured IoT Smart City Applications
Because of the complex activities involved in IoT networks of a smart city, an important question arises: What are the core activities of the networks as a whole and its basic information flow structure? Identifying and discovering core activities and ...
Machine Learning Empowered IoT for Intelligent Vehicle Location in Smart Cities
Intelligent Transportation System (ITS) can boost the development of smart cities, and artificial intelligence and edge computing are key technologies that support the implementation of ITS. Vehicle localization is critical for ITS since the safety ...
Spatio-temporal Bayesian Learning for Mobile Edge Computing Resource Planning in Smart Cities
A smart city improves operational efficiency and comfort of living by harnessing techniques such as the Internet of Things (IoT) to collect and process data for decision-making. To better support smart cities, data collected by IoT should be stored and ...
Sustainable Security for the Internet of Things Using Artificial Intelligence Architectures
In this digital age, human dependency on technology in various fields has been increasing tremendously. Torrential amounts of different electronic products are being manufactured daily for everyday use. With this advancement in the world of Internet ...
Multimodal Brain Tumor Segmentation Based on an Intelligent UNET-LSTM Algorithm in Smart Hospitals
Smart hospitals are important components of smart cities. An intelligent medical system for brain tumor segmentation is required to construct smart hospitals. To achieve intelligent brain tumor segmentation, morphological variety and serious category ...
Dynamic Scheduling Algorithm in Cyber Mimic Defense Architecture of Volunteer Computing
- Qianmu Li,
- Shunmei Meng,
- Xiaonan Sang,
- Hanrui Zhang,
- Shoujin Wang,
- Ali Kashif Bashir,
- Keping Yu,
- Usman Tariq
Volunteer computing uses computers volunteered by the general public to do distributed scientific computing. Volunteer computing is being used in high-energy physics, molecular biology, medicine, astrophysics, climate study, and other areas. These ...
Time-Efficient Ensemble Learning with Sample Exchange for Edge Computing
In existing ensemble learning algorithms (e.g., random forest), each base learner’s model needs the entire dataset for sampling and training. However, this may not be practical in many real-world applications, and it incurs additional computational costs. ...
CROWD: Crow Search and Deep Learning based Feature Extractor for Classification of Parkinson’s Disease
- Mehedi Masud,
- Parminder Singh,
- Gurjot Singh Gaba,
- Avinash Kaur,
- Roobaea Alroobaea,
- Mubarak Alrashoud,
- Salman Ali Alqahtani
Edge Artificial Intelligence (AI) is the latest trend for next-generation computing for data analytics, particularly in predictive edge analytics for high-risk diseases like Parkinson’s Disease (PD). Deep learning learning techniques facilitate edge AI ...
Rotating behind Privacy: An Improved Lightweight Authentication Scheme for Cloud-based IoT Environment
The advancements in the internet of things (IoT) require specialized security protocols to provide unbreakable security along with computation and communication efficiencies. Moreover, user privacy and anonymity has emerged as an integral part, along with ...
Waiting for Tactile: Robotic and Virtual Experiences in the Fog
Social robots adopt an emotional touch to interact with users inducing and transmitting humanlike emotions. Natural interaction with humans needs to be in real time and well grounded on the full availability of information on the environment. These robots ...
A Blockchain-empowered Access Control Framework for Smart Devices in Green Internet of Things
Green Internet of things (GIoT) generally refers to a new generation of Internet of things design concept. It can save energy and reduce emissions, reduce environmental pollution, waste of resources, and harm to human body and environment, in which green ...