Information Intelligence: Recent submissions
Now showing items 21-40 of 93
-
Applying zero trust security principles to defence mechanisms against data exfiltration attacks
( wiley , 2021 , Book chapter)The zero-trust principle explicitly verifies that the authentication and authorization of all actions are performed regardless of the requesting user's credentials or permissions. This chapter presents the details of a ... -
A formal model-based testing framework for validating an IoT solution for blockchain-based vehicles communication
( SciTePress , 2020 , Conference)The emergence of embedded and connected smart technologies, systems, and devices has enabled the concept of smart cities by connecting every "thing" to the Internet and in particular in transportation through the Internet ... -
Blockchain technology for healthcare: Enhancing shared electronic health record interoperability and integrity
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference)The Electronic Health Records (EHR) sharing system is the state of art for delivering healthcare. The tools within the system can predict outcomes during the patient's lifetime, monitor how effective are treatments, track ... -
Exploration of Carbonate Aggregates in Road Construction using Ultrasonic and Artificial Intelligence Approaches
( Qatar University Press , 2023 , Conference)The COVID-19 pandemic has significantly impacted the construction sector, which is highly sensitive to economic cycles. In order to boost value and efficiency in this sector, the use of innovative exploration technologies ... -
Secure Bluetooth Communication in Smart Healthcare Systems: A Novel Community Dataset and Intrusion Detection System
( MDPI , 2022 , Article)Smart health presents an ever-expanding attack surface due to the continuous adoption of a broad variety of Internet of Medical Things (IoMT) devices and applications. IoMT is a common approach to smart city solutions that ... -
An enhanced ensemble deep random vector functional link network for driver fatigue recognition
( Elsevier , 2023 , Article)This work investigated the use of an ensemble deep random vector functional link (edRVFL) network for electroencephalogram (EEG)-based driver fatigue recognition. Against the low feature learning capability of the edRVFL ... -
A model driven framework for secure outsourcing of computation to the cloud
( IEEE Computer Society , 2014 , Conference)This paper presents a model driven approach to define then coordinate the execution of protocols for secure outsourcing of computation of large datasets in cloud computing environments. First we present our Outsourcing ... -
Paillier's encryption: Implementation and cloud applications
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference)Paillier's additive homomorphic encryption is increasingly used in recent research in the field of cloud secure outsourcing and privacy-preserving computation in addition to other cryptographic tools such as garbled circuits. ... -
A Domain Specific Language for Secure Outsourcing of Computation to the Cloud
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference)Secure outsourcing of computation has gained importance with the proliferation of cloud services. However, existing outsourcing protocol specification languages are mainly suitable for secure multi-party computation. They ... -
Reasoning about security policies of services using answer set programming
( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference)In this paper, we propose a formal framework for checking the consistency of security policies of services using Answer Set Programming (ASP). We illustrate that the formalisation of security policies of the service providers ... -
Automatic generation of optimized workflow for distributed computations on large-scale matrices
( Springer Verlag , 2014 , Conference)Efficient evaluation of distributed computation on large-scale data is prominent in modern scientific computation; especially analysis of big data, image processing and data mining applications. This problem is particularly ... -
Integration of federated machine learning and blockchain for the provision of secure big data analytics for Internet of Things
( Elsevier , 2021 , Article)Big data enables the optimization of complex supply chains through Machine Learning (ML)-based data analytics. However, data analytics comes with challenges such as the loss of control and privacy leading to increased risk ... -
Inpatient Discharges Forecasting for Singapore Hospitals by Machine Learning
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)Hospitals can predetermine the admission rate and facilitate resource allocation based on valid emergency requests and bed capacity estimation. The excess unoccupied beds can be determined with the help of forecasting the ... -
Ensemble deep learning: A review
( Elsevier Ltd , 2022 , Other)Ensemble learning combines several individual models to obtain better generalization performance. Currently, deep learning architectures are showing better performance compared to the shallow or traditional models. Deep ... -
Automated layer-wise solution for ensemble deep randomized feed-forward neural network
( Elsevier B.V. , 2022 , Article)The randomized feed-forward neural network is a single hidden layer feed-forward neural network that enables efficient learning by optimizing only the output weights. The ensemble deep learning framework significantly ... -
Evolutionary Multitask Optimization: Fundamental research questions, practices, and directions for the future
( Elsevier B.V. , 2022 , Article)Transfer Optimization has gained a remarkable attention from the Swarm and Evolutionary Computation community in the recent years. It is undeniable that the concepts underlying Transfer Optimization are formulated on solid ... -
A comprehensive review of the deep learning-based tumor analysis approaches in histopathological images: segmentation, classification and multi-learning tasks
( Springer , 2023 , Article)Medical Imaging has become a vital technique that has been embraced in the diagnosis and treatment process of cancer. Histopathological slides, which microscopically examine the suspicious tissue, are considered the golden ... -
An iterative cyclic tri-strategy hybrid stochastic fractal with adaptive differential algorithm for global numerical optimization
( Elsevier Inc. , 2023 , Article)Many real-life problems can be formulated as numerical optimization problems. Such problems pose a challenge for researchers when designing efficient techniques that are capable of finding the desired solution without ... -
Compressive sensing based electronic nose platform
( Elsevier , 2017 , Article)Electronic nose (EN) systems play a significant role for gas monitoring and identification in gas plants. Using an EN system which consists of an array of sensors provides a high performance. Nevertheless, this performance ... -
Smart energy usage and visualization based on micro-moments
( Springer Verlag , 2020 , Conference)Due to global energy demands and overwhelming environmental dilemmas, exorbitant domestic energy usage is a colossal barrier towards energy efficiency. Tremendous research efforts have been poured into a plethora of methods ...
